diff --git a/assistants/codespace-assistant/uv.lock b/assistants/codespace-assistant/uv.lock
index 761e5908..9af21d89 100644
--- a/assistants/codespace-assistant/uv.lock
+++ b/assistants/codespace-assistant/uv.lock
@@ -172,14 +172,12 @@ name = "assistant-drive"
 version = "0.1.0"
 source = { editable = "../../libraries/python/assistant-drive" }
 dependencies = [
-    { name = "context" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "context", editable = "../../libraries/python/context" },
     { name = "pydantic", specifier = ">=2.6.1" },
     { name = "pydantic-settings", specifier = ">=2.5.2" },
 ]
@@ -408,7 +406,7 @@ name = "click"
 version = "8.1.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 }
 wheels = [
@@ -491,25 +489,6 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [{ name = "pyright", specifier = ">=1.1.389" }]
 
-[[package]]
-name = "context"
-version = "0.1.0"
-source = { editable = "../../libraries/python/context" }
-dependencies = [
-    { name = "events" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "events", editable = "../../libraries/python/events" }]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.389" },
-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "cryptography"
 version = "44.0.0"
@@ -1264,7 +1243,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
@@ -1850,7 +1829,7 @@ name = "tqdm"
 version = "4.67.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737 }
 wheels = [
diff --git a/assistants/explorer-assistant/uv.lock b/assistants/explorer-assistant/uv.lock
index 680b535d..98aab84f 100644
--- a/assistants/explorer-assistant/uv.lock
+++ b/assistants/explorer-assistant/uv.lock
@@ -172,14 +172,12 @@ name = "assistant-drive"
 version = "0.1.0"
 source = { editable = "../../libraries/python/assistant-drive" }
 dependencies = [
-    { name = "context" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "context", editable = "../../libraries/python/context" },
     { name = "pydantic", specifier = ">=2.6.1" },
     { name = "pydantic-settings", specifier = ">=2.5.2" },
 ]
@@ -408,7 +406,7 @@ name = "click"
 version = "8.1.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 }
 wheels = [
@@ -448,25 +446,6 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [{ name = "pyright", specifier = ">=1.1.389" }]
 
-[[package]]
-name = "context"
-version = "0.1.0"
-source = { editable = "../../libraries/python/context" }
-dependencies = [
-    { name = "events" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "events", editable = "../../libraries/python/events" }]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.389" },
-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "cryptography"
 version = "44.0.0"
@@ -1232,7 +1211,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
@@ -1805,7 +1784,7 @@ name = "tqdm"
 version = "4.67.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737 }
 wheels = [
diff --git a/assistants/guided-conversation-assistant/uv.lock b/assistants/guided-conversation-assistant/uv.lock
index ae4a258b..539fc545 100644
--- a/assistants/guided-conversation-assistant/uv.lock
+++ b/assistants/guided-conversation-assistant/uv.lock
@@ -217,14 +217,12 @@ name = "assistant-drive"
 version = "0.1.0"
 source = { editable = "../../libraries/python/assistant-drive" }
 dependencies = [
-    { name = "context" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "context", editable = "../../libraries/python/context" },
     { name = "pydantic", specifier = ">=2.6.1" },
     { name = "pydantic-settings", specifier = ">=2.5.2" },
 ]
@@ -453,7 +451,7 @@ name = "click"
 version = "8.1.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/96/d3/f04c7bfcf5c1862a2a5b845c6b2b360488cf47af55dfa79c98f6a6bf98b5/click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de", size = 336121 }
 wheels = [
@@ -493,25 +491,6 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [{ name = "pyright", specifier = ">=1.1.389" }]
 
-[[package]]
-name = "context"
-version = "0.1.0"
-source = { editable = "../../libraries/python/context" }
-dependencies = [
-    { name = "events" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "events", editable = "../../libraries/python/events" }]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.389" },
-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "cryptography"
 version = "43.0.1"
@@ -1464,7 +1443,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
@@ -2121,7 +2100,7 @@ name = "tqdm"
 version = "4.66.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/58/83/6ba9844a41128c62e810fddddd72473201f3eacde02046066142a2d96cc5/tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad", size = 169504 }
 wheels = [
diff --git a/assistants/prospector-assistant/pyproject.toml b/assistants/prospector-assistant/pyproject.toml
index 5824a62c..370760ea 100644
--- a/assistants/prospector-assistant/pyproject.toml
+++ b/assistants/prospector-assistant/pyproject.toml
@@ -9,15 +9,11 @@ dependencies = [
     "assistant-extensions[attachments]>=0.1.0",
     "content-safety>=0.1.0",
     "deepmerge>=2.0",
-    "document-skill>=0.1.0",
     "guided-conversation>=0.1.0",
     "html2docx>=1.6.0",
     "markdown>=3.6",
     "openai-client>=0.1.0",
     "openai>=1.61.0",
-    "posix-skill>=0.1.0",
-    "prospector-skill>=0.1.0",
-    "skill-library>=0.1.0",
 ]
 
 [tool.uv]
@@ -27,12 +23,8 @@ package = true
 assistant-drive = { path = "../../libraries/python/assistant-drive", editable = true }
 assistant-extensions = { path = "../../libraries/python/assistant-extensions", editable = true }
 content-safety = { path = "../../libraries/python/content-safety/", editable = true }
-document-skill = { path = "../../libraries/python/skills/skills/document-skill", editable = true }
 guided-conversation = { path = "../../libraries/python/guided-conversation", editable = true }
 openai-client = { path = "../../libraries/python/openai-client", editable = true }
-posix-skill = { path = "../../libraries/python/skills/skills/posix-skill", editable = true }
-prospector-skill = { path = "../../libraries/python/skills/skills/prospector-skill", editable = true }
-skill-library = { path = "../../libraries/python/skills/skill-library", editable = true }
 
 [build-system]
 requires = ["hatchling"]
diff --git a/assistants/prospector-assistant/uv.lock b/assistants/prospector-assistant/uv.lock
index fe17b147..fa2776d1 100644
--- a/assistants/prospector-assistant/uv.lock
+++ b/assistants/prospector-assistant/uv.lock
@@ -178,15 +178,11 @@ dependencies = [
     { name = "assistant-extensions", extra = ["attachments"] },
     { name = "content-safety" },
     { name = "deepmerge" },
-    { name = "document-skill" },
     { name = "guided-conversation" },
     { name = "html2docx" },
     { name = "markdown" },
     { name = "openai" },
     { name = "openai-client" },
-    { name = "posix-skill" },
-    { name = "prospector-skill" },
-    { name = "skill-library" },
 ]
 
 [package.dev-dependencies]
@@ -199,15 +195,11 @@ requires-dist = [
     { name = "assistant-extensions", extras = ["attachments"], editable = "../../libraries/python/assistant-extensions" },
     { name = "content-safety", editable = "../../libraries/python/content-safety" },
     { name = "deepmerge", specifier = ">=2.0" },
-    { name = "document-skill", editable = "../../libraries/python/skills/skills/document-skill" },
     { name = "guided-conversation", editable = "../../libraries/python/guided-conversation" },
     { name = "html2docx", specifier = ">=1.6.0" },
     { name = "markdown", specifier = ">=3.6" },
     { name = "openai", specifier = ">=1.61.0" },
     { name = "openai-client", editable = "../../libraries/python/openai-client" },
-    { name = "posix-skill", editable = "../../libraries/python/skills/skills/posix-skill" },
-    { name = "prospector-skill", editable = "../../libraries/python/skills/skills/prospector-skill" },
-    { name = "skill-library", editable = "../../libraries/python/skills/skill-library" },
 ]
 
 [package.metadata.requires-dev]
@@ -218,14 +210,12 @@ name = "assistant-drive"
 version = "0.1.0"
 source = { editable = "../../libraries/python/assistant-drive" }
 dependencies = [
-    { name = "context" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "context", editable = "../../libraries/python/context" },
     { name = "pydantic", specifier = ">=2.6.1" },
     { name = "pydantic-settings", specifier = ">=2.5.2" },
 ]
@@ -454,7 +444,7 @@ name = "click"
 version = "8.1.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/96/d3/f04c7bfcf5c1862a2a5b845c6b2b360488cf47af55dfa79c98f6a6bf98b5/click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de", size = 336121 }
 wheels = [
@@ -494,25 +484,6 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [{ name = "pyright", specifier = ">=1.1.389" }]
 
-[[package]]
-name = "context"
-version = "0.1.0"
-source = { editable = "../../libraries/python/context" }
-dependencies = [
-    { name = "events" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "events", editable = "../../libraries/python/events" }]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.389" },
-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "cryptography"
 version = "43.0.1"
@@ -590,28 +561,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/87/a1/8c5287991ddb8d3e4662f71356d9656d91ab3a36618c3dd11b280df0d255/dnspython-2.6.1-py3-none-any.whl", hash = "sha256:5ef3b9680161f6fa89daf8ad451b5f1a33b18ae8a1c6778cdf4b43f08c0a6e50", size = 307696 },
 ]
 
-[[package]]
-name = "document-skill"
-version = "0.1.0"
-source = { editable = "../../libraries/python/skills/skills/document-skill" }
-dependencies = [
-    { name = "context" },
-    { name = "events" },
-    { name = "openai-client" },
-    { name = "skill-library" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "context", editable = "../../libraries/python/context" },
-    { name = "events", editable = "../../libraries/python/events" },
-    { name = "openai-client", editable = "../../libraries/python/openai-client" },
-    { name = "skill-library", editable = "../../libraries/python/skills/skill-library" },
-]
-
-[package.metadata.requires-dev]
-dev = [{ name = "pyright", specifier = ">=1.1.389" }]
-
 [[package]]
 name = "docx2txt"
 version = "0.8"
@@ -1487,35 +1436,13 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/9b/fb/a70a4214956182e0d7a9099ab17d50bfcba1056188e9b14f35b9e2b62a0d/portalocker-2.10.1-py3-none-any.whl", hash = "sha256:53a5984ebc86a025552264b459b46a2086e269b21823cb572f8f28ee759e45bf", size = 18423 },
 ]
 
-[[package]]
-name = "posix-skill"
-version = "0.1.0"
-source = { editable = "../../libraries/python/skills/skills/posix-skill" }
-dependencies = [
-    { name = "context" },
-    { name = "events" },
-    { name = "openai-client" },
-    { name = "skill-library" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "context", editable = "../../libraries/python/context" },
-    { name = "events", editable = "../../libraries/python/events" },
-    { name = "openai-client", editable = "../../libraries/python/openai-client" },
-    { name = "skill-library", editable = "../../libraries/python/skills/skill-library" },
-]
-
-[package.metadata.requires-dev]
-dev = [{ name = "pyright", specifier = ">=1.1.389" }]
-
 [[package]]
 name = "prance"
 version = "23.6.21.0"
@@ -1589,28 +1516,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/3d/b6/e6d98278f2d49b22b4d033c9f792eda783b9ab2094b041f013fc69bcde87/propcache-0.2.0-py3-none-any.whl", hash = "sha256:2ccc28197af5313706511fab3a8b66dcd6da067a1331372c82ea1cb74285e036", size = 11603 },
 ]
 
-[[package]]
-name = "prospector-skill"
-version = "0.1.0"
-source = { editable = "../../libraries/python/skills/skills/prospector-skill" }
-dependencies = [
-    { name = "context" },
-    { name = "events" },
-    { name = "openai-client" },
-    { name = "skill-library" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "context", editable = "../../libraries/python/context" },
-    { name = "events", editable = "../../libraries/python/events" },
-    { name = "openai-client", editable = "../../libraries/python/openai-client" },
-    { name = "skill-library", editable = "../../libraries/python/skills/skill-library" },
-]
-
-[package.metadata.requires-dev]
-dev = [{ name = "pyright", specifier = ">=1.1.389" }]
-
 [[package]]
 name = "pybars4"
 version = "0.9.13"
@@ -2177,49 +2082,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254", size = 11053 },
 ]
 
-[[package]]
-name = "skill-library"
-version = "0.1.0"
-source = { editable = "../../libraries/python/skills/skill-library" }
-dependencies = [
-    { name = "assistant-drive" },
-    { name = "assistant-extensions", extra = ["attachments"] },
-    { name = "context" },
-    { name = "events" },
-    { name = "openai" },
-    { name = "openai-client" },
-    { name = "pydantic" },
-    { name = "pydantic-settings" },
-    { name = "python-dotenv" },
-    { name = "python-liquid" },
-    { name = "requests" },
-    { name = "tiktoken" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "assistant-drive", editable = "../../libraries/python/assistant-drive" },
-    { name = "assistant-extensions", extras = ["attachments"], editable = "../../libraries/python/assistant-extensions" },
-    { name = "context", editable = "../../libraries/python/context" },
-    { name = "events", editable = "../../libraries/python/events" },
-    { name = "openai", specifier = ">=1.16.1" },
-    { name = "openai-client", editable = "../../libraries/python/openai-client" },
-    { name = "pydantic", specifier = ">=2.6.1" },
-    { name = "pydantic-settings", specifier = ">=2.3.4" },
-    { name = "python-dotenv", specifier = ">=1.0.1" },
-    { name = "python-liquid", specifier = ">=1.12.1" },
-    { name = "requests", specifier = ">=2.32.0" },
-    { name = "tiktoken", specifier = ">=0.8.0" },
-]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.389" },
-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "sniffio"
 version = "1.3.1"
@@ -2288,7 +2150,7 @@ name = "tqdm"
 version = "4.66.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/58/83/6ba9844a41128c62e810fddddd72473201f3eacde02046066142a2d96cc5/tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad", size = 169504 }
 wheels = [
diff --git a/assistants/skill-assistant/assistant/skill_assistant.py b/assistants/skill-assistant/assistant/skill_assistant.py
index e474717e..82ef87e8 100644
--- a/assistants/skill-assistant/assistant/skill_assistant.py
+++ b/assistants/skill-assistant/assistant/skill_assistant.py
@@ -7,16 +7,16 @@
 # using the AssistantApp class from the semantic-workbench-assistant package and leveraging
 # the skills library to create a skill-based assistant.
 
+import asyncio
 from pathlib import Path
-from typing import Any, Optional
+from textwrap import dedent
+from typing import Any, Callable
 
 import openai_client
 from assistant_drive import Drive, DriveConfig
-from common_skill import CommonSkillDefinition
 from content_safety.evaluators import CombinedContentSafetyEvaluator
-from guided_conversation_skill import GuidedConversationSkillDefinition
-from openai_client.chat_driver import ChatDriverConfig
-from posix_skill import PosixSkillDefinition
+from openai_client.chat_driver import ChatDriver, ChatDriverConfig
+from openai_client.tools import ToolFunctions
 from semantic_workbench_api_model.workbench_model import (
     ConversationEvent,
     ConversationMessage,
@@ -30,22 +30,20 @@
     ContentSafetyEvaluator,
     ConversationContext,
 )
-from skill_library import Assistant
-from skill_library.types import Metadata
+from skill_library import Engine
+from skill_library.skills.common.common_skill import CommonSkill, CommonSkillConfig
+from skill_library.skills.posix.posix_skill import PosixSkill, PosixSkillConfig
+from skill_library.usage import get_routine_usage
 
 from assistant.skill_event_mapper import SkillEventMapper
 from assistant.workbench_helpers import WorkbenchMessageProvider
 
-from .assistant_registry import AssistantRegistry
 from .config import AssistantConfigModel
-from .logging import logger
+from .logging import extra_data, logger
+from .skill_engine_registry import SkillEngineRegistry
 
 logger.info("Starting skill assistant service.")
 
-#
-# define the service ID, name, and description
-#
-
 # The service id to be registered in the workbench to identify the assistant.
 service_id = "skill-assistant.made-exploration"
 
@@ -108,7 +106,7 @@ async def content_evaluator_factory(conversation_context: ConversationContext) -
 # skill assistant library. We can improve this in the future by adding a
 # conversation ID to the skill assistant library and mapping it to a
 # conversation in the workbench.
-assistant_registry = AssistantRegistry()
+engine_registry = SkillEngineRegistry()
 
 
 # Handle the event triggered when the assistant is added to a conversation.
@@ -134,24 +132,40 @@ async def on_conversation_created(conversation_context: ConversationContext) ->
 async def on_message_created(
     conversation_context: ConversationContext, event: ConversationEvent, message: ConversationMessage
 ) -> None:
-    """
-    Handle the event triggered when a new chat message is created in the conversation.
-
-    **Note**
-    - This event handler is specific to chat messages.
-    - To handle other message types, you can add additional event handlers for those message types.
-      - @assistant.events.conversation.message.log.on_created
-      - @assistant.events.conversation.message.command.on_created
-      - ...additional message types
-    - To handle all message types, you can use the root event handler for all message types:
-      - @assistant.events.conversation.message.on_created
-    """
+    """Handle new chat messages"""
+    logger.debug("Message received", extra_data({"content": message.content}))
 
-    # Pass the message to the core response logic.
+    config = await assistant_config.get(conversation_context.assistant)
+    engine = await get_or_register_skill_engine(conversation_context, config)
+
+    # Check if routine is running
+    if engine.is_routine_running():
+        try:
+            logger.debug("Resuming routine with message", extra_data({"message": message.content}))
+            resume_task = asyncio.create_task(engine.resume_routine(message.content))
+            resume_task.add_done_callback(
+                lambda t: logger.debug("Routine resumed", extra_data({"success": not t.exception()}))
+            )
+        except Exception as e:
+            logger.error(f"Failed to resume routine: {e}")
+        finally:
+            return
+
+    # Use a chat driver to respond.
     async with conversation_context.set_status("thinking..."):
-        config = await assistant_config.get(conversation_context.assistant)
+        chat_driver_config = ChatDriverConfig(
+            openai_client=openai_client.create_client(config.service_config),
+            model=config.chat_driver_config.openai_model,
+            instructions=config.chat_driver_config.instructions,
+            message_provider=WorkbenchMessageProvider(conversation_context.id, conversation_context),
+            functions=ChatFunctions(engine).list_functions(),
+        )
+        chat_driver = ChatDriver(chat_driver_config)
+        chat_functions = ChatFunctions(engine)
+        chat_driver_config.functions = [chat_functions.list_routines]
+
         metadata: dict[str, Any] = {"debug": {"content_safety": event.data.get(content_safety.metadata_key, {})}}
-        await respond_to_conversation(conversation_context, config, message, metadata)
+        await chat_driver.respond(message.content, metadata=metadata or {})
 
 
 @assistant_service.events.conversation.message.command.on_created
@@ -162,88 +176,162 @@ async def on_command_message_created(
     Handle the event triggered when a new command message is created in the conversation.
     """
 
-    # Pass the message to the core response logic. The skill library handles
-    # commands, so we don't need to do anything here.
-    async with conversation_context.set_status("thinking..."):
-        config = await assistant_config.get(conversation_context.assistant)
-        metadata: dict[str, Any] = {"debug": {"content_safety": event.data.get(content_safety.metadata_key, {})}}
-        await respond_to_conversation(conversation_context, config, message, metadata)
-
-
-# Core response logic for handling messages (chat or command) in the conversation.
-async def respond_to_conversation(
-    conversation_context: ConversationContext,
-    config: AssistantConfigModel,
-    message: ConversationMessage,
-    metadata: Optional[Metadata] = None,
-) -> None:
-    """
-    Respond to a conversation message.
-    """
-    assistant = await get_or_register_assistant(conversation_context, config)
-    try:
-        await assistant.put_message(message.content, metadata)
-    except Exception as e:
-        logger.exception("Exception in on_message_created.")
-        await conversation_context.send_messages(
-            NewConversationMessage(
-                message_type=MessageType.note,
-                content=f"Unhandled error: {e}",
+    config = await assistant_config.get(conversation_context.assistant)
+    engine = await get_or_register_skill_engine(conversation_context, config)
+    functions = ChatFunctions(engine)
+
+    command_string = event.data["message"]["content"]
+
+    match command_string:
+        case "/help":
+            help_msg = dedent("""
+            ```markdown
+            - __/help__: Display this help message.
+            - __/list_routines__: List all routines.
+            - __/run("<name>", ...args)__: Run a routine.
+            ```
+            """).strip()
+            await conversation_context.send_messages(
+                NewConversationMessage(
+                    content=str(help_msg),
+                    message_type=MessageType.notice,
+                ),
             )
-        )
+        case _:
+            try:
+                function_string, args, kwargs = ToolFunctions.parse_fn_string(command_string)
+                if not function_string:
+                    await conversation_context.send_messages(
+                        NewConversationMessage(
+                            content="Invalid command.",
+                            message_type=MessageType.notice,
+                        ),
+                    )
+                    return
+            except ValueError as e:
+                await conversation_context.send_messages(
+                    NewConversationMessage(
+                        content=f"Invalid command. {e}",
+                        message_type=MessageType.notice,
+                        metadata={},
+                    ),
+                )
+                return
+
+            # Run the function.
+            result = await getattr(functions, function_string)(*args, **kwargs)
+
+            if result:
+                await conversation_context.send_messages(
+                    NewConversationMessage(
+                        content=str(result),
+                        message_type=MessageType.notice,
+                    ),
+                )
 
 
 # Get or register an assistant for the conversation.
-async def get_or_register_assistant(
+async def get_or_register_skill_engine(
     conversation_context: ConversationContext, config: AssistantConfigModel
-) -> Assistant:
+) -> Engine:
     # Get an assistant from the registry.
-    assistant_id = conversation_context.id
-    assistant = assistant_registry.get_assistant(assistant_id)
+    engine_id = conversation_context.id
+    engine = engine_registry.get_engine(engine_id)
 
     # Register an assistant if it's not there.
-    if not assistant:
-        assistant_drive_root = Path(".data") / assistant_id / "assistant"
-        assistant_metadata_drive_root = Path(".data") / assistant_id / ".assistant"
+    if not engine:
+        assistant_drive_root = Path(".data") / engine_id / "assistant"
+        assistant_metadata_drive_root = Path(".data") / engine_id / ".assistant"
         assistant_drive = Drive(DriveConfig(root=assistant_drive_root))
         language_model = openai_client.create_client(config.service_config)
-        message_provider = WorkbenchMessageProvider(assistant_id, conversation_context)
-        chat_driver_config = ChatDriverConfig(
-            openai_client=language_model,
-            model=config.chat_driver_config.openai_model,
-            instructions=config.chat_driver_config.instructions,
-            message_provider=message_provider,
-        )
+        message_provider = WorkbenchMessageProvider(engine_id, conversation_context)
 
-        assistant = Assistant(
-            assistant_id=conversation_context.id,
-            name="Assistant",
+        engine = Engine(
+            engine_id=conversation_context.id,
             message_history_provider=message_provider.get_history,
-            chat_driver_config=chat_driver_config,
             drive_root=assistant_drive_root,
             metadata_drive_root=assistant_metadata_drive_root,
             skills=[
-                CommonSkillDefinition(
-                    name="common",
-                    language_model=language_model,
-                    drive=assistant_drive.subdrive("common"),
-                    chat_driver_config=chat_driver_config,
+                (
+                    CommonSkill,
+                    CommonSkillConfig(
+                        name="common",
+                        language_model=language_model,
+                        drive=assistant_drive.subdrive("common"),
+                    ),
                 ),
-                PosixSkillDefinition(
-                    name="posix",
-                    sandbox_dir=Path(".data") / conversation_context.id,
-                    mount_dir="/mnt/data",
-                    chat_driver_config=chat_driver_config,
-                ),
-                GuidedConversationSkillDefinition(
-                    name="guided_conversation",
-                    language_model=language_model,
-                    drive=assistant_drive.subdrive("guided_conversation"),
-                    chat_driver_config=chat_driver_config,
+                (
+                    PosixSkill,
+                    PosixSkillConfig(
+                        name="posix",
+                        sandbox_dir=Path(".data") / conversation_context.id,
+                        mount_dir="/mnt/data",
+                    ),
                 ),
+                # GuidedConversationSkillDefinition(
+                #     name="guided_conversation",
+                #     language_model=language_model,
+                #     drive=assistant_drive.subdrive("guided_conversation"),
+                #     chat_driver_config=chat_driver_config,
+                # ),
             ],
         )
 
-        await assistant_registry.register_assistant(assistant, SkillEventMapper(conversation_context))
+        await engine_registry.register_engine(engine, SkillEventMapper(conversation_context))
+
+    return engine
+
+
+class ChatFunctions:
+    """
+    These functions provide usage context and output markdown. It's a layer
+    closer to the assistant.
+    """
 
-    return assistant
+    def __init__(self, engine: Engine) -> None:
+        self.engine = engine
+
+    async def clear_stack(self) -> str:
+        """Clears the assistant's routine stack and event queue."""
+        await self.engine.clear(include_drives=False)
+        return "Assistant stack cleared."
+
+    async def list_routines(self) -> str:
+        """Lists all the routines available in the assistant."""
+
+        routines: list[str] = []
+        for skill_name, skill in self.engine._skills.items():
+            for routine_name in skill.list_routines():
+                routine = skill.get_routine(routine_name)
+                if not routine:
+                    continue
+                usage = get_routine_usage(routine, f"{skill_name}.{routine_name}")
+                routines.append(f"- {usage.to_markdown()}")
+
+        if not routines:
+            return "No routines available."
+
+        routine_string = "```markdown\n" + "\n".join(routines) + "\n```"
+        return routine_string
+
+    async def run(self, designation: str, *args, **kwargs) -> str:
+        try:
+            task = asyncio.create_task(self.engine.run_routine(designation, *args, **kwargs))
+            task.add_done_callback(self._handle_routine_completion)
+        except Exception as e:
+            logger.error(f"Failed to start routine {designation}: {e}")
+            return f"Failed to start routine: {designation}"
+
+        return ""
+
+    def _handle_routine_completion(self, task: asyncio.Task) -> None:
+        try:
+            result = task.result()
+            logger.debug(f"Routine completed with result: {result}")
+        except Exception as e:
+            logger.error(f"Routine failed with error: {e}")
+
+    def list_functions(self) -> list[Callable]:
+        return [
+            self.list_routines,
+        ]
diff --git a/assistants/skill-assistant/assistant/assistant_registry.py b/assistants/skill-assistant/assistant/skill_engine_registry.py
similarity index 73%
rename from assistants/skill-assistant/assistant/assistant_registry.py
rename to assistants/skill-assistant/assistant/skill_engine_registry.py
index e3c4adfc..e5a6dd3e 100644
--- a/assistants/skill-assistant/assistant/assistant_registry.py
+++ b/assistants/skill-assistant/assistant/skill_engine_registry.py
@@ -1,12 +1,12 @@
 import asyncio
 
-from skill_library import Assistant
+from skill_library import Engine
 
 from .logging import extra_data, logger
 from .skill_event_mapper import SkillEventMapperProtocol
 
 
-class AssistantRegistry:
+class SkillEngineRegistry:
     """
     This class handles the creation and management of skill assistants for this
     service. Each conversation has its own assistant and we subscribe to each
@@ -15,38 +15,38 @@ class AssistantRegistry:
     """
 
     def __init__(self) -> None:
-        self.assistants: dict[str, Assistant] = {}
+        self.engines: dict[str, Engine] = {}
         # self.tasks: set[asyncio.Task] = set()
 
-    def get_assistant(
+    def get_engine(
         self,
-        assistant_id: str,
-    ) -> Assistant | None:
-        if assistant_id in self.assistants:
-            return self.assistants[assistant_id]
+        engine_id: str,
+    ) -> Engine | None:
+        if engine_id in self.engines:
+            return self.engines[engine_id]
         return None
 
-    async def register_assistant(
+    async def register_engine(
         self,
-        assistant: Assistant,
+        engine: Engine,
         event_mapper: SkillEventMapperProtocol,
-    ) -> Assistant:
+    ) -> Engine:
         """
         Define the skill assistant that you want to have backing this assistant
         service. You can configure the assistant instructions and which skills
         to include here.
         """
 
-        logger.debug("Registering assistant.", extra_data({"assistant_id": assistant.assistant_id}))
+        logger.debug("Registering assistant.", extra_data({"assistant_id": engine.engine_id}))
 
         # Assistant event consumer.
         async def subscribe() -> None:
             """Event consumer for the assistant."""
             logger.debug(
                 "Assistant event subscription started in the assistant registry.",
-                extra_data({"assistant_id": assistant.assistant_id}),
+                extra_data({"assistant_id": engine.engine_id}),
             )
-            async for skill_event in assistant.events:
+            async for skill_event in engine.events:
                 logger.debug(
                     "Assistant event received in assistant registry subscription.", extra_data({"event": skill_event})
                 )
@@ -56,14 +56,14 @@ async def subscribe() -> None:
                     logger.exception("Exception in skill assistant event handling")
 
             # Hang out here until the assistant is stopped.
-            await assistant.wait()
+            await engine.wait()
             logger.debug(
                 "Assistant event subscription stopped in the assistant registry.",
-                extra_data({"assistant_id": assistant.assistant_id}),
+                extra_data({"assistant_id": engine.engine_id}),
             )
 
         # Register the assistant.
-        self.assistants[assistant.assistant_id] = assistant
+        self.engines[engine.engine_id] = engine
 
         # Start an event consumer task and save a reference.
         # task = asyncio.create_task(subscribe())
@@ -73,4 +73,4 @@ async def subscribe() -> None:
         # self.tasks.add(task)
         # task.add_done_callback(self.tasks.remove)
 
-        return assistant
+        return engine
diff --git a/assistants/skill-assistant/pyproject.toml b/assistants/skill-assistant/pyproject.toml
index 2ed6c679..b6cbb830 100644
--- a/assistants/skill-assistant/pyproject.toml
+++ b/assistants/skill-assistant/pyproject.toml
@@ -10,22 +10,18 @@ dependencies = [
     "azure-core[aio]>=1.30.0",
     "azure-identity>=1.16.0",
     "content-safety>=0.1.0",
-    "common-skill>=0.1.0",
-    # "document-skill>=0.1.0",
-    "form-filler-skill>=0.1.0",
-    "guided-conversation-skill>=0.1.0",
     "openai-client>=0.1.0",
     "openai>=1.61.0",
-    "posix-skill>=0.1.0",
     "semantic-workbench-assistant>=0.1.0",
     "bs4>=0.0.2",
+    "skill-library>=0.1.0",
 ]
 
 [dependency-groups]
 dev = [
-    # "pytest>=8.3.1",
-    # "pytest-asyncio>=0.23.8",
-    # "pytest-repeat>=0.9.3",
+    "pytest>=8.3.1",
+    "pytest-asyncio>=0.23.8",
+    "pytest-repeat>=0.9.3",
     "ipykernel>=6.29.4",
     "pyright>=1.1.389",
 ]
@@ -34,13 +30,9 @@ dev = [
 package = true
 
 [tool.uv.sources]
+skill-library = { path = "../../libraries/python/skills/skill-library", editable = true }
 content-safety = { path = "../../libraries/python/content-safety", editable = true }
-# document-skill = { path = "../../libraries/python/skills/skills/document-skill", editable = true }
-common-skill = { path = "../../libraries/python/skills/skills/common-skill", editable = true }
-form-filler-skill = { path = "../../libraries/python/skills/skills/form-filler-skill", editable = true }
-guided-conversation-skill = { path = "../../libraries/python/skills/skills/guided-conversation-skill", editable = true }
 openai-client = { path = "../../libraries/python/openai-client", editable = true }
-posix-skill = { path = "../../libraries/python/skills/skills/posix-skill", editable = true }
 semantic-workbench-assistant = { path = "../../libraries/python/semantic-workbench-assistant", editable = true }
 
 [build-system]
diff --git a/libraries/python/skills/skills/common-skill/tests/test_setup.py b/assistants/skill-assistant/tests/test_setup.py
similarity index 50%
rename from libraries/python/skills/skills/common-skill/tests/test_setup.py
rename to assistants/skill-assistant/tests/test_setup.py
index 1bf716aa..4fc590d2 100644
--- a/libraries/python/skills/skills/common-skill/tests/test_setup.py
+++ b/assistants/skill-assistant/tests/test_setup.py
@@ -1,2 +1,2 @@
 def test_setup():
-    assert 1 == 1
+    assert True
diff --git a/assistants/skill-assistant/uv.lock b/assistants/skill-assistant/uv.lock
index 9720a152..8c453319 100644
--- a/assistants/skill-assistant/uv.lock
+++ b/assistants/skill-assistant/uv.lock
@@ -190,20 +190,20 @@ dependencies = [
     { name = "azure-core", extra = ["aio"] },
     { name = "azure-identity" },
     { name = "bs4" },
-    { name = "common-skill" },
     { name = "content-safety" },
-    { name = "form-filler-skill" },
-    { name = "guided-conversation-skill" },
     { name = "openai" },
     { name = "openai-client" },
-    { name = "posix-skill" },
     { name = "semantic-workbench-assistant" },
+    { name = "skill-library" },
 ]
 
 [package.dev-dependencies]
 dev = [
     { name = "ipykernel" },
     { name = "pyright" },
+    { name = "pytest" },
+    { name = "pytest-asyncio" },
+    { name = "pytest-repeat" },
 ]
 
 [package.metadata]
@@ -212,20 +212,20 @@ requires-dist = [
     { name = "azure-core", extras = ["aio"], specifier = ">=1.30.0" },
     { name = "azure-identity", specifier = ">=1.16.0" },
     { name = "bs4", specifier = ">=0.0.2" },
-    { name = "common-skill", editable = "../../libraries/python/skills/skills/common-skill" },
     { name = "content-safety", editable = "../../libraries/python/content-safety" },
-    { name = "form-filler-skill", editable = "../../libraries/python/skills/skills/form-filler-skill" },
-    { name = "guided-conversation-skill", editable = "../../libraries/python/skills/skills/guided-conversation-skill" },
     { name = "openai", specifier = ">=1.61.0" },
     { name = "openai-client", editable = "../../libraries/python/openai-client" },
-    { name = "posix-skill", editable = "../../libraries/python/skills/skills/posix-skill" },
     { name = "semantic-workbench-assistant", editable = "../../libraries/python/semantic-workbench-assistant" },
+    { name = "skill-library", editable = "../../libraries/python/skills/skill-library" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
     { name = "ipykernel", specifier = ">=6.29.4" },
     { name = "pyright", specifier = ">=1.1.389" },
+    { name = "pytest", specifier = ">=8.3.1" },
+    { name = "pytest-asyncio", specifier = ">=0.23.8" },
+    { name = "pytest-repeat", specifier = ">=0.9.3" },
 ]
 
 [[package]]
@@ -233,14 +233,12 @@ name = "assistant-drive"
 version = "0.1.0"
 source = { editable = "../../libraries/python/assistant-drive" }
 dependencies = [
-    { name = "context" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "context", editable = "../../libraries/python/context" },
     { name = "pydantic", specifier = ">=2.6.1" },
     { name = "pydantic-settings", specifier = ">=2.5.2" },
 ]
@@ -508,7 +506,7 @@ name = "click"
 version = "8.1.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/96/d3/f04c7bfcf5c1862a2a5b845c6b2b360488cf47af55dfa79c98f6a6bf98b5/click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de", size = 336121 }
 wheels = [
@@ -536,38 +534,6 @@ wheels = [
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@@ -2215,7 +2037,6 @@ source = { editable = "../../libraries/python/skills/skill-library" }
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     { name = "assistant-extensions", extra = ["attachments"] },
-    { name = "context" },
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     { name = "openai" },
     { name = "openai-client" },
@@ -2231,7 +2052,6 @@ dependencies = [
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     { name = "assistant-drive", editable = "../../libraries/python/assistant-drive" },
     { name = "assistant-extensions", extras = ["attachments"], editable = "../../libraries/python/assistant-extensions" },
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@@ -2348,7 +2168,7 @@ name = "tqdm"
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 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
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diff --git a/examples/python/python-02-simple-chatbot/uv.lock b/examples/python/python-02-simple-chatbot/uv.lock
index 5b147d00..acf1ead3 100644
--- a/examples/python/python-02-simple-chatbot/uv.lock
+++ b/examples/python/python-02-simple-chatbot/uv.lock
@@ -202,14 +202,12 @@ name = "assistant-drive"
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 version = "8.1.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
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@@ -469,25 +467,6 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [{ name = "pyright", specifier = ">=1.1.389" }]
 
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-version = "0.1.0"
-source = { editable = "../../../libraries/python/context" }
-dependencies = [
-    { name = "events" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "events", editable = "../../../libraries/python/events" }]
-
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-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "cryptography"
 version = "43.0.1"
@@ -1068,7 +1047,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
@@ -1536,7 +1515,7 @@ name = "tqdm"
 version = "4.66.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/58/83/6ba9844a41128c62e810fddddd72473201f3eacde02046066142a2d96cc5/tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad", size = 169504 }
 wheels = [
diff --git a/examples/python/python-03-multimodel-chatbot/uv.lock b/examples/python/python-03-multimodel-chatbot/uv.lock
index c5115ab0..bbd97943 100644
--- a/examples/python/python-03-multimodel-chatbot/uv.lock
+++ b/examples/python/python-03-multimodel-chatbot/uv.lock
@@ -206,14 +206,12 @@ name = "assistant-drive"
 version = "0.1.0"
 source = { editable = "../../../libraries/python/assistant-drive" }
 dependencies = [
-    { name = "context" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "context", editable = "../../../libraries/python/context" },
     { name = "pydantic", specifier = ">=2.6.1" },
     { name = "pydantic-settings", specifier = ">=2.5.2" },
 ]
@@ -442,7 +440,7 @@ name = "click"
 version = "8.1.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/96/d3/f04c7bfcf5c1862a2a5b845c6b2b360488cf47af55dfa79c98f6a6bf98b5/click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de", size = 336121 }
 wheels = [
@@ -482,25 +480,6 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [{ name = "pyright", specifier = ">=1.1.389" }]
 
-[[package]]
-name = "context"
-version = "0.1.0"
-source = { editable = "../../../libraries/python/context" }
-dependencies = [
-    { name = "events" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "events", editable = "../../../libraries/python/events" }]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.389" },
-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "cryptography"
 version = "43.0.1"
@@ -1252,7 +1231,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
@@ -1788,7 +1767,7 @@ name = "tqdm"
 version = "4.66.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/58/83/6ba9844a41128c62e810fddddd72473201f3eacde02046066142a2d96cc5/tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad", size = 169504 }
 wheels = [
diff --git a/libraries/python/anthropic-client/uv.lock b/libraries/python/anthropic-client/uv.lock
index 6400804f..04d3e27c 100644
--- a/libraries/python/anthropic-client/uv.lock
+++ b/libraries/python/anthropic-client/uv.lock
@@ -177,14 +177,12 @@ name = "assistant-drive"
 version = "0.1.0"
 source = { editable = "../assistant-drive" }
 dependencies = [
-    { name = "context" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "context", editable = "../context" },
     { name = "pydantic", specifier = ">=2.6.1" },
     { name = "pydantic-settings", specifier = ">=2.5.2" },
 ]
@@ -419,7 +417,7 @@ name = "click"
 version = "8.1.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/96/d3/f04c7bfcf5c1862a2a5b845c6b2b360488cf47af55dfa79c98f6a6bf98b5/click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de", size = 336121 }
 wheels = [
@@ -435,25 +433,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335 },
 ]
 
-[[package]]
-name = "context"
-version = "0.1.0"
-source = { editable = "../context" }
-dependencies = [
-    { name = "events" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "events", editable = "../events" }]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.389" },
-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "cryptography"
 version = "44.0.0"
@@ -1115,7 +1094,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
@@ -1664,7 +1643,7 @@ name = "tqdm"
 version = "4.67.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737 }
 wheels = [
diff --git a/libraries/python/assistant-drive/assistant_drive/tests/test_basic.py b/libraries/python/assistant-drive/assistant_drive/tests/test_basic.py
index 06c36552..e04b3f10 100644
--- a/libraries/python/assistant-drive/assistant_drive/tests/test_basic.py
+++ b/libraries/python/assistant-drive/assistant_drive/tests/test_basic.py
@@ -3,8 +3,6 @@
 import pytest
 from assistant_drive import Drive
 from assistant_drive.drive import DriveConfig, IfDriveFileExistsBehavior
-
-# from context import Context
 from pydantic import BaseModel
 
 file_content = BytesIO(b"Hello, World!")  # Convert byte string to BytesIO
diff --git a/libraries/python/assistant-drive/pyproject.toml b/libraries/python/assistant-drive/pyproject.toml
index 8730512a..66582ed4 100644
--- a/libraries/python/assistant-drive/pyproject.toml
+++ b/libraries/python/assistant-drive/pyproject.toml
@@ -6,7 +6,6 @@ authors = [{ name = "Semantic Workbench Team" }]
 readme = "README.md"
 requires-python = ">=3.11"
 dependencies = [
-    "context>=0.1.0",
     "pydantic>=2.6.1",
     "pydantic-settings>=2.5.2",
     # "python-magic>=0.4.27",
@@ -23,7 +22,6 @@ dev = [
 ]
 
 [tool.uv.sources]
-context = { path = "../../python/context", editable = true }
 # python-magic = { git = "https://github.com/julian-r/python-magic.git#egg=python-magic" }
 
 [build-system]
diff --git a/libraries/python/assistant-drive/uv.lock b/libraries/python/assistant-drive/uv.lock
index 5bb1baa0..dbe0c97e 100644
--- a/libraries/python/assistant-drive/uv.lock
+++ b/libraries/python/assistant-drive/uv.lock
@@ -28,7 +28,6 @@ name = "assistant-drive"
 version = "0.1.0"
 source = { editable = "." }
 dependencies = [
-    { name = "context" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
 ]
@@ -44,7 +43,6 @@ dev = [
 
 [package.metadata]
 requires-dist = [
-    { name = "context", editable = "../context" },
     { name = "pydantic", specifier = ">=2.6.1" },
     { name = "pydantic-settings", specifier = ">=2.5.2" },
 ]
@@ -136,25 +134,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/e6/75/49e5bfe642f71f272236b5b2d2691cf915a7283cc0ceda56357b61daa538/comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3", size = 7180 },
 ]
 
-[[package]]
-name = "context"
-version = "0.1.0"
-source = { editable = "../context" }
-dependencies = [
-    { name = "events" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "events", editable = "../events" }]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.389" },
-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "debugpy"
 version = "1.8.6"
@@ -181,20 +160,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d5/50/83c593b07763e1161326b3b8c6686f0f4b0f24d5526546bee538c89837d6/decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186", size = 9073 },
 ]
 
-[[package]]
-name = "events"
-version = "0.1.0"
-source = { editable = "../events" }
-dependencies = [
-    { name = "pydantic" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "pydantic", specifier = ">=2.6.1" }]
-
-[package.metadata.requires-dev]
-dev = [{ name = "pyright", specifier = ">=1.1.389" }]
-
 [[package]]
 name = "executing"
 version = "2.1.0"
diff --git a/libraries/python/assistant-extensions/uv.lock b/libraries/python/assistant-extensions/uv.lock
index 3caf0e61..3a3dae24 100644
--- a/libraries/python/assistant-extensions/uv.lock
+++ b/libraries/python/assistant-extensions/uv.lock
@@ -174,14 +174,12 @@ name = "assistant-drive"
 version = "0.1.0"
 source = { editable = "../assistant-drive" }
 dependencies = [
-    { name = "context" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "context", editable = "../context" },
     { name = "pydantic", specifier = ">=2.6.1" },
     { name = "pydantic-settings", specifier = ">=2.5.2" },
 ]
@@ -423,7 +421,7 @@ name = "click"
 version = "8.1.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/96/d3/f04c7bfcf5c1862a2a5b845c6b2b360488cf47af55dfa79c98f6a6bf98b5/click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de", size = 336121 }
 wheels = [
@@ -439,25 +437,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335 },
 ]
 
-[[package]]
-name = "context"
-version = "0.1.0"
-source = { editable = "../context" }
-dependencies = [
-    { name = "events" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "events", editable = "../events" }]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.389" },
-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "cryptography"
 version = "43.0.1"
@@ -1109,7 +1088,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
@@ -1664,7 +1643,7 @@ name = "tqdm"
 version = "4.66.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/58/83/6ba9844a41128c62e810fddddd72473201f3eacde02046066142a2d96cc5/tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad", size = 169504 }
 wheels = [
diff --git a/libraries/python/context/.vscode/settings.json b/libraries/python/context/.vscode/settings.json
deleted file mode 100644
index 07fc0f87..00000000
--- a/libraries/python/context/.vscode/settings.json
+++ /dev/null
@@ -1,66 +0,0 @@
-{
-  "editor.bracketPairColorization.enabled": true,
-  "editor.codeActionsOnSave": {
-    "source.fixAll": "always",
-    "source.organizeImports": "always"
-  },
-  "editor.defaultFormatter": "esbenp.prettier-vscode",
-  "editor.formatOnPaste": true,
-  "editor.formatOnSave": true,
-  "editor.formatOnType": true,
-  "editor.guides.bracketPairs": "active",
-  "files.eol": "\n",
-  "files.trimTrailingWhitespace": true,
-  "flake8.ignorePatterns": ["**/*.py"], // disable flake8 in favor of ruff
-  "jupyter.debugJustMyCode": false,
-  "python.analysis.autoFormatStrings": true,
-  "python.analysis.autoImportCompletions": true,
-  "python.analysis.diagnosticMode": "workspace",
-  "python.analysis.fixAll": ["source.unusedImports"],
-  "python.analysis.inlayHints.functionReturnTypes": true,
-  "python.analysis.typeCheckingMode": "standard",
-  "python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python",
-  "python.testing.cwd": "${workspaceFolder}",
-  "python.testing.pytestArgs": ["--color", "yes"],
-  "python.testing.pytestEnabled": true,
-  "search.exclude": {
-    "**/.venv": true,
-    "**/data": true
-  },
-  "[json]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[jsonc]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[python]": {
-    "editor.defaultFormatter": "charliermarsh.ruff",
-    "editor.formatOnSave": true,
-    "editor.codeActionsOnSave": {
-      "source.fixAll": "explicit",
-      "source.unusedImports": "explicit",
-      "source.organizeImports": "explicit",
-      "source.formatDocument": "explicit"
-    }
-  },
-  "ruff.nativeServer": "on",
-  // For use with optional extension: "streetsidesoftware.code-spell-checker"
-  "cSpell.ignorePaths": [
-    ".venv",
-    "node_modules",
-    "package-lock.json",
-    "settings.json",
-    "uv.lock"
-  ],
-  "cSpell.words": [
-    "dotenv",
-    "httpx",
-    "openai",
-    "pydantic",
-    "pypdf",
-    "runtimes",
-    "tiktoken"
-  ]
-}
diff --git a/libraries/python/context/Makefile b/libraries/python/context/Makefile
deleted file mode 100644
index 1ad4520a..00000000
--- a/libraries/python/context/Makefile
+++ /dev/null
@@ -1,2 +0,0 @@
-repo_root = $(shell git rev-parse --show-toplevel)
-include $(repo_root)/tools/makefiles/python.mk
diff --git a/libraries/python/context/README.md b/libraries/python/context/README.md
deleted file mode 100644
index f5e6580a..00000000
--- a/libraries/python/context/README.md
+++ /dev/null
@@ -1,16 +0,0 @@
-# Context
-
-This library is shared among several different Make:Exploration projects including:
-
-- [Skill Library](../skills/skill-library/README.md)
-
-The [Context](./context/context.py) class in this library is designed to be
-instantiated once and passed to all relevant parts of a system.
-
-This is especially helpful in:
-
-- Setting the **session id** for all parts of the system (allowing them all to
-  share state in external state stores).
-- Passing an `emit` function that all the parts can use for consistent event
-  emitting. You can see an example of this in either of the projects listed
-  above.
diff --git a/libraries/python/context/context/__init__.py b/libraries/python/context/context/__init__.py
deleted file mode 100644
index abafde04..00000000
--- a/libraries/python/context/context/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from .context import Context, ContextProtocol
-
-__all__ = ["Context", "ContextProtocol"]
diff --git a/libraries/python/context/context/context.py b/libraries/python/context/context/context.py
deleted file mode 100644
index 3bde2d04..00000000
--- a/libraries/python/context/context/context.py
+++ /dev/null
@@ -1,69 +0,0 @@
-import logging
-from typing import Any, Callable, Optional, Protocol, runtime_checkable
-from uuid import uuid4
-
-from events.events import EventProtocol
-
-
-@runtime_checkable
-class ContextProtocol(Protocol):
-    """A protocol for the context object that is passed to all components
-    (functions, action, routines, etc.). The context object is used to pass
-    information between these components, such as the session_id and
-    run_id. The context object also carries the function used by actions and
-    routines to emit events."""
-
-    # A session id is useful for maintaining consistent session state across all
-    # consumers of this context. For example, a session id can be set in an
-    # assistant and all functions called by that assistant can should receive
-    # this same context object to know which session is being used.
-    session_id: str
-
-    # A "run" is a particular series of calls within a session. The initial call will
-    # set the run id and all subsequent calls will use the same run id. This is useful
-    # for logging, metrics, and debugging.
-    run_id: Optional[str]
-
-    # The emit function is used to send events to the event bus. The component
-    # that creates this context object will be responsible for instantiating an
-    # event bus and handling the events sent to it with this function.
-    emit: Callable[[EventProtocol], None]
-
-
-class LogEmitter:
-    """A simple event emitter that logs the event to the console. This will be
-    what is used unless a different emitter is provided."""
-
-    def emit(self, event: EventProtocol) -> None:
-        logging.info(event.to_json())
-
-
-class Context(ContextProtocol):
-    """A default context object that implements the ContextProtocol. The context
-    object that is passed to all components (functions, action, routines, etc.).
-    The context object is used to pass information between these components,
-    such as the session_id and run_id. The context object also carries the
-    function used by actions and routines to emit events."""
-
-    def __init__(
-        self,
-        session_id: str | None = None,
-        run_id: str | None = None,
-        emit: Optional[Callable[[EventProtocol], None]] = None,
-    ) -> None:
-        self.session_id = session_id or str(uuid4())
-        self.run_id = run_id
-        self.emit = emit or LogEmitter().emit
-
-    def to_dict(self) -> dict[str, Any]:
-        return {
-            "session_id": self.session_id,
-            "run_id": self.run_id,
-            "emit": self.emit.__class__.__name__,
-        }
-
-    def __repr__(self) -> str:
-        return f"Context({self.session_id})"
-
-    def __str__(self) -> str:
-        return f"Context({self.session_id})"
diff --git a/libraries/python/context/context/tests/test_context.py b/libraries/python/context/context/tests/test_context.py
deleted file mode 100644
index 54ec7770..00000000
--- a/libraries/python/context/context/tests/test_context.py
+++ /dev/null
@@ -1,118 +0,0 @@
-from context.context import Context, ContextProtocol, LogEmitter
-
-
-def test_context_creation():
-    # Create a context object
-    context = Context()
-
-    # Check that the context object was created
-    assert context.session_id is not None
-    assert context.run_id is None
-    assert context.emit is not None
-
-
-def test_context_type():
-    # Create a context object
-    context = Context()
-
-    # Check that the context object has the correct type
-    assert isinstance(context, ContextProtocol)
-
-
-def test_context_methods():
-    # Create a context object
-    context = Context()
-
-    # Check that the context object has the correct methods
-    assert hasattr(context, "to_dict")
-    assert hasattr(context, "__repr__")
-    assert hasattr(context, "__str__")
-
-
-def test_context_attributes():
-    # Create a context object
-    context = Context()
-
-    # Check that the context object has the correct attributes
-    assert hasattr(context, "session_id")
-    assert hasattr(context, "run_id")
-    assert hasattr(context, "emit")
-
-
-def test_context_callable_methods():
-    # Create a context object
-    context = Context()
-
-    # Check that the context object has callable methods
-    assert callable(context.to_dict)
-    assert callable(context.__repr__)
-    assert callable(context.__str__)
-
-
-def test_context_attribute_types():
-    # Create a context object
-    context = Context()
-
-    # Check that the context object has the correct attribute types
-    assert isinstance(context.session_id, str)
-    assert isinstance(context.run_id, str) or context.run_id is None
-    assert callable(context.emit)
-
-
-def test_context_to_dict():
-    # Create a context object
-    context = Context()
-
-    # Check that the to_dict method returns the correct dictionary
-    assert context.to_dict() == {
-        "session_id": context.session_id,
-        "run_id": context.run_id,
-        "emit": context.emit.__class__.__name__,
-    }
-
-
-def test_context_repr_str():
-    # Create a context object
-    context = Context()
-
-    # Check that the __repr__ and __str__ methods return the correct strings
-    assert context.__repr__() == f"Context({context.session_id})"
-    assert context.__str__() == f"Context({context.session_id})"
-
-
-def test_log_emitter_creation():
-    # Create a log emitter object
-    log_emitter = LogEmitter()
-
-    # Check that the log emitter object was created
-    assert log_emitter is not None
-
-
-def test_log_emitter_type():
-    # Create a log emitter object
-    log_emitter = LogEmitter()
-
-    # Check that the log emitter object has the correct type
-    assert isinstance(log_emitter, LogEmitter)
-
-
-def test_log_emitter_methods():
-    # Create a log emitter object
-    log_emitter = LogEmitter()
-
-    # Check that the log emitter object has the correct methods
-    assert hasattr(log_emitter, "emit")
-    assert callable(log_emitter.emit)
-
-
-def test_context_with_log_emitter():
-    # Create a log emitter object
-    log_emitter = LogEmitter()
-
-    # Create a context object with a log emitter
-    context = Context(emit=log_emitter.emit)
-
-    # Check that the context object was created
-    assert context.session_id is not None
-    assert context.run_id is None
-    assert context.emit is not None
diff --git a/libraries/python/context/pyproject.toml b/libraries/python/context/pyproject.toml
deleted file mode 100644
index 94d6db12..00000000
--- a/libraries/python/context/pyproject.toml
+++ /dev/null
@@ -1,34 +0,0 @@
-[project]
-name = "context"
-version = "0.1.0"
-description = "MADE:Exploration Context"
-authors = [{name="MADE:Explorers"}]
-readme = "README.md"
-requires-python = ">=3.11"
-dependencies = [
-    "events>=0.1.0",
-]
-
-[dependency-groups]
-dev = [
-    "pyright>=1.1.389",
-    "pytest>=8.3.1",
-    "pytest-asyncio>=0.23.8",
-    "pytest-repeat>=0.9.3",
-]
-
-[tool.uv.sources]
-events = { path = "../events", editable = true }
-
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
-
-[tool.pytest.ini_options]
-addopts = "-vv"
-log_cli = true
-log_cli_level = "WARNING"
-log_cli_format = "%(asctime)s | %(levelname)-7s | %(name)s | %(message)s"
-testpaths = ["tests"]
-asyncio_mode = "auto"
-asyncio_default_fixture_loop_scope = "function"
diff --git a/libraries/python/context/pytest.ini b/libraries/python/context/pytest.ini
deleted file mode 100644
index 02bae23f..00000000
--- a/libraries/python/context/pytest.ini
+++ /dev/null
@@ -1,13 +0,0 @@
-# pytest.ini
-[pytest]
-minversion = 6.0
-addopts = -vv -rP
-pythonpath = .
-testpaths = **/tests
-filterwarnings =
-    ignore::DeprecationWarning
-    ignore::PendingDeprecationWarning
-asyncio_mode = auto
-log_cli = true
-log_cli_level = INFO
-log_cli_format = %(asctime)s | %(levelname)-7s | %(name)s | %(message)s
diff --git a/libraries/python/context/uv.lock b/libraries/python/context/uv.lock
deleted file mode 100644
index 8fcbe1cc..00000000
--- a/libraries/python/context/uv.lock
+++ /dev/null
@@ -1,223 +0,0 @@
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diff --git a/libraries/python/skills/notebooks/notebooks/chat_driver.ipynb b/libraries/python/openai-client/openai_client/chat_driver/chat_driver.ipynb
similarity index 99%
rename from libraries/python/skills/notebooks/notebooks/chat_driver.ipynb
rename to libraries/python/openai-client/openai_client/chat_driver/chat_driver.ipynb
index 4890e130..b9bb1d34 100644
--- a/libraries/python/skills/notebooks/notebooks/chat_driver.ipynb
+++ b/libraries/python/openai-client/openai_client/chat_driver/chat_driver.ipynb
@@ -442,7 +442,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -457,7 +457,6 @@
     }
    ],
    "source": [
-    "from context import Context\n",
     "from pydantic import BaseModel\n",
     "from typing import cast\n",
     "from openai_client.errors import CompletionError, validate_completion\n",
@@ -468,7 +467,6 @@
     "    thoughts: str\n",
     "    answer: str\n",
     "\n",
-    "context = Context(\"conversation-id-1002\")\n",
     "metadata = {}\n",
     "completion_args = {\n",
     "    \"model\": model,\n",
@@ -1008,7 +1006,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -1030,7 +1028,6 @@
    ],
    "source": [
     "from openai_client.chat_driver import ChatDriverConfig, ChatDriver\n",
-    "from context import Context\n",
     "from openai_client.tools import ToolFunction, ToolFunctions\n",
     "\n",
     "\n",
@@ -1103,22 +1100,18 @@
     "from io import BytesIO\n",
     "from typing import Any, BinaryIO\n",
     "from openai_client.chat_driver import ChatDriverConfig, ChatDriver, ChatDriverConfig\n",
-    "from context import Context\n",
     "from assistant_drive import Drive, DriveConfig, IfDriveFileExistsBehavior \n",
     "\n",
-    "def get_drive_from_context(context):\n",
-    "    return Drive(DriveConfig(root=f\".data/drive/{context.session_id}\"))\n",
+    "drive = Drive(DriveConfig(root=f\".data/drive/{context.session_id}\"))\n",
     "\n",
     "def write_file_contents(file_path: str, contents: str) -> str:\n",
     "    \"\"\"Writes the contents to a file.\"\"\"\n",
-    "    drive = get_drive_from_context(context)\n",
     "    content_bytes: BinaryIO = BytesIO(contents.encode(\"utf-8\"))\n",
     "    drive.write(content_bytes, file_path, if_exists=IfDriveFileExistsBehavior.OVERWRITE)\n",
     "    return f\"{file_path} updated.\"\n",
     "\n",
     "def read_file_contents(file_path: str) -> str:\n",
     "    \"\"\"Returns the contents of a file.\"\"\"\n",
-    "    drive = get_drive_from_context(context)\n",
     "    with drive.open_file(file_path) as file:\n",
     "        return file.read().decode(\"utf-8\")\n",
     "\n",
diff --git a/libraries/python/openai-client/openai_client/tools.py b/libraries/python/openai-client/openai_client/tools.py
index 1ba01a9d..64a59e43 100644
--- a/libraries/python/openai-client/openai_client/tools.py
+++ b/libraries/python/openai-client/openai_client/tools.py
@@ -293,9 +293,8 @@ async def execute_function_string(self, function_string: str, string_response: b
         if string_response:
             return to_string(result)
 
-    def parse_function_string(self, function_string: str) -> tuple[ToolFunction | None, list[Any], dict[str, Any]]:
-        """Parse a function call string into a function and its arguments."""
-
+    @staticmethod
+    def parse_fn_string(function_string: str) -> tuple[str | None, list[Any], dict[str, Any]]:
         # As a convenience, remove any leading slashes.
         function_string = function_string.lstrip("/")
 
@@ -351,6 +350,15 @@ def eval_node(node):
         for kw in call_node.keywords:
             kwargs[kw.arg] = eval_node(kw.value)
 
+        return function_name, args, kwargs
+
+    def parse_function_string(self, function_string: str) -> tuple[ToolFunction | None, list[Any], dict[str, Any]]:
+        """Parse a function call string into a function and its arguments."""
+
+        function_name, args, kwargs = ToolFunctions.parse_fn_string(function_string)
+        if not function_name:
+            return None, [], {}
+
         function = self.get_function(function_name)
         if not function:
             return None, [], {}
diff --git a/libraries/python/openai-client/uv.lock b/libraries/python/openai-client/uv.lock
index 1beb6233..40555c9f 100644
--- a/libraries/python/openai-client/uv.lock
+++ b/libraries/python/openai-client/uv.lock
@@ -172,14 +172,12 @@ name = "assistant-drive"
 version = "0.1.0"
 source = { editable = "../assistant-drive" }
 dependencies = [
-    { name = "context" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "context", editable = "../context" },
     { name = "pydantic", specifier = ">=2.6.1" },
     { name = "pydantic-settings", specifier = ">=2.5.2" },
 ]
@@ -408,7 +406,7 @@ name = "click"
 version = "8.1.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 }
 wheels = [
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 ]
 
-[[package]]
-name = "context"
-version = "0.1.0"
-source = { editable = "../context" }
-dependencies = [
-    { name = "events" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "events", editable = "../events" }]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.389" },
-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "cryptography"
 version = "44.0.0"
@@ -1112,7 +1091,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
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@@ -1675,7 +1654,7 @@ name = "tqdm"
 version = "4.67.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737 }
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diff --git a/libraries/python/skills/notebooks/.env.example b/libraries/python/skills/notebooks/.env.example
deleted file mode 100644
index 8f408f02..00000000
--- a/libraries/python/skills/notebooks/.env.example
+++ /dev/null
@@ -1,8 +0,0 @@
-# NOTE:
-# - Environment variables in the host environment will take precedence over values in this file.
-# - When running with VS Code, you must 'stop' and 'start' the process for changes to take effect.
-#   It is not enough to just use the VS Code 'restart' button
-
-AZURE_OPENAI_ENDPOINT="https://lightspeed-team-shared-openai-eastus.openai.azure.com/"
-AZURE_OPENAI_DEPLOYMENT="gpt-4o-mini"
-AZURE_OPENAI_API_VERSION="2023-05-15"
diff --git a/libraries/python/skills/notebooks/.gitignore b/libraries/python/skills/notebooks/.gitignore
deleted file mode 100644
index 07117cc8..00000000
--- a/libraries/python/skills/notebooks/.gitignore
+++ /dev/null
@@ -1,3 +0,0 @@
-.data
-.venv/*
-!**/.gitkeep
diff --git a/libraries/python/skills/notebooks/.vscode/extensions.json b/libraries/python/skills/notebooks/.vscode/extensions.json
deleted file mode 100644
index d08fe04f..00000000
--- a/libraries/python/skills/notebooks/.vscode/extensions.json
+++ /dev/null
@@ -1,10 +0,0 @@
-{
-  "recommendations": [
-    "aarontamasfe.even-better-toml",
-    "charliermarsh.ruff",
-    "epivision.vscode-file-header",
-    "esbenp.prettier-vscode",
-    "ms-python.python",
-    "ms-toolsai.datawrangler"
-  ]
-}
diff --git a/libraries/python/skills/notebooks/.vscode/settings.json b/libraries/python/skills/notebooks/.vscode/settings.json
deleted file mode 100644
index 1f0a4e52..00000000
--- a/libraries/python/skills/notebooks/.vscode/settings.json
+++ /dev/null
@@ -1,70 +0,0 @@
-{
-  "editor.bracketPairColorization.enabled": true,
-  "editor.codeActionsOnSave": {
-    "source.fixAll": "always",
-    "source.organizeImports": "always"
-  },
-  "editor.defaultFormatter": "esbenp.prettier-vscode",
-  "editor.formatOnPaste": true,
-  "editor.formatOnSave": true,
-  "editor.formatOnType": true,
-  "editor.guides.bracketPairs": "active",
-  "files.eol": "\n",
-  "files.trimTrailingWhitespace": true,
-  "flake8.ignorePatterns": ["**/*.py"], // disable flake8 in favor of ruff
-  "jupyter.debugJustMyCode": false,
-  "python.analysis.autoImportCompletions": true,
-  "python.analysis.diagnosticMode": "workspace",
-  "python.analysis.fixAll": ["source.unusedImports"],
-  "python.analysis.inlayHints.functionReturnTypes": true,
-  "python.analysis.typeCheckingMode": "standard",
-  "python.defaultInterpreterPath": "${workspaceFolder}/.venv",
-  "python.testing.cwd": "${workspaceFolder}",
-  "python.testing.pytestArgs": ["--color", "yes"],
-  "python.testing.pytestEnabled": false,
-  "search.exclude": {
-    "**/.venv": true,
-    "**/.data": true
-  },
-  "[json]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[jsonc]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[python]": {
-    "editor.defaultFormatter": "charliermarsh.ruff",
-    "editor.formatOnSave": true,
-    "editor.codeActionsOnSave": {
-      "source.fixAll": "explicit",
-      "source.unusedImports": "explicit",
-      "source.organizeImports": "explicit",
-      "source.formatDocument": "explicit"
-    }
-  },
-  "notebook.defaultFormatter": "charliermarsh.ruff",
-  "ruff.nativeServer": "on",
-  // For use with optional extension: "streetsidesoftware.code-spell-checker"
-  "cSpell.ignorePaths": [
-    ".venv",
-    "node_modules",
-    "package-lock.json",
-    "settings.json",
-    "uv.lock"
-  ],
-  "cSpell.words": [
-    "agentic",
-    "connectionpool",
-    "dotenv",
-    "httpcore",
-    "levelname",
-    "OCCD",
-    "openai",
-    "posix",
-    "productized",
-    "pydantic",
-    "tiktoken"
-  ]
-}
diff --git a/libraries/python/skills/notebooks/Makefile b/libraries/python/skills/notebooks/Makefile
deleted file mode 100644
index 1ad4520a..00000000
--- a/libraries/python/skills/notebooks/Makefile
+++ /dev/null
@@ -1,2 +0,0 @@
-repo_root = $(shell git rev-parse --show-toplevel)
-include $(repo_root)/tools/makefiles/python.mk
diff --git a/libraries/python/skills/notebooks/README.md b/libraries/python/skills/notebooks/README.md
deleted file mode 100644
index 3120b323..00000000
--- a/libraries/python/skills/notebooks/README.md
+++ /dev/null
@@ -1,36 +0,0 @@
-# MADE: Exploration Skill notebooks
-
-These are Jupyter notebooks for investigating the functionality of the skill
-library.
-
-## Environment setup
-
-- Install Python 3.11.
-- Install [uv](https://docs.astral.sh/uv/getting-started/installation/).
-- For simplicity, all of these notebooks share the same python/uv
-  environment, which is managed locally and managed by uv. From the notebook
-  directory, run `uv sync` to install all python dependencies listed in
-  [./pyproject.toml](pyproject.toml) into the [.\.venv](.venv) folder.
-- Open this directory as a workspace in VS Code. e.g.,
-  `code .\users\papayne\workspaces\notebooks.code-workspace` from the repo root.
-
-## Using a notebook
-
-Just open any `*.ipynb` file (a notebook file) and start exploring via VSCode's
-built-in Jupyter Notebook viewers.
-
-### Select the right python (uv) environment
-
-If you get python dependency errors in the notebook code, make sure you have the
-correct python environment activated. A
-[./pyproject.toml](pyproject.toml) is provided that lists all the dependencies.
-You can install them however you like to manage your dependencies, but here is
-what I do:
-
-- Ctrl-Shift-P > Python:Select Interpreter, select the Notebooks workspace,
-  select "Use Python from 'python.defaultInterpreterPath' setting .\.venv".
-- Now in your notebook, make sure you select the same python environment from
-  the top-right dropdown.
-- A cell is at the top of these notebook that will print out the current python
-  environment. Make sure it is the local notebooks environment and you should be
-  good to go!
diff --git a/libraries/python/skills/notebooks/notebooks/skills.ipynb b/libraries/python/skills/notebooks/notebooks/skills.ipynb
deleted file mode 100644
index 84e0d740..00000000
--- a/libraries/python/skills/notebooks/notebooks/skills.ipynb
+++ /dev/null
@@ -1,408 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Skills\n",
-    "\n",
-    "Making \"recipes\" happen."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Notebook setup\n",
-    "\n",
-    "Run this cell to set the notebook up. Other sections can be run independently."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%reload_ext autoreload\n",
-    "%autoreload 2\n",
-    "\n",
-    "import os\n",
-    "from dotenv import load_dotenv\n",
-    "from azure.identity import aio, DefaultAzureCredential, get_bearer_token_provider, AzureCliCredential\n",
-    "\n",
-    "from openai import AsyncAzureOpenAI, AzureOpenAI\n",
-    "\n",
-    "import logging \n",
-    "import json\n",
-    "from pathlib import Path\n",
-    "\n",
-    "# Set up structured logging to a file.\n",
-    "class JsonFormatter(logging.Formatter):\n",
-    "    def format(self, record) -> str:\n",
-    "        record_dict = record.__dict__\n",
-    "        log_record = {\n",
-    "            'timestamp': self.formatTime(record, self.datefmt),\n",
-    "            'level': record.levelname,\n",
-    "            'session_id': record_dict.get('session_id', None),\n",
-    "            'run_id': record_dict.get('run_id', None),\n",
-    "            'message': record.getMessage(),\n",
-    "            'data': record_dict.get('data', None),\n",
-    "            'module': record.module,\n",
-    "            'funcName': record.funcName,\n",
-    "            'lineNumber': record.lineno,\n",
-    "            'logger': record.name,\n",
-    "        }\n",
-    "        extra_fields = {\n",
-    "            key: value for key, value in record.__dict__.items() \n",
-    "            if key not in ['levelname', 'msg', 'args', 'exc_info', 'funcName', 'module', 'lineno', 'name', 'message', 'asctime', 'session_id', 'run_id', 'data']\n",
-    "        }\n",
-    "        log_record.update(extra_fields)\n",
-    "        return json.dumps(log_record)\n",
-    "\n",
-    "logger = logging.getLogger()\n",
-    "logger.setLevel(logging.DEBUG)\n",
-    "modules = ['httpcore.connection', 'httpcore.http11', 'httpcore.sync.connection', 'httpx', 'openai', 'urllib3.connectionpool', 'urllib3.util.retry']\n",
-    "for module in modules:\n",
-    "    logging.getLogger(module).setLevel(logging.ERROR)\n",
-    "if logger.hasHandlers():\n",
-    "    logger.handlers.clear()\n",
-    "data_dir = Path('.data')\n",
-    "if not data_dir.exists():\n",
-    "    data_dir.mkdir()\n",
-    "handler = logging.FileHandler(data_dir / 'logs.jsonl')\n",
-    "handler.setFormatter(JsonFormatter())\n",
-    "logger.addHandler(handler)\n",
-    "\n",
-    "# Load the environment variables\n",
-    "load_dotenv()\n",
-    "credential = DefaultAzureCredential()\n",
-    "\n",
-    "azure_openai_config = {\n",
-    "    \"azure_endpoint\": os.environ.get(\"AZURE_OPENAI_ENDPOINT\", \"\"),\n",
-    "    \"azure_deployment\": os.environ.get(\"AZURE_OPENAI_DEPLOYMENT\", \"\"),\n",
-    "    \"api_version\": os.environ.get(\"AZURE_OPENAI_API_VERSION\", \"\"),\n",
-    "    \"max_retries\": 2,\n",
-    "}\n",
-    "\n",
-    "model = azure_openai_config.get(\"azure_deployment\", \"gpt-4o\")\n",
-    "\n",
-    "async_client = AsyncAzureOpenAI(\n",
-    "    **azure_openai_config,\n",
-    "    azure_ad_token_provider=aio.get_bearer_token_provider(\n",
-    "        aio.AzureCliCredential(),\n",
-    "        \"https://cognitiveservices.azure.com/.default\",\n",
-    "    ),\n",
-    ")\n",
-    "\n",
-    "client = AzureOpenAI(\n",
-    "    **azure_openai_config,\n",
-    "    azure_ad_token_provider=get_bearer_token_provider(\n",
-    "        AzureCliCredential(),\n",
-    "        \"https://cognitiveservices.azure.com/.default\",\n",
-    "    ),\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## A skill"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The Assistants API (and the GPTs that are built with it) need more capabilities than just a few plugins. What we actually want to do is be able to introduce new capabilities not as \"tools\" but as \"skills\". A skill is like a tool in that it allows the agent to use various functions for generating chats, but also, we want the agent to be able to run multi-step routines and for skills to be able to interact with one another.\n",
-    "\n",
-    "Specifically, a `Skill` provides:\n",
-    "\n",
-    "- A nice way to package up a set of capabilities we can provide to an assistant.\n",
-    "- A set of actions that can be made available directly to the assistant (functions) and to the user (commands).\n",
-    "- A set of routines that can be executed by an assistant, potentially in cooperation with the user.\n",
-    "\n",
-    "Here is a \"Posix\" skill that is able to interact with the filesystem in a posix-style way."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['chat_driver', 'logs.jsonl', 'test.txt']\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "User: /help\n",
-      "Posix skill: Commands:\n",
-      "cd(directory: str): Change the current working directory.\n",
-      "help(): Return this help message.\n",
-      "ls(path: str = \".\"): List directory contents.\n",
-      "mkdir(dirname: str): Create a new directory.\n",
-      "mv(src: str, dest: str): Move a file or directory.\n",
-      "pwd(): Return the current directory.\n",
-      "read_file(filename: str): Read the contents of a file.\n",
-      "rm(path: str): Remove a file or directory.\n",
-      "run_command(command: str): Run a shell command in the current directory.\n",
-      "touch(filename: str): Create an empty file.\n",
-      "write_file(filename: str, content: str): Write content to a file.\n"
-     ]
-    }
-   ],
-   "source": [
-    "from pathlib import Path\n",
-    "from posix_skill import PosixSkill\n",
-    "from openai_client.chat_driver import ChatDriverConfig\n",
-    "from context import Context\n",
-    "\n",
-    "context = Context(\"skills-123.posix\")\n",
-    "\n",
-    "# Define the posix skill.\n",
-    "chat_driver_config = ChatDriverConfig(\n",
-    "    openai_client=async_client,\n",
-    "    model=model,\n",
-    "    instructions=\"You are an assistant that has access to a sand-boxed Posix shell.\",\n",
-    ")\n",
-    "\n",
-    "posix_skill = PosixSkill(\n",
-    "    sandbox_dir=Path(\".data\"),\n",
-    "    chat_driver_config=chat_driver_config,\n",
-    "    mount_dir=\"/mnt/data\",\n",
-    ")\n",
-    "\n",
-    "# Registered actions can be called directly from the skill.\n",
-    "await posix_skill.actions.touch(\"test.txt\")\n",
-    "print(await posix_skill.actions.ls(\"\"))\n",
-    "\n",
-    "# Note: Look in the .data directory for the output from these actions!\n",
-    "\n",
-    "# Chat with the skill.\n",
-    "while True:\n",
-    "    message = input(\"User: \")\n",
-    "    if message == \"\":\n",
-    "        break\n",
-    "    print(f\"User: {message}\", flush=True)\n",
-    "    response = await posix_skill.respond(message)\n",
-    "    print(f\"Posix skill: {response.message}\", flush=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## An assistant\n",
-    "\n",
-    "Finally, we have all the building blocks to create a more capable assistant from skills. Our `assistant` library allows you to register skills to an assistant enabling the assistant to perform actions and routines. Here is how simple it is to add our posix skill to an assistant."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "User: Hi!\n",
-      "Assistant: MessageEvent: Hello! How can I assist you today?\n",
-      "User: /help\n",
-      "Assistant: MessageEvent: Commands:\n",
-      "help(): Return this help message.\n",
-      "list_routines(): Lists all the routines available in the assistant.\n",
-      "run_routine(name: str, vars: dict[str, typing.Any] | None): Run an assistant routine.\n"
-     ]
-    }
-   ],
-   "source": [
-    "from pathlib import Path\n",
-    "from skill_library import Assistant\n",
-    "from openai_client.chat_driver import ChatDriverConfig\n",
-    "from posix_skill import PosixSkill\n",
-    "\n",
-    "\n",
-    "# Define the assistant.\n",
-    "chat_driver_config = ChatDriverConfig(\n",
-    "    openai_client=async_client,\n",
-    "    model=model,\n",
-    "    instructions=\"You are a helpful assistant.\",\n",
-    ")\n",
-    "\n",
-    "assistant = Assistant(name=\"Alice\", assistant_id=\"posix-assistant-123\", chat_driver_config=chat_driver_config)\n",
-    "\n",
-    "# Now that the assistant has been created with a context, we can create the\n",
-    "# skills and register them with the assistant's context.\n",
-    "\n",
-    "# Define the posix skill. This skill will be used by the assistant. Note that\n",
-    "# some skills may have a conversational interface using a chat driver.\n",
-    "posix_skill = PosixSkill(\n",
-    "    sandbox_dir=Path(\".data\"),\n",
-    "    mount_dir=\"/mnt/data\",\n",
-    "    chat_driver_config=ChatDriverConfig(\n",
-    "        openai_client=async_client,\n",
-    "        model=model,\n",
-    "    ),\n",
-    ")\n",
-    "\n",
-    "# Register the skill with the assistant.\n",
-    "assistant.register_skills([posix_skill])\n",
-    "\n",
-    "# Chat with the assistant.\n",
-    "while True:\n",
-    "    message = input(\"User: \")\n",
-    "    if message == \"\":\n",
-    "        break\n",
-    "    print(f\"User: {message}\", flush=True)\n",
-    "    response = await assistant.generate_response(message)\n",
-    "    print(f\"Assistant: {response}\", flush=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Running a routine from a skill in an assistant (non-streaming)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from pathlib import Path\n",
-    "from skill_library import Assistant\n",
-    "from openai_client.chat_driver import ChatDriverConfig\n",
-    "from posix_skill import PosixSkill\n",
-    "\n",
-    "# Define the posix skill. This skill will be used by the assistant. Note that\n",
-    "# some skills may have a conversational interface using a chat driver.\n",
-    "\n",
-    "\n",
-    "# Define the assistant.\n",
-    "assistant = Assistant(\n",
-    "    name=\"Alice\",\n",
-    "    chat_driver_config=ChatDriverConfig(\n",
-    "        openai_client=async_client,\n",
-    "        model=model,\n",
-    "        instructions=\"You are a helpful assistant.\",\n",
-    "    ),\n",
-    "    assistant_id=\"assistant-123\",\n",
-    ")\n",
-    "\n",
-    "posix_skill = PosixSkill(\n",
-    "    sandbox_dir=Path(\".data\"),\n",
-    "    mount_dir=\"/mnt/data\",\n",
-    "    chat_driver_config=ChatDriverConfig(\n",
-    "        openai_client=async_client,\n",
-    "        model=model,\n",
-    "    ),\n",
-    ")\n",
-    "\n",
-    "assistant.register_skills([posix_skill])\n",
-    "\n",
-    "# Let's see what we can do directly against the assistant.\n",
-    "print(assistant.list_routines())\n",
-    "result = assistant.run_routine(\"posix.make_home_dir\")\n",
-    "print(result)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### An assistant with a message queue\n",
-    "\n",
-    "Our assistants also work with the idea of *events* instead of just responses. As the assistant executes actions and routines, a stream of events are generated which can be subscribed to. This makes embedding the assistant in an existing agentic framework easier. For example, we can wrap this assistant in the Semantic Workbench, or in Teams."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Apply the nest_asyncio patch to allow asyncio calls handling in this Jupyter\n",
-    "# notebook cell.\n",
-    "import asyncio\n",
-    "import nest_asyncio\n",
-    "from pathlib import Path\n",
-    "from skill_library import Assistant\n",
-    "from openai_client.chat_driver import ChatDriverConfig\n",
-    "from posix_skill import PosixSkill\n",
-    "nest_asyncio.apply()\n",
-    "\n",
-    "# Define the assistant.\n",
-    "chat_driver_config = ChatDriverConfig(\n",
-    "    openai_client=async_client, model=model, instructions=\"You are a helpful assistant.\"\n",
-    ")\n",
-    "assistant = Assistant(name=\"Alice\", chat_driver_config=chat_driver_config, assistant_id=\"assistant-123\")\n",
-    "\n",
-    "# Define the posix skill.\n",
-    "posix_skill = PosixSkill(\n",
-    "    sandbox_dir=Path(\".data\"),\n",
-    "    mount_dir=\"/mnt/data\",\n",
-    "    chat_driver_config=ChatDriverConfig(\n",
-    "        openai_client=async_client,\n",
-    "        model=model,\n",
-    "    ),\n",
-    ")\n",
-    "\n",
-    "# Register the skill with the assistant.\n",
-    "assistant.register_skills([posix_skill])\n",
-    "\n",
-    "\n",
-    "# Function that allows user input in a non-blocking manner.\n",
-    "async def user_input_handler() -> None:\n",
-    "    while True:\n",
-    "        user_input = await asyncio.to_thread(input, \"User: \")\n",
-    "        if user_input == \"\":\n",
-    "            assistant.stop()\n",
-    "            break\n",
-    "        print(f\"User: {user_input}\", flush=True)\n",
-    "        await assistant.put_message(user_input)\n",
-    "\n",
-    "\n",
-    "# Start the user input in a non-blocking way.\n",
-    "input_task = asyncio.create_task(user_input_handler())\n",
-    "\n",
-    "# Start the assistant.\n",
-    "async for event in assistant.events:\n",
-    "    print(f\"Assistant: {event.message}\", flush=True)  # type: ignore\n",
-    "\n",
-    "await assistant.wait()\n",
-    "await input_task"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": ".venv",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/libraries/python/skills/notebooks/pyproject.toml b/libraries/python/skills/notebooks/pyproject.toml
deleted file mode 100644
index cba0e024..00000000
--- a/libraries/python/skills/notebooks/pyproject.toml
+++ /dev/null
@@ -1,32 +0,0 @@
-[project]
-name = "skill-notebooks"
-version = "0.1.0"
-authors = [{name="Paul Payne", email="<papayne@microsoft.com>"}]
-readme = "README.md"
-requires-python = ">=3.11"
-dependencies = [
-    "assistant-drive>=0.1.0",
-    "azure-identity>=1.17.1",
-    "context>=0.1.0",
-    "events>=0.1.0",
-    "nest-asyncio>=1.6.0",
-    "openai>=1.16.1",
-    "openai-client>=0.1.0",
-    "posix-skill>=0.1.0",
-    "python-dotenv>=1.0.1",
-    "skill-library>=0.1.0",
-]
-
-[dependency-groups]
-dev = [
-    "ipykernel>=6.29.4",
-    "pyright>=1.1.389",
-]
-
-[tool.uv.sources]
-assistant-drive = { path = "../../assistant-drive", editable = true }
-context = { path = "../../context", editable = true }
-events = { path = "../../events", editable = true }
-openai-client = { path = "../../openai-client", editable = true }
-posix-skill = { path = "../skills/posix-skill", editable = true }
-skill-library = { path = "../skill-library/", editable = true }
diff --git a/libraries/python/skills/notebooks/uv.lock b/libraries/python/skills/notebooks/uv.lock
deleted file mode 100644
index f921b8e9..00000000
--- a/libraries/python/skills/notebooks/uv.lock
+++ /dev/null
@@ -1,2266 +0,0 @@
-version = 1
-requires-python = ">=3.11"
-resolution-markers = [
-    "python_full_version < '3.13'",
-    "python_full_version >= '3.13'",
-]
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diff --git a/libraries/python/skills/skill-library/README.md b/libraries/python/skills/skill-library/README.md
index 519b806a..002ced89 100644
--- a/libraries/python/skills/skill-library/README.md
+++ b/libraries/python/skills/skill-library/README.md
@@ -27,7 +27,7 @@ To create a skill, a developer writes the skills actions and routines and puts
 them in a [`Skill`](./skill_library/skill.py) class along with a
 `SkillDefinition` used to configure the skill.
 
-When a skill is registered to an assistant, a user will be able to see the
+When a skill engine is registered to an assistant, a user will be able to see the
 skill's actions by running the message command `/list_actions` and routines with
 `/list_routines`.
 
@@ -52,113 +52,21 @@ interactions. A routine and its routine runner is kindof like a recipe (routine)
 for a chef (routine runner). The routine contains the instructions and the
 runner is responsible for following those instructions.
 
-We are experimenting with different ways to write routines. In this way,
-routines are something like "Domain Specific Languages" (DSLs). Routine runners
-need to be able to understand the "language" a routine is written in which is
-why routine types and routine runners come in pairs.
+### Skill Engine
 
-Currently we provide three functional routine/routine runner implementations:
-
-- [Instruction routine](./skill_library/routine/instruction_routine.py)
-  ([Instruction routine runner](./skill_library/routine_runners/instruction_routine_runner.py)).
-
-  Instruction routines contain a list of messages (natural language) to be sent
-  to a skill's natural language endpoint (its chat driver). This was a
-  first-attempt at writing routines and has limited value because it (currently)
-  can only talk to the chat endpoint of the skill that contains this routine...
-  and it can only run actions that are registered to the skill's chat driver.
-  We're keeping this around only as an example, and in case it might be useful
-  for something in the future.
-
-- [Action List routine](./skill_library/routine/action_list_routine.py)
-  ([Action List routine runner](./skill_library/routine_runners/action_list_routine_runner.py))
-
-  Action List routines allow you to specify a list of actions (across all registered skills) for the assistant to take.  The results of previously-run actions can be used as arguments in actions allowing for the chaining of input/outputs.
-
-- [State Machine routine](./skill_library/routine/state_machine_routine.py)
-  ([State Machine routine runner](./skill_library/routine_runners/state_machine_routine_runner.py))
-
-  State machine routines are very simple and defined solely by two functions:
-  `init` and `step`. When a state machine routine is started, its `init` method
-  is run. Then every message sent to the assistant will be routed to the the
-  `step` method until the method indicates the routine is done. This is a
-  technique used many developers when hard-coding advanced agent
-  capabilities--changing some behind-the-scenes state in some way based on the
-  messages received and juggling that state until an objective is achieved. It's
-  not simple to reason through, and it can be difficult to code, but it works
-  great. The [Guided Conversation skill
-  routine](../skills/guided-conversation-skill/guided_conversation_skill/guided_conversation_skill.py)
-  is a good example of this technique.
-
-- [Program routine](./skill_library/routine/program_routine.py) ([Program
-  routine
-  runner](./skill_library/routine_runners/program/program_routine_runner.py))
-
-  Write a routine in a subset of Python. Works now, but in development... will
-  add more local function support, error handling, more assistant actions, etc.
-
-- (Future) Recipes (natural language routines)
-
-  We aim to create a type of routine that can be specified in more ordinary,
-  everyday language, like a recipe for a chef. The recipe routine runner, then,
-  will use LLMs to run these routines. We have a few ideas of how to implement
-  this, perhaps translating the routine into a more specific type, or executing
-  each step with a series of LLM calls (e.g., for intent, planning, and
-  adaptation). Stay tuned.
-
-### Skill Registry
-
-By design, routines can execute any action provided in any skill, not just their
-own. This allows for composing and nesting multiple skills. Because of this, it
-is not possible to simply instantiate a skill and run a routine within it.
-Routines can only be run from a [Skill
-Registry](./skill_library/skill_registry.py) that has all dependent skills
-registered to it.
-
-
-When you run a skill routine, the skill registry will manage the entire lifecycle of
-that run for you.
-
-See: [skill_registry.py](./skill_library/skill_registry.py)
-
-### Run Context
-
-Through a `RunContext`, action functions have access to the useful utilities and
-the current scope/context of the assistant and skill they are running within.
-This allows the action developer to have access to the assistant state and be
-able to run actions and routines from other skills, emit messages through the
-assistant, etc.
-
-See: [run_context.py](./skill_library/run_context.py)
-
-### Assistant
-
-The `Assistant` is the object that gets instantiated with all the running
-skills. The assistant contains an "assistant drive" that can be scoped to a
-specific persistence location to keep all the state of the assistant in one
-spot. The assistant also handles the event handling for all registered skills.
-Once an assistant is started you can call (or subscribe to) its `events`
+The `Engine` is the object that gets instantiated with all the running
+skills. The engine contains an "assistant drive" that can be scoped to a
+specific persistence location to keep all the state of the engine in one
+spot. The engine also handles the event handling for all registered skills.
+Once an engine is started you can call (or subscribe to) its `events`
 endpoint to get a list of generated events.
 
-See: [assistant.py](./skill_library/assistant.py), [Assistant Drive](../../assistant-drive/README.md)
-
-#### Chat Driver
-
-The Assistant's chat driver is the place to configure your assistant's natural
-language interface.
-
-You, as the assistant developer, can decide on the personality of your assistant
-(setting the chat driver instructions), which commands you want to be able to
-run as you are interacting with the assistant, and which tool functions you want
-your assistant to be able to call on your behalf. These commands and tool
-functions can include any of your assistant's skill's actions or routines.
-
-See: [Chat Driver](../../openai-client/openai_client/chat_driver/README.md)
+See: [engine.py](./skill_library/engine.py), [Assistant Drive](../../assistant-drive/README.md)
 
 ### Semantic Workbench integration
 
-This Assistant class can be easily wrapped inside our Semantic Workbench
-assistant allowing it to be exposed as an assistant in the workbench. See our
+This Engine class can be easily wrapped inside our Semantic Workbench
+assistant. See our
 [Semantic Workbench Skill
 Assistant](../../../../assistants/skill-assistant/README.md)
 package that does exactly this.
@@ -168,7 +76,6 @@ routing events to and from the Workbench.
 
 See: [Skill Assistant](../../../../assistants/skill-assistant/README.md)
 
-
 ## State
 
 The skill library provides multiple powerful ways to manage state in an assistant.
@@ -176,7 +83,7 @@ The skill library provides multiple powerful ways to manage state in an assistan
 ### Drives
 
 We use the [Assistant Drive](../../assistant-drive/README.md) package to provide
-simple disk storage to components in the skill library. Each assistant is given
+simple disk storage to components in the skill library. Each engine is given
 a drive (the "assistant drive") that should be "sub-drived" by all skills to use
 as storage. This keeps all of the data together in one spot, making it easier to
 copy/backup/clone/fork assistants.
@@ -215,3 +122,45 @@ The only thing to keep in mind is that when the resource block is exited,
 everything in the state object will be serialized to disk, so make sure the
 values you are assigning are serializable.
 
+## User scenario
+
+Let me walk through the expected flow:
+
+1. The initial `/run_routine` command hits `on_command_message_created` in skill_assistant.py
+   - It parses the command and calls ChatFunctions.run_routine
+   - This calls engine.run_routine with "common.web_research" and the parameters
+   - Engine creates a task to run the routine and returns a future
+   - ChatFunctions awaits this future
+
+2. The routine starts executing:
+   - Makes a research plan using common.generate_research_plan
+   - Writes it to a file
+   - Then hits the first `ask_user` call with "Does this plan look ok?"
+   - This creates a MessageEvent with that prompt
+   - The routine pauses, waiting for input via the input_future
+
+3. When the user sends their response (like "Yes, looks good"):
+   - That message hits `on_message_created` in skill_assistant.py
+   - It checks `is_routine_running()` which should return true because we have a current_routine
+   - It calls `resume_routine` with the user's message
+   - This sets the result on the input_future
+   - The routine continues executing from where it was paused at ask_user
+
+4. This cycle repeats for any other ask_user calls in the routine:
+   - Routine pauses at ask_user
+   - User responds
+   - Message gets routed to resume_routine
+   - Routine continues
+
+5. Finally when the routine completes:
+   - It sets its final result on the result_future
+   - Cleans up (current_routine = None)
+   - The original run_routine future completes
+
+The key points are:
+
+1. While a routine is running, ALL messages should be routed to resume_routine
+2. The routine's state (current_routine) needs to persist between messages
+3. The futures mechanism lets us pause/resume the routine while keeping it "alive"
+
+Looking at this flow, I suspect our issue might be that we're not properly maintaining the routine's state between messages. Let's verify the routine is still considered "running" when we get the user's response.
diff --git a/libraries/python/skills/skill-library/pyproject.toml b/libraries/python/skills/skill-library/pyproject.toml
index 9aee5821..2b5e80d3 100644
--- a/libraries/python/skills/skill-library/pyproject.toml
+++ b/libraries/python/skills/skill-library/pyproject.toml
@@ -8,7 +8,6 @@ requires-python = ">=3.11"
 dependencies = [
     "assistant-drive>=0.1.0",
     "assistant-extensions[attachments]>=0.1.0",
-    "context>=0.1.0",
     "events>=0.1.0",
     "openai-client>=0.1.0",
     "openai>=1.16.1",
@@ -31,7 +30,6 @@ dev = [
 [tool.uv.sources]
 assistant-drive = { path = "../../assistant-drive", editable = true }
 assistant-extensions = { path = "../../assistant-extensions", editable = true }
-context = { path = "../../context", editable = true }
 events = { path = "../../events", editable = true }
 openai-client = { path = "../../openai-client", editable = true }
 
@@ -48,3 +46,4 @@ log_cli_format = "%(asctime)s | %(levelname)-7s | %(name)s | %(message)s"
 testpaths = ["tests"]
 asyncio_mode = "auto"
 asyncio_default_fixture_loop_scope = "function"
+norecursedirs = ["skill_library/skills/guided_conversation"]
\ No newline at end of file
diff --git a/libraries/python/skills/skill-library/skill_library/__init__.py b/libraries/python/skills/skill-library/skill_library/__init__.py
index d157cebe..a9732cff 100644
--- a/libraries/python/skills/skill-library/skill_library/__init__.py
+++ b/libraries/python/skills/skill-library/skill_library/__init__.py
@@ -1,25 +1,33 @@
-from context import Context
+# skill_library/__init__.py
 
-from .actions import ActionCallable
-from .assistant import Assistant
 from .chat_driver_helpers import ChatDriverFunctions
-from .routine import ActionListRoutine, InstructionRoutine, ProgramRoutine, RoutineTypes, StateMachineRoutine
-from .run_context import RunContext, RunContextProvider
-from .skill import EmitterType, Skill, SkillDefinition
+from .engine import Engine
+from .skill import Skill, SkillConfig, SkillProtocol
+from .types import (
+    ActionFn,
+    AskUserFn,
+    EmitFn,
+    LanguageModel,
+    Metadata,
+    RunContext,
+    RunContextProvider,
+    RunRoutineFn,
+)
+from .usage import get_routine_usage
 
 __all__ = [
-    "ActionCallable",
-    "ActionListRoutine",
-    "Assistant",
+    "ActionFn",
+    "AskUserFn",
     "ChatDriverFunctions",
-    "Context",
-    "EmitterType",
-    "StateMachineRoutine",
-    "InstructionRoutine",
-    "ProgramRoutine",
-    "RoutineTypes",
+    "EmitFn",
+    "Engine",
+    "get_routine_usage",
+    "LanguageModel",
+    "Metadata",
+    "RunRoutineFn",
     "RunContext",
     "RunContextProvider",
     "Skill",
-    "SkillDefinition",
+    "SkillConfig",
+    "SkillProtocol",
 ]
diff --git a/libraries/python/skills/skill-library/skill_library/actions.py b/libraries/python/skills/skill-library/skill_library/actions.py
deleted file mode 100644
index fca1b776..00000000
--- a/libraries/python/skills/skill-library/skill_library/actions.py
+++ /dev/null
@@ -1,205 +0,0 @@
-import inspect
-from dataclasses import dataclass
-from typing import Any, Protocol
-
-from .run_context import RunContext, RunContextProvider
-from .utilities import parse_command_string
-
-
-class ActionCallable(Protocol):
-    def __call__(self, run_context: RunContext, *args: Any, **kwargs: Any) -> Any: ...
-
-    __name__: str
-
-
-@dataclass
-class Parameter:
-    """
-    Tool functions are described by their parameters. This dataclass
-    describes a single parameter of a tool function.
-    """
-
-    name: str
-    type: Any
-    description: str | None
-    default_value: Any | None = None
-
-    def __str__(self) -> str:
-        param_type = self.type
-        try:
-            param_type = self.type.__name__
-        except AttributeError:
-            param_type = self.type
-        usage = f"{self.name}: {param_type}"
-        if self.default_value is not inspect.Parameter.empty:
-            if isinstance(self.default_value, str):
-                usage += f' = "{self.default_value}"'
-            else:
-                usage += f" = {self.default_value}"
-        return usage
-
-
-@dataclass
-class Usage:
-    """
-    A usage string for this function. This can be used in help messages.
-    """
-
-    name: str
-    parameters: list[Parameter]
-    description: str
-
-    def __str__(self) -> str:
-        param_usage = ", ".join(str(param) for param in self.parameters)
-        return f"{self.name}({param_usage}): {self.description}"
-
-
-class Action:
-    """
-    An action is a Python function that can be called as part of a skill. This
-    class wraps a function and provides metadata about it. It also provides a
-    way to execute the action with a RunContext.
-    """
-
-    def __init__(self, fn: ActionCallable, name: str | None = None, description: str | None = None) -> None:
-        self.fn = fn
-        self.name = name or fn.__name__
-        self.description = description or inspect.getdoc(fn) or self.name.replace("_", " ").title()
-
-    def parameters(self, exclude: list[str] = []) -> list[Parameter]:
-        """
-        This function's parameters and their default values.
-        """
-        parameters = dict(inspect.signature(self.fn).parameters)
-        for param_name in exclude:
-            if param_name in parameters:
-                del parameters[param_name]
-        return [
-            Parameter(
-                name=param_name,
-                type=param.annotation,
-                description=None,  # param.annotation.description,
-                default_value=param.default,
-            )
-            for param_name, param in parameters.items()
-        ]
-
-    def usage(self) -> Usage:
-        """
-        A usage string for this function. This can be used in help messages.
-        """
-        return Usage(name=self.name, parameters=self.parameters(exclude=["run_context"]), description=self.description)
-
-    async def execute(self, run_context: RunContext, *args: Any, **kwargs: Any) -> Any:
-        """
-        Run this action, and return its value. If the function is a coroutine,
-        it will be awaited.
-        """
-        result = self.fn(run_context, *args, **kwargs)
-        if inspect.iscoroutine(result):
-            result = await result
-        return result
-
-
-class ActionHandler:
-    def __init__(self, actions: "Actions") -> None:
-        self.actions = actions
-
-    def __getattr__(self, name: str) -> ActionCallable:
-        """Makes registered functions accessible as attributes of the Actions object."""
-        if name not in self.actions.action_map:
-            raise AttributeError(f"No action named '{name}'")
-
-        async def wrapper(*args, **kwargs) -> Any:
-            return await self.actions.run_action_by_name(name, args, kwargs)
-
-        return wrapper
-
-
-class Actions:
-    """
-    A set of a skill's actions.
-    """
-
-    def __init__(
-        self, run_context_provider: RunContextProvider, actions: list[Action] | None = None, with_help: bool = False
-    ) -> None:
-        # Set up function map.
-        self.action_map: dict[str, Action] = {}
-        if actions:
-            for action in actions:
-                self.action_map[action.name] = action
-
-        self.run_context_provider = run_context_provider
-
-        # A help message can be generated for the function map.
-        if with_help:
-            self.action_map["help"] = Action(self.help)
-
-        # This allows actions to be called as attributes.
-        self.functions = ActionHandler(self)
-
-    def help(self, run_context: RunContext) -> str:
-        """Return a help message."""
-
-        usage = [f"{action.usage()}" for action in self.action_map.values()]
-        usage.sort()
-        return "Actions:\n" + "\n".join(usage)
-
-    def add_function(self, function: ActionCallable, name: str | None = None, description: str | None = None) -> None:
-        """Register a function as an action."""
-        if not name:
-            name = function.__name__
-        self.action_map[name] = Action(function, name, description)
-
-    def add_functions(self, functions: list[ActionCallable]) -> None:
-        """Register a list of functions as actions."""
-        for function in functions:
-            self.add_function(function)
-
-    def has_action(self, name: str) -> bool:
-        return name in self.action_map
-
-    def get_action(self, name: str) -> Action | None:
-        return self.action_map.get(name)
-
-    def get_actions(self) -> list[Action]:
-        return list(self.action_map.values())
-
-    async def run_action_by_name(
-        self,
-        name: str,
-        args: tuple = (),
-        kwargs: dict[str, Any] = {},
-    ) -> Any:
-        """
-        Run an action by name.
-        """
-        action = self.get_action(name)
-        if not action:
-            raise ValueError(f"Function {name} not found in registry.")
-
-        run_context = self.run_context_provider.create_run_context()
-        return await action.execute(run_context, *args, **kwargs)
-
-    async def run_action_string(self, action_string: str) -> Any:
-        """Parse an action string and execute the action. Used in running routines."""
-        # TODO: If used in routines, need to handle skill namespacing (designations).
-        action, args, kwargs = self.parse_action_string(action_string)
-        if not action:
-            raise ValueError("Action not found in registry.")
-        run_context = self.run_context_provider.create_run_context()
-        return await action.execute(run_context, *args, **kwargs)
-
-    def parse_action_string(self, action_string: str) -> tuple[Action | None, list[Any], dict[str, Any]]:
-        """Parse an action string into an action and its arguments."""
-
-        # TODO: If used in routines, need to handle skill namespacing (designations).
-
-        action_name, args, kwargs = parse_command_string(action_string)
-
-        action = self.get_action(action_name)
-        if not action:
-            return None, [], {}
-
-        return action, list(args), kwargs
diff --git a/libraries/python/skills/skill-library/skill_library/assistant.py b/libraries/python/skills/skill-library/skill_library/assistant.py
deleted file mode 100644
index de08047e..00000000
--- a/libraries/python/skills/skill-library/skill_library/assistant.py
+++ /dev/null
@@ -1,367 +0,0 @@
-import asyncio
-from os import PathLike
-from typing import Any, AsyncIterator, Awaitable, Callable, Optional
-from uuid import uuid4
-
-from assistant_drive import Drive, DriveConfig, IfDriveFileExistsBehavior
-from events import BaseEvent, EventProtocol
-from openai.types.chat.completion_create_params import (
-    ResponseFormat,
-)
-from openai_client.chat_driver import (
-    ChatDriver,
-    ChatDriverConfig,
-    LocalMessageHistoryProvider,
-    LocalMessageHistoryProviderConfig,
-)
-from openai_client.completion import TEXT_RESPONSE_FORMAT
-from openai_client.messages import format_with_liquid
-from semantic_workbench_api_model.workbench_model import ConversationMessageList
-
-from skill_library.routine_stack import RoutineStack
-
-from .logging import extra_data, logger
-from .run_context import RunContext
-from .skill import SkillDefinition
-from .skill_registry import SkillRegistry
-from .types import Metadata
-
-
-class Assistant:
-    def __init__(
-        self,
-        name,
-        assistant_id: str | None,
-        chat_driver_config: ChatDriverConfig,
-        message_history_provider: Callable[[], Awaitable[ConversationMessageList]],
-        drive_root: PathLike | None = None,
-        metadata_drive_root: PathLike | None = None,
-        skills: list[SkillDefinition] | None = None,
-        startup_action: str | None = None,
-        startup_routine: str | None = None,
-        startup_args: tuple = (),
-        startup_kwargs: dict[str, Any] = {},
-    ) -> None:
-        # Do we ever use this? No. We don't. It just seems like it would be a
-        # good idea, though.
-        self.name = name
-
-        # This, though, we use.
-        self.assistant_id = assistant_id or str(uuid4())
-
-        # A metadrive to be used for managing assistant metadata. This can be
-        # useful for storing session data, logs, and other information that
-        # needs to be persisted across different calls to the assistant. This is
-        # not data intended to be accessed by users or skills.
-        self.metadrive = Drive(
-            DriveConfig(
-                root=metadata_drive_root or f".data/{assistant_id}/.assistant",
-                default_if_exists_behavior=IfDriveFileExistsBehavior.OVERWRITE,
-            )
-        )
-
-        # The routine stack is used to keep track of the current routine being
-        # run by the assistant.
-        self.routine_stack = RoutineStack(self.metadrive)
-
-        # Register all skills for the assistant.
-        self.skill_registry = SkillRegistry(skills, self, self.routine_stack) if skills else None
-
-        # Set up the assistant event queue.
-        self._event_queue = asyncio.Queue()  # Async queue for events
-        self._stopped = asyncio.Event()  # Event to signal when the assistant has stopped
-
-        # The assistant drive is used as the storage bucket for all assistant
-        # and skill data. Skills will generally create a subdrive off of this
-        # drive.
-        self.drive = Drive(
-            DriveConfig(
-                root=drive_root or f".data/{assistant_id}/assistant",
-                default_if_exists_behavior=IfDriveFileExistsBehavior.OVERWRITE,
-            )
-        )
-
-        self.message_history_provider = message_history_provider
-
-        # Configure the assistant chat interface.
-        self.chat_driver = self._register_chat_driver(chat_driver_config)
-
-        self.startup_action = startup_action
-        self.startup_routine = startup_routine
-        self.startup_args = startup_args
-        self.startup_kwargs = startup_kwargs
-
-    async def clear(self, include_drives: bool = True) -> None:
-        """Clears the assistant's routine stack and event queue."""
-        await self.routine_stack.clear()
-        while not self._event_queue.empty():
-            self._event_queue.get_nowait()
-        if include_drives:
-            self.metadrive.delete_drive()
-            self.drive.delete_drive()
-
-    ######################################
-    # Lifecycle and event handling
-    ######################################
-
-    async def start(self) -> None:
-        """Start the assistant."""
-        self._stopped.clear()
-
-        # If a startup action is provided, run it.
-        if self.startup_action:
-            await self.run_action(self.startup_action, *self.startup_args, **self.startup_kwargs)
-
-        # If a startup routine is provided, run it.
-        if self.startup_routine:
-            await self.run_routine(self.startup_routine, *self.startup_args, **self.startup_kwargs)
-
-    async def wait(self) -> str:
-        """
-        After initializing an assistant, call this method to wait for assistant
-        events. While running, any events produced by the assistant can be
-        accessed through the `events` property. When the assistant completes,
-        this method returns the assistant_id of the assistant.
-        """
-        await self._stopped.wait()
-        return self.assistant_id
-
-    def stop(self) -> None:
-        self._stopped.set()  # Signal that we are stopping
-
-    @property
-    async def events(self) -> AsyncIterator[EventProtocol]:
-        """
-        This method is a generator that yields events produced by the assistant
-        as they are emitted. The generator will continue to yield events until
-        the assistant has completed AND all events have been emitted.
-        """
-        logger.debug("Assistant started. Listening for events.")
-        while not self._stopped.is_set():
-            try:
-                # async with asyncio.timeout(1):
-                yield await self._event_queue.get()
-            except asyncio.TimeoutError:
-                continue
-        logger.debug("Assistant stopped. No more events will be emitted.")
-
-    def _emit(self, event: EventProtocol) -> None:
-        event.session_id = self.assistant_id
-        self._event_queue.put_nowait(event)
-        logger.debug(
-            "Assistant queud an event (_emit).", extra_data({"event": {"id": event.id, "message": event.message}})
-        )
-
-    def create_run_context(self) -> RunContext:
-        # The run context is passed to parts of the system (skill routines and
-        # actions, and chat driver functions) that need to be able to run
-        # routines or actions, set assistant state, or emit messages from the
-        # assistant.
-
-        return RunContext(
-            session_id=self.assistant_id,
-            assistant_drive=self.drive,
-            conversation_history=self.message_history_provider,
-            emit=self._emit,
-            run_action=self.run_action,
-            run_routine=self.run_routine,
-            routine_stack=self.routine_stack,
-        )
-
-    async def put_message(self, message: str, metadata: Optional[Metadata] = None) -> None:
-        """
-        Exposed externally for sending messages to the assistant.
-
-        If a routine is currently running, send the message to the routine.
-
-        This is a simple way to handle conversation flows. In the future, we
-        would like to keep track of multiple topics and allow the assistant to
-        switch between them. The current idea is that we might treat a topic
-        like multi-tasking on a Linux system with one topic at a time being
-        "foreground" and the others being "background". The assistant would
-        decide when to switch topics based on the content of the messages. A
-        topic might include a subset of the conversation history, only specific
-        skills, etc.
-
-        For now, though, we track only a single topic at a time. If a routine is
-        currently running, we send the message to the routine. Otherwise, we
-        send the message to the chat driver.
-        """
-        # If the message is a command, send it on to the chat driver.
-        if message.startswith("/"):
-            response = await self.chat_driver.respond(message, metadata=metadata)
-            self._emit(response)
-            return
-
-        # If a routine is running, send the message to the routine.
-        if await self.routine_stack.peek():
-            await self.step_active_routine(message)
-        else:
-            # Otherwise, send the message to the chat driver.
-            response = await self.chat_driver.respond(message, metadata=metadata)
-            self._emit(response)
-
-    ######################################
-    # Chat interface
-    ######################################
-
-    def _register_chat_driver(self, chat_driver_config: ChatDriverConfig) -> ChatDriver:
-        """Sets up a chat driver for the assistant."""
-        config = ChatDriverConfig(**dict(chat_driver_config.__dict__))
-        config.instructions = (
-            f"{config.instructions}"
-            "\n\nYou have the ability to run functions and routines.\n\n"
-            "Run a routine with the run_routine function passing it the name of the routine "
-            "and arguments."
-            "Available routines: {routines}. "
-        )
-        if config.message_provider is None:
-            config.message_provider = LocalMessageHistoryProvider(
-                LocalMessageHistoryProviderConfig(
-                    session_id=self.assistant_id,
-                    data_dir=self.metadrive.root_path / "chat_driver",
-                    formatter=format_with_liquid,
-                )
-            )
-        chat_functions = ChatFunctions(self)
-
-        # Make all the chat functions available as commands.
-        config.commands = chat_functions.list_functions()
-
-        # Make only certain functions available as chat tool functions (able to
-        # be run by the assistant).
-        config.functions = [chat_functions.list_actions, chat_functions.list_routines]
-        return ChatDriver(config)
-
-    async def generate_response(
-        self,
-        message: str,
-        response_format: ResponseFormat = TEXT_RESPONSE_FORMAT,
-        instruction_parameters: dict[str, Any] = {},
-    ) -> BaseEvent:
-        """
-        Generate a response to a user message. This method is exposed externally
-        as a simple way to interact with the assistant. Typically, though, you
-        would interact with the assistant by sending messages to it through the
-        `put_message` method and handling responses through the `events`.
-        """
-        if not self.chat_driver:
-            raise ValueError("No chat driver registered for this assistant.")
-
-        if self.skill_registry:
-            instruction_parameters["actions"] = ", ".join(self.skill_registry.list_actions())
-            instruction_parameters["routines"] = ", ".join(self.skill_registry.list_routines())
-
-        return await self.chat_driver.respond(
-            message,
-            response_format=response_format,
-            instruction_parameters=instruction_parameters,
-        )
-
-    ######################################
-    # Skill interface
-    ######################################
-
-    def list_routines(self) -> list[str]:
-        """Lists all the routines the assistant is able to perform."""
-        return self.skill_registry.list_routines() if self.skill_registry else []
-
-    async def run_routine(self, name: str, *args: Any, **kwargs: Any) -> Any:
-        """
-        Run an assistant routine by name (e.g. <skill_name>.<routine_name>).
-        """
-        if not self.skill_registry:
-            raise ValueError("No skill registry registered for this assistant.")
-        await self.skill_registry.run_routine_by_designation(self.create_run_context(), name, *args, **kwargs)
-
-    def list_actions(self) -> list[str]:
-        """Lists all the actions the assistant is able to perform."""
-        return self.skill_registry.list_actions() if self.skill_registry else []
-
-    async def run_action(self, designation: str, *args: Any, **kwargs: Any) -> Any:
-        """
-        Run an assistant action by name (e.g. <skill_name>.<action_name>).
-        """
-        if not self.skill_registry:
-            raise ValueError("No skill registry registered for this assistant.")
-        return await self.skill_registry.run_action_by_designation(
-            self.create_run_context(), designation, *args, **kwargs
-        )
-
-    async def step_active_routine(self, message: str) -> None:
-        """Run another step in the current routine."""
-        if not self.skill_registry:
-            raise ValueError("No skill registry registered for this assistant.")
-        await self.skill_registry.step_active_routine(self.create_run_context(), message)
-
-
-class ChatFunctions:
-    """
-    These functions provide usage context and output markdown. It's a layer
-    closer to the assistant.
-    """
-
-    def __init__(self, assistant: Assistant) -> None:
-        self.assistant = assistant
-
-    async def clear_stack(self) -> str:
-        """Clears the assistant's routine stack and event queue."""
-        await self.assistant.clear(include_drives=False)
-        return "Assistant stack cleared."
-
-    def list_routines(self) -> str:
-        """Lists all the routines available in the assistant."""
-        if not self.assistant.skill_registry:
-            return "No routines available."
-
-        routines = []
-        for skill_name, skill in self.assistant.skill_registry.skills.items():
-            for routine in skill.get_routines():
-                routines.append(f"- __{skill_name}.{routine.name}__: _{routine.description}_")
-
-        if not routines:
-            return "No routines available."
-
-        routine_string = "```markdown\n### Routines\n\n" + "\n".join(routines) + "\n```"
-        # self.assistant._emit(InformationEvent(message=routine_string))
-        return routine_string
-
-    async def run_routine(self, name: str, *args, **kwargs) -> Any:
-        """
-        Run an assistant routine.
-        """
-        await self.assistant.run_routine(name, *args, **kwargs)
-
-    def list_actions(self) -> str:
-        """Lists all the actions available in the assistant."""
-        if not self.assistant.skill_registry:
-            return "No actions available."
-
-        actions = []
-        for skill_name, skill in self.assistant.skill_registry.skills.items():
-            for action in skill.action_registry.get_actions():
-                usage = action.usage()
-                actions.append(
-                    f"- __{skill_name}.{usage.name}({', '.join([str(parameter) for parameter in usage.parameters])})__: _{usage.description}_"
-                )
-        if not actions:
-            return "No actions available."
-
-        action_string = "```markdown\n### Actions\n\n" + "\n".join(actions) + "\n```"
-        # self.assistant._emit(InformationEvent(message=action_string))
-        return action_string
-
-    def run_action(self, designation: str, *args, **kwargs) -> Any:
-        """
-        Run an assistant action by designation (<skill_name>.<action_name>).
-        """
-        return self.assistant.run_action(designation, *args, **kwargs)
-
-    def list_functions(self) -> list[Callable]:
-        return [
-            self.list_routines,
-            self.run_routine,
-            self.list_actions,
-            self.run_action,
-            self.clear_stack,
-        ]
diff --git a/libraries/python/skills/skill-library/skill_library/chat_driver_helpers.py b/libraries/python/skills/skill-library/skill_library/chat_driver_helpers.py
index 4d07a04f..da4aa427 100644
--- a/libraries/python/skills/skill-library/skill_library/chat_driver_helpers.py
+++ b/libraries/python/skills/skill-library/skill_library/chat_driver_helpers.py
@@ -2,8 +2,7 @@
 import inspect
 from typing import Callable
 
-from skill_library.actions import ActionCallable
-from skill_library.run_context import RunContextProvider
+from .types import ActionFn, RunContextProvider
 
 
 class ChatDriverFunctions:
@@ -21,7 +20,7 @@ class ChatDriverFunctions:
     This is helpful for maing chat driver setup in a skill simpler.
     """
 
-    def __init__(self, actions: list[ActionCallable], run_context_provider: RunContextProvider) -> None:
+    def __init__(self, actions: list[ActionFn], run_context_provider: RunContextProvider) -> None:
         self.actions = {action.__name__: action for action in actions}
         self.run_context_provider = run_context_provider
         self._generate_wrappers()
diff --git a/libraries/python/skills/skill-library/skill_library/engine.py b/libraries/python/skills/skill-library/skill_library/engine.py
new file mode 100644
index 00000000..bb5bec8a
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/engine.py
@@ -0,0 +1,316 @@
+# skill_library/engine.py
+
+import asyncio
+import traceback
+from os import PathLike
+from typing import (
+    Any,
+    AsyncIterator,
+    Awaitable,
+    Callable,
+    Type,
+)
+from uuid import uuid4
+
+from assistant_drive import Drive, DriveConfig, IfDriveFileExistsBehavior
+from events import EventProtocol, InformationEvent, MessageEvent, StatusUpdatedEvent
+from semantic_workbench_api_model.workbench_model import ConversationMessageList
+
+from .logging import extra_data, logger
+from .routine_stack import RoutineStack
+from .skill import Skill, SkillConfig
+from .types import RunContext
+
+
+class Engine:
+    """
+    Main coordination point for skills, routines and user interaction.
+
+    The Engine manages the execution of routines and actions from skills that
+    are available to the system. Skills are registered with configurations on
+    initialization. When a routine is run, the Engine:
+
+    1. Creates a task to execute the routine asynchronously
+    2. Manages user interaction by:
+        - Having routines use ask_user() to request input
+        - Handling resumption of routines when input arrives
+    3. Tracks state through:
+        - The routine stack for nested routine calls
+        - The routine stack tuple containing (result_future, input_future) for
+          the active routine
+        - State storage for routines to persist data between steps
+
+    The core interaction pattern is:
+
+    - Engine.run_routine() starts a routine that can request user input via
+      ask_user()
+    - When ask_user() is called, the routine pauses until
+      Engine.resume_routine() is called - When user input arrives,
+      resume_routine() allows the routine to continue executing
+    - This cycle repeats until the routine completes
+
+    This async interaction pattern allows routines to have natural dialogue
+    flows while keeping the overall system responsive.
+    """
+
+    def __init__(
+        self,
+        engine_id: str | None,
+        message_history_provider: Callable[[], Awaitable[ConversationMessageList]],
+        skills: list[tuple[Type[Skill], SkillConfig]] | None = None,
+        drive_root: PathLike | None = None,
+        metadata_drive_root: PathLike | None = None,
+    ) -> None:
+        # This, though, we use.
+        self.engine_id = engine_id or str(uuid4())
+
+        # A metadrive to be used for managing assistant metadata. This can be
+        # useful for storing session data, logs, and other information that
+        # needs to be persisted across different calls to the assistant. This is
+        # not data intended to be accessed by users or skills.
+        self.metadrive = Drive(
+            DriveConfig(
+                root=metadata_drive_root or f".data/{engine_id}/.assistant",
+                default_if_exists_behavior=IfDriveFileExistsBehavior.OVERWRITE,
+            )
+        )
+
+        # The routine stack is used to keep state isolated between nested
+        # routines. Each routine gets a frame on the stack that contains its
+        # state. When a routine calls another routine, the new routine gets a
+        # new frame on the stack. When the new routine completes, its frame is
+        # popped off the stack and the original routine can continue.
+        self.routine_stack = RoutineStack(self.metadrive)
+
+        # Set up the engine event queue.
+        self._event_queue = asyncio.Queue()  # Async queue for events
+        self._stopped = asyncio.Event()  # Event to signal when the engine has stopped
+
+        # The assistant drive is used as the storage bucket for all assistant
+        # and skill data. Skills will generally create a subdrive off of this
+        # drive.
+        self.drive = Drive(
+            DriveConfig(
+                root=drive_root or f".data/{engine_id}/assistant",
+                default_if_exists_behavior=IfDriveFileExistsBehavior.OVERWRITE,
+            )
+        )
+
+        self.message_history_provider = message_history_provider
+
+        # Initialize skills with their configs
+        self._skills: dict[str, Skill] = {}
+        if skills:
+            for skill_class, config in skills:
+                self._skills[config.name] = skill_class(config)
+
+        self._routine_output_futures: list[asyncio.Future] = []
+        self._current_input_future: asyncio.Future | None = None
+
+        logger.debug("Skill engine initialized.", extra_data({"engine_id": self.engine_id}))
+
+    async def clear(self, include_drives: bool = True) -> None:
+        """Clears the engine's routine stack and event queue."""
+        await self.routine_stack.clear()
+        while not self._event_queue.empty():
+            self._event_queue.get_nowait()
+        if include_drives:
+            self.metadrive.delete_drive()
+            self.drive.delete_drive()
+
+        logger.debug("Skill engine state cleared.", extra_data({"engine_id": self.engine_id}))
+
+    ######################################
+    # Lifecycle and event handling
+    ######################################
+
+    async def start(self) -> None:
+        """Start the engine."""
+        self._stopped.clear()
+
+    async def wait(self) -> str:
+        """
+        After initializing an engine, call this method to wait for engine
+        events. While running, any events produced by the engine can be
+        accessed through the `events` property. When the engine completes,
+        this method returns the engine_id of the engine.
+        """
+        await self._stopped.wait()
+        return self.engine_id
+
+    def stop(self) -> None:
+        self._stopped.set()  # Signal that we are stopping
+
+    @property
+    async def events(self) -> AsyncIterator[EventProtocol]:
+        """
+        This method is a generator that yields events produced by the engine
+        as they are emitted. The generator will continue to yield events until
+        the engine has completed AND all events have been emitted.
+        """
+        logger.debug("Assistant started. Listening for events.")
+        while not self._stopped.is_set():
+            try:
+                yield await self._event_queue.get()
+            except asyncio.TimeoutError:
+                continue
+        logger.debug("Assistant stopped. No more events will be emitted.")
+
+    def _emit(self, event: EventProtocol) -> None:
+        event.session_id = self.engine_id
+        self._event_queue.put_nowait(event)
+        logger.debug(
+            "Engine queud an event (_emit).", extra_data({"event": {"id": event.id, "message": event.message}})
+        )
+
+    ######################################
+    # Routine running and resumption.
+    ######################################
+
+    def list_routines(self) -> list[str]:
+        """List all available routines in format skill_name.routine_name"""
+        routines = []
+        for skill_name, skill in self._skills.items():
+            routines.extend(f"{skill_name}.{routine}" for routine in skill.list_routines())
+        return routines
+
+    def is_routine_running(self) -> bool:
+        return self._current_input_future is not None
+
+    async def _run_routine_task(
+        self,
+        run_context: RunContext,
+        designation: str,
+        routine,
+        result_future: asyncio.Future,
+        *args: Any,
+        **kwargs: Any,
+    ):
+        try:
+            logger.debug(
+                "Starting routine task.",
+                extra_data({"designation": designation, "stack": [id(rf) for rf in self._routine_output_futures]}),
+            )
+            self._emit(StatusUpdatedEvent(message=f"Executing routine: {designation}"))
+
+            async def ask_user(prompt: str) -> str:
+                self._emit(MessageEvent(message=prompt))
+                self._emit(StatusUpdatedEvent())
+                logger.debug("Routine paused for ask_user.", extra_data({"prompt": prompt}))
+
+                # Create new input future
+                self._current_input_future = asyncio.Future()
+                return await self._current_input_future
+
+            async def run_routine_context_wrapper(designation: str, *args: Any, **kwargs: Any) -> Any:
+                return await self.run_routine_with_context(run_context, designation, *args, **kwargs)
+
+            # Run the routine, but await
+            routine_stack_state = await self.routine_stack.get_current_state()
+            result = await routine(
+                run_context,
+                routine_stack_state,
+                self._emit,
+                run_routine_context_wrapper,
+                ask_user,
+                *args,
+                **kwargs,
+            )
+            await self.routine_stack.set_current_state(routine_stack_state)
+
+            # When the routine completes, set the result on the result future.
+            logger.debug(f"Routine {designation} executed successfully. Result: {result}")
+            result_future.set_result(result)
+            # self._emit(InformationEvent(message=f"Routine `{designation}` completed successfully. Result: {result}"))
+
+        except Exception as e:
+            tb = traceback.format_exc()
+            self._emit(InformationEvent(message=f"Error in routine `{designation}`:\n\n```{str(e)}\n\n{tb}```"))
+            result_future.set_exception(e)
+        finally:
+            if self._routine_output_futures:
+                popped = self._routine_output_futures.pop()
+                logger.debug("Popped result future.", extra_data({"id": id(popped)}))
+            self._emit(StatusUpdatedEvent())
+            await self.routine_stack.pop()
+
+    async def run_routine(self, designation: str, *args: Any, **kwargs: Any) -> Any:
+        """
+        Start a new run with an initial routine. This is the entrypoint from
+        outside the engine. All internal calls (a subroutine for a routine) will
+        be calling `run_routine_with_context` so the same `run_id` will be used
+        throughout the routine run.
+        """
+
+        run_context = RunContext(
+            session_id=self.engine_id,
+            run_drive=self.drive,
+            conversation_history=self.message_history_provider,
+            skills=self._skills,
+        )
+
+        skill_name, routine_name = designation.split(".")
+        skill = self._skills[skill_name]
+        routine = skill.get_routine(routine_name)
+        if not routine:
+            self._emit(InformationEvent(message=f"Routine {designation} not found"))
+            return
+
+        result_future = asyncio.Future()
+        logger.debug("Creating new routine.", extra_data({"designation": designation, "id": id(result_future)}))
+        self._routine_output_futures.append(result_future)
+
+        # Start the initial routine
+        asyncio.create_task(
+            self._run_routine_task(
+                run_context,
+                designation,
+                routine,
+                result_future,
+                *args,
+                **kwargs,
+            )
+        )
+
+        result = await result_future
+
+        # Return the result along with the metadata log for the full run.
+        metadata = {ts: data for ts, data in run_context.metadata_log}
+        self._emit(InformationEvent(message=str(result), metadata=metadata))
+
+        return result
+
+    async def run_routine_with_context(
+        self, run_context: RunContext, designation: str, *args: Any, **kwargs: Any
+    ) -> Any:
+        """
+        Run a routine and return its result. This blocks until the routine
+        completes, but the Engine remains responsive to input via
+        resume_routine.
+        """
+        skill_name, routine_name = designation.split(".")
+        skill = self._skills[skill_name]
+        routine = skill.get_routine(routine_name)
+        if not routine:
+            self._emit(InformationEvent(message=f"Routine {designation} not found"))
+            # raise ValueError(f"Routine {designation} not found")
+            return
+
+        result_future = asyncio.Future()
+        logger.debug("Creating new routine.", extra_data({"designation": designation, "id": id(result_future)}))
+        self._routine_output_futures.append(result_future)
+
+        # Create task but don't await it yet
+        asyncio.create_task(self._run_routine_task(run_context, designation, routine, result_future, *args, **kwargs))
+
+        # Return the result future directly
+        return await result_future
+
+    async def resume_routine(self, message: str) -> None:
+        logger.debug("Resume routine called.", extra_data({"message": message}))
+        if self._current_input_future:
+            logger.debug("Setting result for input_future.", extra_data({"id": id(self._current_input_future)}))
+            self._current_input_future.set_result(message)
+            self._current_input_future = None
+        else:
+            logger.debug("No current routine to resume")
diff --git a/libraries/python/skills/skill-library/skill_library/routine/__init__.py b/libraries/python/skills/skill-library/skill_library/routine/__init__.py
deleted file mode 100644
index d9708f21..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine/__init__.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from typing import Union
-
-from .action_list_routine import ActionListRoutine
-from .instruction_routine import InstructionRoutine
-from .program_routine import ProgramRoutine
-from .routine import Routine
-from .state_machine_routine import StateMachineRoutine
-
-RoutineTypes = Union[ActionListRoutine, InstructionRoutine, ProgramRoutine, StateMachineRoutine]
-
-__all__ = [
-    "ActionListRoutine",
-    "InstructionRoutine",
-    "ProgramRoutine",
-    "StateMachineRoutine",
-    "Routine",
-    "RoutineTypes",
-]
diff --git a/libraries/python/skills/skill-library/skill_library/routine/action_list_routine.py b/libraries/python/skills/skill-library/skill_library/routine/action_list_routine.py
deleted file mode 100644
index 8ddf898f..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine/action_list_routine.py
+++ /dev/null
@@ -1,84 +0,0 @@
-from typing import Any
-
-from liquid import Template
-
-from ..utilities import find_template_vars, parse_command_string, parse_template
-from .routine import Routine
-
-
-def format_with_liquid(template: str, vars: dict[str, Any]) -> str:
-    """
-    Format a string with the given variables using the Liquid template engine.
-    """
-    if not vars:
-        return template
-    liquid_template = Template(template)
-    return liquid_template.render(**vars)
-
-
-class ActionListRoutine(Routine):
-    def __init__(
-        self,
-        name: str,
-        skill_name: str,
-        description: str,
-        routine: str,
-    ) -> None:
-        super().__init__(
-            name=name,
-            skill_name=skill_name,
-            description=description,
-        )
-        self.routine = routine
-
-    def template_vars(self) -> list[str]:
-        return find_template_vars(self.routine)
-
-    def validate(self, vars: dict[str, Any]):
-        """
-        Validate the routine. In the case of an Action routine this means that:
-        - Each line should have an output variable name defined (the string
-        before the first colon). - For each line:
-            - Any template variables should have already been defined in either
-              vars, or in previous lines.
-            - The remaining line (after the colon), with replacements, should be
-              parseable as a command.
-        """
-        # First, clean out any template variables that have been set.
-        parsed_routine = parse_template(self.routine, vars)
-
-        # Gather up defined output variables as we go.
-        output_variables = {}
-
-        for line in parsed_routine.split("\n"):
-            # Skip empty lines.
-            line = line.strip()
-            if not line:
-                continue
-
-            # Check the line format (output_variable: command).
-            if ":" not in line:
-                raise ValueError(f"Invalid line in routine: {line}")
-            output_variable_name, command = line.split(":", 1)
-            output_variable_name = output_variable_name.strip()
-            command = command.strip()
-            if not command:
-                raise ValueError(f"Empty command in routine: {line}")
-
-            # Check that no undefined variables are used.
-            if not all(variable in output_variables for variable in find_template_vars(command)):
-                raise ValueError(f"Unbound template variable in routine: {line}")
-
-            # Check that the command string is valid.
-            try:
-                command = parse_template(command, dict(output_variables))
-                parse_command_string(command)
-            except ValueError as e:
-                raise ValueError(f"Unparsable command in routine. {e} {command}")
-
-            # Add this line's output variable for checking next line.
-            output_variables[output_variable_name] = None
-
-    def __str__(self) -> str:
-        template_vars = find_template_vars(self.routine)
-        return f"{self.fullname}(vars: {template_vars}): {self.description}"
diff --git a/libraries/python/skills/skill-library/skill_library/routine/instruction_routine.py b/libraries/python/skills/skill-library/skill_library/routine/instruction_routine.py
deleted file mode 100644
index 7234c10f..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine/instruction_routine.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from ..utilities import find_template_vars
-from .routine import Routine
-
-
-class InstructionRoutine(Routine):
-    def __init__(
-        self,
-        name: str,
-        skill_name: str,
-        description: str,
-        routine: str,
-    ) -> None:
-        super().__init__(
-            name=name,
-            skill_name=skill_name,
-            description=description,
-        )
-        self.routine = routine
-
-    def template_vars(self) -> list[str]:
-        return find_template_vars(self.routine)
-
-    def __str__(self) -> str:
-        template_vars = find_template_vars(self.routine)
-        return f"{self.fullname}(vars: {template_vars}): {self.description}"
diff --git a/libraries/python/skills/skill-library/skill_library/routine/program_routine.py b/libraries/python/skills/skill-library/skill_library/routine/program_routine.py
deleted file mode 100644
index 31611343..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine/program_routine.py
+++ /dev/null
@@ -1,111 +0,0 @@
-import inspect
-from textwrap import dedent
-from typing import Any, Callable
-
-from ..utilities import find_template_vars
-from .routine import Routine
-
-
-class ProgramRoutine(Routine):
-    """
-    A routine that is defined by a Python program. The program will be executed
-    by the assistant. When run, the program routine will be interpreted and
-    executed up until the first non-builtin function call. The program will the
-    pause and the external function will be called using the run_action method.
-    The result of the external function call will be passed back to the
-    interpreter and the program will resume execution.
-
-    ## Writing a Program Routine
-
-    The program must have a `main` function that will be called to start the
-    program.
-
-    You can define the program with a string, or use the `get_function_source`
-    function below to convert a function (the `main` function) into a string.
-
-    You will have to mock any external functions that are called in the program
-    so that the program can be linted. To make this simple, you can use the
-    `ExternalFunctionMock` class below to mock the functions. The program will
-    call the real functions when it is executed.
-
-    See the [Program Routine
-    Runner](../routine_runners/program_routine_runner/program_routine_runner.py)
-    to see how the program is executed.
-
-    ## Loop Variables
-
-    Each time the program is run, it is executed from the beginning. This makes
-    the interpreter simpler since we don't have to track our position in the
-    program and all variables scopes to that position to resume. To make this
-    work, the interpreter keeps a cache of previously run function calls and
-    will use the cached result if the function is called with the same arguments
-    again.
-
-    This means one important way these programs differ from normal Python
-    programs is that they any external function calls inside loops need to
-    include the loop variable in the arguments to the function. Otherwise, the
-    function will be called once and the result will be cached and used for all
-    iterations of the loop, which is probably not what you want.
-
-    ## Program source variables
-
-    The programs can also use mustache variables replacement to insert values
-    into the program before it is executed. The mustache variables should be
-    defined in the arg set that is passed to the program runner. The end result
-    is that any arguments you pass into the `run_action` method will be
-    available in the program as mustache variables. This allows you to run the
-    same program routine with different arguments. For example, the when working
-    with an assistant, if you use the command
-    `/run_routine("my_program_routine", {"name": "John"})`, the program will
-    have access to the variable `name` with the value `"John"` and will replace
-    `{{name}}` with `"John"` in the program source code before executing it.
-    """
-
-    def __init__(
-        self,
-        name: str,
-        skill_name: str,
-        description: str,
-        program: str,
-    ) -> None:
-        super().__init__(
-            name=name,
-            skill_name=skill_name,
-            description=description,
-        )
-        self.program = program
-
-    def validate(self, arg_set: dict[str, Any]) -> None:
-        """
-        Validate the routine with the given arguments.
-        """
-        # All of the routines template variables should be defined in the arg set.
-        template_vars = find_template_vars(self.program)
-        missing_vars = [var for var in template_vars if var not in arg_set]
-        if missing_vars:
-            raise ValueError(f"Missing variables in arg set: {missing_vars}")
-
-    def __str__(self) -> str:
-        template_vars = find_template_vars(self.program)
-        return f"{self.name}(vars: {template_vars}): {self.description}"
-
-
-def get_function_source(func: Callable) -> str:
-    """Get the source code of a function."""
-    return dedent(inspect.getsource(func))
-
-
-class ExternalFunctionMock:
-    """
-    Program Routines store the source code for a routine that you would like
-    executed. One way to provide that source code is to write a `main` function
-    and then use `get_function_source` to get the source code of that function.
-    This class is used to mock the functions that are called in the `main`
-    function so it passes linting. Simply define any function that doesn't lint
-    (which will be executed for real by the program_runner) and assign it a
-    mock. This is good enough for being able to generate the source code for the
-    routine.
-    """
-
-    def __getattr__(self, _: str) -> Any:
-        return lambda *args, **kwargs: None
diff --git a/libraries/python/skills/skill-library/skill_library/routine/routine.py b/libraries/python/skills/skill-library/skill_library/routine/routine.py
deleted file mode 100644
index 244cf2a1..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine/routine.py
+++ /dev/null
@@ -1,16 +0,0 @@
-class Routine:
-    def __init__(
-        self,
-        name: str,
-        skill_name: str,
-        description: str,
-    ) -> None:
-        self.name = name
-        self.skill_name = skill_name
-        self.description = description
-
-    def fullname(self) -> str:
-        return f"{self.skill_name}.{self.name}"
-
-    def __str__(self) -> str:
-        return self.fullname()
diff --git a/libraries/python/skills/skill-library/skill_library/routine/state_machine_routine.py b/libraries/python/skills/skill-library/skill_library/routine/state_machine_routine.py
deleted file mode 100644
index d64d39c5..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine/state_machine_routine.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from typing import Any, Awaitable, Callable, Optional, Tuple
-
-from skill_library.run_context import RunContext
-
-from .routine import Routine
-
-
-class StateMachineRoutine(Routine):
-    def __init__(
-        self,
-        name: str,
-        skill_name: str,
-        description: str,
-        init_function: Callable[[RunContext, Any], Awaitable[Tuple[bool, Any]]],
-        step_function: Callable[[RunContext, Optional[str]], Awaitable[Tuple[bool, Any]]],
-    ) -> None:
-        super().__init__(
-            name=name,
-            skill_name=skill_name,
-            description=description,
-        )
-        self.init_function = init_function
-        self.step_function = step_function
-
-    def __str__(self) -> str:
-        return f"{self.name}: {self.description}"
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/__init__.py b/libraries/python/skills/skill-library/skill_library/routine_runners/__init__.py
deleted file mode 100644
index 7abe89de..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/__init__.py
+++ /dev/null
@@ -1,16 +0,0 @@
-from typing import Union
-
-from .action_list_routine_runner import ActionListRoutineRunner
-from .instruction_routine_runner import InstructionRoutineRunner
-from .program_routine_runner.program_routine_runner import ProgramRoutineRunner
-from .state_machine_routine_runner import StateMachineRoutineRunner
-
-RunnerTypes = Union[ActionListRoutineRunner, InstructionRoutineRunner, ProgramRoutineRunner, StateMachineRoutineRunner]
-
-__all__ = [
-    "ActionListRoutineRunner",
-    "InstructionRoutineRunner",
-    "ProgramRoutineRunner",
-    "RunnerTypes",
-    "StateMachineRoutineRunner",
-]
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/action_list_routine_runner.py b/libraries/python/skills/skill-library/skill_library/routine_runners/action_list_routine_runner.py
deleted file mode 100644
index a2d9f223..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/action_list_routine_runner.py
+++ /dev/null
@@ -1,99 +0,0 @@
-from typing import TYPE_CHECKING, Any, Awaitable, Callable
-
-from events import BaseEvent, InformationEvent, NoticeEvent
-
-if TYPE_CHECKING:
-    pass
-
-from ..routine import ActionListRoutine
-from ..run_context import RunContext
-from ..utilities import find_template_vars, make_arg_set, parse_command_string, parse_template, to_string
-
-RespondFunction = Callable[[str], Awaitable[BaseEvent]]
-
-
-class ActionListRoutineRunner:
-    async def run(
-        self, run_context: RunContext, routine: ActionListRoutine, *args: Any, **kwargs: Any
-    ) -> tuple[bool, Any]:
-        """
-        Run an Action List routine. This just runs through the steps of a
-        routine, which should be actions, and executes each one. Note: It might
-        handle more configuration, manage results of steps, handle errors and
-        retries, etc. Also, we might add meta-cognitive functions, tracking
-        progress and changing steps as necessary.
-        """
-
-        # Make kwargs out of args (aligning them to the order of the mustache
-        # variables in the routine).
-        arg_set = make_arg_set(find_template_vars(routine.routine), args, kwargs)
-
-        # Validate the routine.
-        try:
-            routine.validate(arg_set)
-        except ValueError as e:
-            run_context.emit(InformationEvent(message=f"Routine failed validation. {e}"))
-            return True, None
-
-        # Replace mustache variables in the routine with the values from the arg
-        # set.
-        parsed_routine = parse_template(routine.routine, arg_set)
-
-        # Set current step and locals to the stack frame state.
-        async with run_context.stack_frame_state() as state:
-            state["routine"] = parsed_routine
-            current_step = state.get("current_step", 0)
-            locals = state.get("locals", arg_set)
-            state["current_step"] = current_step
-            state["locals"] = locals
-
-        await self.next(run_context, routine, "")
-
-        return True, None
-
-    async def next(self, run_context: RunContext, routine: ActionListRoutine, message: str) -> tuple[bool, Any]:
-        """
-        Run the next step in the current routine.
-        """
-
-        # Reload state
-        async with run_context.stack_frame_state() as state:
-            parsed_routine: str = state["routine"]
-            current_step: int = state["current_step"]
-
-        # Run the remaining steps.
-        lines = [line.strip() for line in parsed_routine.split("\n") if line.strip()]
-        for line in lines[current_step:]:
-            async with run_context.stack_frame_state() as state:
-                run_context.emit(InformationEvent(message=f"Running step: {line}"))
-
-                # Separate output variables from the action string.
-                output_variable_name, command_string = line.split(":", 1)
-
-                # Replace mustache variables in the command string with locals.
-                command_string = parse_template(command_string, state["locals"]).strip()
-
-                # Parse the command string into a command and args.
-                command, args, kwargs = parse_command_string(command_string)
-
-                # Run the action!
-                match command:
-                    case "run_routine":
-                        # TODO: This is untested.
-                        result: Any = await run_context.run_routine(command, *args, **kwargs)
-                    case "print":
-                        run_context.emit(InformationEvent(message=args[0]))
-                        result = None
-                    case _:
-                        result: Any = await run_context.run_action(command, *args, **kwargs)
-
-                # Save and report on the result.
-                result_string = to_string(result)
-                state["locals"][output_variable_name] = result_string
-                run_context.emit(NoticeEvent(message=result_string))
-
-                # Increment the current step.
-                current_step += 1
-                state["current_step"] = current_step
-
-        return True, None
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/instruction_routine_runner.py b/libraries/python/skills/skill-library/skill_library/routine_runners/instruction_routine_runner.py
deleted file mode 100644
index cb6dc2ab..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/instruction_routine_runner.py
+++ /dev/null
@@ -1,83 +0,0 @@
-from typing import TYPE_CHECKING, Any, Awaitable, Callable
-
-from events import BaseEvent, InformationEvent
-
-if TYPE_CHECKING:
-    pass
-
-from ..routine import InstructionRoutine
-from ..run_context import RunContext
-from ..utilities import find_template_vars, make_arg_set
-
-RespondFunction = Callable[[str], Awaitable[BaseEvent]]
-
-
-class InstructionRoutineRunner:
-    def __init__(self, respond_function: RespondFunction) -> None:
-        self.respond = respond_function
-
-    async def run(
-        self, context: RunContext, routine: InstructionRoutine, *args: Any, **kwargs: Any
-    ) -> tuple[bool, Any]:
-        """
-        Run an Instruction routine. This just runs through the steps of a
-        routine, sending each one to its skill's response endpoint.
-
-        Note, this means this can only be used with skills that have been
-        configured with a chat driver, and this currently doesn't work in a
-        "cross-skill" way. All actions must be accessible from the chat driver
-        of the skill that packages the routine. This is of limited use, but this
-        was the first routine runner we built as a demo and it may have some
-        utility in edge cases.
-
-        This could be much more sophisticated, though. In addition to making it
-        cross-skill, it might handle more configuration, manage results of
-        steps, handle errors and retries, add meta-cognitive functions, tracking
-        progress and changing steps as necessary. Probably better to invest all
-        of these ideas in other routine runners, though.
-        """
-
-        # Make kwargs out of args (aligning them to the order of the mustache
-        # variables in the routine).
-        arg_set = make_arg_set(find_template_vars(routine.routine), args, kwargs)
-
-        # Replace mustache variables in the routine with the values from the arg set.
-        parsed_routine = routine.routine
-        for key, value in arg_set.items():
-            parsed_routine = parsed_routine.replace(f"{{{{ {key} }}}}", str(value))
-            parsed_routine = parsed_routine.replace(f"{{{{{key}}}}}", str(value))
-
-        # Detect if there are any un-replaced mustache variables in the routine.
-        if find_template_vars(parsed_routine):
-            context.emit(
-                InformationEvent(
-                    message=f"Unresolved mustache variables in routine. You need more keyword args: {', '.join(find_template_vars(parsed_routine))}"
-                )
-            )
-            return True, None
-
-        # TODO: save a copy of this routine to run state.
-
-        steps = [step.strip() for step in parsed_routine.split("\n") if step.strip()]
-        for step in steps:
-            context.emit(InformationEvent(message=f"Running step: {step}"))
-            response: BaseEvent = await self.respond(step)
-            informationEvent = InformationEvent(**response.model_dump())
-            context.emit(informationEvent)
-
-        return True, None
-
-    async def next(self, context: RunContext, routine: InstructionRoutine, message: str) -> tuple[bool, Any]:
-        """
-        Run the next step in the current routine.
-        """
-
-        # Instruction routines have no "next" step as the entire routine is run
-        # in one go. If we have gotten into this state (because of an error
-        # while running the routine, and the stack wasn't popped) then go ahead
-        # and finish to clear the state.
-        informationEvent = InformationEvent(
-            message="Instruction routine was previously run and ended without clearing the stack state. Clearing now. Try running the routine again."
-        )
-        context.emit(informationEvent)
-        return True, None
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/__init__.py b/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/__init__.py
deleted file mode 100644
index 67f0bc10..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-from .function_cache import FunctionCache
-from .interpreter import Interpreter
-from .types import PausedExecution, ReturnValue
-
-__all__ = ["Interpreter", "PausedExecution", "ReturnValue", "FunctionCache"]
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/function_cache.py b/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/function_cache.py
deleted file mode 100644
index 35027602..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/function_cache.py
+++ /dev/null
@@ -1,77 +0,0 @@
-import base64
-import json
-import pickle
-from typing import Any, Dict
-
-
-class FunctionCache:
-    """Cache for function results based on arguments."""
-
-    def __init__(self):
-        self.cache: Dict[str, Dict[tuple, Any]] = {}
-
-    @classmethod
-    def make_hashable(cls, obj: Any) -> Any:
-        """Convert a potentially unhashable object into a hashable one."""
-        if isinstance(obj, dict):
-            return tuple((cls.make_hashable(k), cls.make_hashable(v)) for k, v in sorted(obj.items()))
-        elif isinstance(obj, (list, set)):
-            return tuple(cls.make_hashable(x) for x in obj)
-        elif isinstance(obj, (str, int, float, bool, type(None))):
-            return obj
-        else:
-            # For other types, we'll use their string representation
-            # This is a fallback and might not be perfect for all cases
-            return str(obj)
-
-    @classmethod
-    def get_cache_key(cls, args: tuple, kwargs: Dict[str, Any]) -> tuple:
-        """Create a cache key from args and kwargs."""
-        hashable_args = tuple(cls.make_hashable(arg) for arg in args)
-        hashable_kwargs = tuple((k, cls.make_hashable(v)) for k, v in sorted(kwargs.items()))
-        return hashable_args + hashable_kwargs
-
-    def get(self, func_name: str, args: tuple, kwargs: Dict[str, Any]) -> Any:
-        """Get cached result for function call if it exists."""
-        if func_name not in self.cache:
-            raise KeyError(f"No cache for function {func_name}")
-
-        cache_key = self.get_cache_key(args, kwargs)
-        if cache_key not in self.cache[func_name]:
-            raise KeyError(f"No cached result for {func_name} with args {args}, kwargs {kwargs}")
-
-        return self.cache[func_name][cache_key]
-
-    def set(self, func_name: str, args: tuple, kwargs: Dict[str, Any], result: Any) -> None:
-        """Cache result for function call."""
-        if func_name not in self.cache:
-            self.cache[func_name] = {}
-
-        cache_key = self.get_cache_key(args, kwargs)
-        self.cache[func_name][cache_key] = result
-
-    def set_with_cache_key(self, func_name: str, cache_key: tuple, result: Any) -> None:
-        """Cache result for function call with a precomputed cache key."""
-        if func_name not in self.cache:
-            self.cache[func_name] = {}
-
-        self.cache[func_name][cache_key] = result
-
-    def json(self) -> str:
-        """Return the cache as a JSON serializable dictionary."""
-        # convert cache keys to strings
-        data = {func_name: {str(key): value for key, value in cache.items()} for func_name, cache in self.cache.items()}
-        return json.dumps(data, indent=2)
-
-    def serialize(self) -> str:
-        """Serialize the cache to bytes."""
-        pickle_bytes = pickle.dumps(self.cache)
-        return base64.b64encode(pickle_bytes).decode("utf-8")
-
-    @classmethod
-    def deserialize(cls, data: str) -> "FunctionCache":
-        """Create a new FunctionCache from serialized data."""
-        pickle_bytes = base64.b64decode(data.encode("utf-8"))
-        instance = cls()
-        instance.cache = pickle.loads(pickle_bytes)
-        return instance
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/function_interceptor.py b/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/function_interceptor.py
deleted file mode 100644
index 8c2d07ea..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/function_interceptor.py
+++ /dev/null
@@ -1,85 +0,0 @@
-import ast
-import builtins
-import sys
-from typing import cast
-
-
-class FunctionInterceptor(ast.NodeTransformer):
-    """Transforms function calls to allow pausing on unknown functions."""
-
-    def __init__(self) -> None:
-        pass
-
-    def get_function_name(self, node: ast.Call) -> str | None:
-        """Get fully qualified function name from a Call node. Returns None for builtins."""
-        if isinstance(node.func, ast.Name):
-            # Special case for print - treat it as external
-            if node.func.id == "print":
-                return node.func.id
-            # Simple function call
-            if node.func.id in dir(builtins):
-                return None
-            return node.func.id
-        elif isinstance(node.func, ast.Attribute):
-            # Skip transformation for module methods (e.g. json.dumps)
-            if isinstance(node.func.value, ast.Name):
-                try:
-                    # Check if this is a module import that's available
-                    module_name = node.func.value.id
-                    if module_name in sys.modules:
-                        return None
-                except:
-                    pass
-
-            # For method calls, check if the method exists in builtin types
-            method_name = node.func.attr
-            if (
-                method_name in dir(list)
-                or method_name in dir(dict)
-                or method_name in dir(set)
-                or method_name in dir(str)
-            ):
-                return None
-
-            # Not a builtin method, build up the full path
-            parts = []
-            current = node.func
-            while isinstance(current, ast.Attribute):
-                parts.append(current.attr)
-                current = current.value
-            if isinstance(current, ast.Name):
-                parts.append(current.id)
-                return ".".join(reversed(parts))
-        return None
-
-    def visit_Call(self, node: ast.Call) -> ast.AST:
-        """Intercept function calls and wrap them in handle_function_call."""
-        visited_args = [self.visit(arg) for arg in node.args]
-        visited_keywords = [ast.keyword(arg=kw.arg, value=self.visit(kw.value)) for kw in node.keywords]
-
-        if isinstance(node.func, ast.Name) and node.func.id == "ReturnValue":  # Don't transform ReturnValue calls
-            return ast.Call(func=node.func, args=visited_args, keywords=visited_keywords)
-
-        func_name = self.get_function_name(node)
-        if func_name is None:
-            # Builtin function/method - don't transform
-            return ast.Call(func=node.func, args=visited_args, keywords=visited_keywords)
-
-        # Transform the call
-        return ast.Call(
-            func=ast.Name(id="handle_function_call", ctx=ast.Load()),
-            args=[cast(ast.expr, ast.Constant(value=func_name))] + visited_args,
-            keywords=visited_keywords,
-        )
-
-    def visit_Return(self, node: ast.Return) -> ast.AST:
-        """Transform return statements to wrap their values in ReturnValue."""
-        if node.value is None:
-            return ast.Return(
-                value=ast.Call(
-                    func=ast.Name(id="ReturnValue", ctx=ast.Load()), args=[ast.Constant(value=None)], keywords=[]
-                )
-            )
-        return ast.Return(
-            value=ast.Call(func=ast.Name(id="ReturnValue", ctx=ast.Load()), args=[self.visit(node.value)], keywords=[])
-        )
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/interpreter.py b/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/interpreter.py
deleted file mode 100644
index b8c964c9..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/interpreter.py
+++ /dev/null
@@ -1,151 +0,0 @@
-import ast
-import logging
-import types
-from typing import Any, Callable, Generator, Union
-
-from .function_cache import FunctionCache
-from .function_interceptor import FunctionInterceptor
-from .interpreter_state import InterpreterState
-from .types import PausedExecution, ProgramLoggerType, ReturnValue
-from .utils import get_function_source
-
-
-class Interpreter:
-    def __init__(self, program_logger: ProgramLoggerType | None = None) -> None:
-        # Set up logging.
-        if program_logger is None:
-            logger = logging.getLogger(__name__)
-
-            def default_logger(msg: str):
-                logger.debug(msg)
-
-            self.program_logger = default_logger
-        else:
-            self.program_logger = program_logger
-
-        self.globals = {}
-        self.main_func = None
-        self.function_cache = FunctionCache()
-        self.transformed_code: str | None = None
-
-    # Persistence methods
-
-    def get_state(self) -> str:
-        """Get serializable state of the interpreter."""
-        if self.transformed_code is None:
-            raise RuntimeError("No code has been transformed yet")
-
-        state = InterpreterState(cache_data=self.function_cache.serialize(), transformed_code=self.transformed_code)
-        return state.serialize()
-
-    @classmethod
-    def from_state(
-        cls,
-        state_data: str,
-        program_logger: ProgramLoggerType | None = None,
-    ) -> "Interpreter":
-        """Create a new Interpreter instance from serialized state."""
-        state = InterpreterState.deserialize(state_data)
-        interpreter = cls(program_logger)
-        interpreter.function_cache = FunctionCache.deserialize(state.cache_data)
-        interpreter.transformed_code = state.transformed_code
-        return interpreter
-
-    ## External function (actions) handling.
-
-    def handle_function_call(self, func_name: str, *args: Any, **kwargs: Any) -> Any:
-        """Handles function calls amd caches results."""
-        try:
-            return self.function_cache.get(func_name, args, kwargs)
-        except KeyError:
-            # If this is a known function (passed in via globals), call it.
-            if func_name in self.globals:
-                return self.globals[func_name](*args, **kwargs)
-
-            raise PausedExecution(func_name, args, kwargs)
-
-    def add_function_result(self, func_name: str, cache_key: tuple, result: Any) -> None:
-        """Add a function result to the cache."""
-        self.function_cache.set_with_cache_key(func_name, cache_key, result)
-
-    def load_function(self, func: Callable) -> "Interpreter":
-        """Load a function into the interpreter."""
-        self.globals[func.__name__] = func
-        source = get_function_source(func)
-        self.load_code(source)
-        return self
-
-    def load_code(self, code: str) -> "Interpreter":
-        """Load and parse source code."""
-        tree: ast.Module = ast.parse(code)
-        transformer: FunctionInterceptor = FunctionInterceptor()
-        new_tree: ast.Module = transformer.visit(tree)
-        ast.fix_missing_locations(new_tree)
-        self.transformed_code = ast.unparse(new_tree)
-        return self
-
-    def execute_with_pausing(self) -> Generator[Union[PausedExecution, Any], None, None]:
-        """
-        Executes Python code as a generator, pausing on unknown function calls.
-        Yields either PausedExecution instances or the final return value.
-
-        Args:
-            code: The source code to execute
-            transform: Whether to transform the code (False if code is already transformed)
-        """
-
-        if self.transformed_code is None:
-            raise RuntimeError("No transformed code available")
-        compile_me = ast.parse(self.transformed_code)
-
-        # Add the handle_function_call function to the globals. The compiler
-        # will replace non-builtin function calls with a call to this function.
-        # This is how we pause execution so we can handle external functions.
-        exec_globals = {
-            **self.globals,
-            "handle_function_call": self.handle_function_call,
-            "ReturnValue": ReturnValue,
-        }
-
-        # Compile and execute the transformed code. This results in giving us a
-        # new main function that will call handle_function_call when it
-        # encounters an external function.
-        exec(compile(compile_me, filename="<ast>", mode="exec"), exec_globals)
-        if "main" not in exec_globals or not isinstance(exec_globals["main"], types.FunctionType):
-            raise RuntimeError("Error: A `main` function is required.")
-
-        # Here's the function to call to kick things off!
-        self.main_func = exec_globals["main"]
-
-        # Now enter the execution loop
-        while True:
-            result = None
-            try:
-                # Call the routine. If it hits an external function, it will
-                # call `handle_function_call`` which will raise
-                # `PausedExecution` and get us back here.
-                #
-                # handle_function_call takes care of caching results from
-                # external function calls. We use the function name and it's
-                # args as a cache key so only functions with the exact same name
-                # and args will be cached. Once they are run, they won't be
-                # paused again, their value is just used.
-                #
-                # We run the entire function over and over until it
-                # passes without pausing (that's why we're in a while loop).
-                result = self.main_func()
-            except PausedExecution as pause_info:
-                # Yield pause info back to the caller
-                # ('program_routine_runner'). We'll wait for a response from
-                # them. Note that this is running in memory. If the service
-                # restarts, we'll never resume here. Also, this limits us to
-                # running on a single process... which is probably not what we
-                # want for a production system.
-                yield pause_info
-                continue
-
-            # If we get here, main_func completed without pausing. We can yield a ReturnValue if we got one, or just None.
-            if isinstance(result, ReturnValue):
-                yield result
-
-            break
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/interpreter_state.py b/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/interpreter_state.py
deleted file mode 100644
index 8b3ba5b1..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/interpreter_state.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import json
-
-
-class InterpreterState:
-    """Container for serializable interpreter state."""
-
-    def __init__(self, cache_data: str, transformed_code: str):
-        self.cache_data = cache_data
-        self.transformed_code = transformed_code
-
-    def serialize(self) -> str:
-        """Serialize the entire state to bytes."""
-        return json.dumps({
-            "cache_data": self.cache_data,
-            "transformed_code": self.transformed_code,
-        })
-
-    @classmethod
-    def deserialize(cls, data: str) -> "InterpreterState":
-        """Create new InterpreterState from serialized data."""
-        state_dict = json.loads(data)
-        return cls(cache_data=state_dict["cache_data"], transformed_code=state_dict["transformed_code"])
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/program_routine_runner.py b/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/program_routine_runner.py
deleted file mode 100644
index bf4e0c98..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/program_routine_runner.py
+++ /dev/null
@@ -1,146 +0,0 @@
-"""Program runner interface.
-
-This module contains the high-level interface for program execution and
-the abstract base class for execution environments.
-"""
-
-from typing import Any
-
-from events import InformationEvent, MessageEvent
-from semantic_workbench_api_model.workbench_model import ConversationMessageList
-
-from skill_library.routine.program_routine import ProgramRoutine
-from skill_library.run_context import RunContext
-from skill_library.utilities import find_template_vars, make_arg_set, parse_template
-
-from .interpreter import Interpreter
-from .types import PausedExecution, ReturnValue
-
-
-class ProgramRoutineLogger:
-    def __init__(self, run_context: RunContext) -> None:
-        self.run_context = run_context
-
-    def log(self, message: str) -> None:
-        self.run_context.emit(InformationEvent(message=message))
-
-
-class ProgramRoutineRunner:
-    """High-level interface for program execution.
-
-    Coordinates between interpreter and execution environment,
-    managing program lifecycle and external function calls.
-
-    Attributes:
-        context: Execution environment context
-        interpreter: Program interpreter instance
-
-    Requirements:
-        - Must handle program lifecycle
-        - Must coordinate external calls
-        - Must maintain program state
-        - Must provide clear results
-    """
-
-    async def start(
-        self, run_context: RunContext, routine: ProgramRoutine, *args: Any, **kwargs: Any
-    ) -> tuple[bool, Any]:
-        """Start program execution."""
-
-        # Make kwargs out of args (aligning them to the order of the mustache
-        # variables in the routine).
-        arg_set = make_arg_set(find_template_vars(routine.program), args, kwargs)
-
-        # Validate the routine.
-        try:
-            routine.validate(arg_set)
-        except ValueError as e:
-            run_context.emit(InformationEvent(message=f"Routine failed validation. {e}"))
-            return True, None
-
-        # Replace mustache variables in the routine with the values from the arg
-        # set.
-        try:
-            parsed_program = parse_template(routine.program, arg_set)
-            log_func = ProgramRoutineLogger(run_context).log
-            interpreter = Interpreter(log_func).load_code(parsed_program)
-        except Exception as e:
-            run_context.emit(InformationEvent(message=f"Failed to parse routine. {e}"))
-            return True, None
-
-        async with run_context.stack_frame_state() as state:
-            state["program_state"] = interpreter.get_state()
-
-        return await self._execute(run_context, interpreter)
-
-    async def resume(self, run_context: RunContext, message: str | None) -> tuple[bool, Any]:
-        """Resume with external function result."""
-        async with run_context.stack_frame_state() as state:
-            program_state: str = state["program_state"]
-            log_func = ProgramRoutineLogger(run_context).log
-            interpreter = Interpreter.from_state(program_state, log_func)
-
-            # Let the interpreter know the result of the last-paused function if
-            # we're waiting for one. Currently, this is just used for "ask_user".
-            if "paused_function_name" in state:
-                func_name = state["paused_function_name"]
-                cache_key = state["paused_function_cache_key"]
-                interpreter.add_function_result(func_name, cache_key, message)
-                del state["paused_function_name"]
-                del state["paused_function_cache_key"]
-
-        return await self._execute(run_context, interpreter)
-
-    async def _execute(self, run_context: RunContext, interpreter: Interpreter) -> tuple[bool, Any]:
-        run_context.emit(InformationEvent(message="Running Program routine."))
-        gen = interpreter.execute_with_pausing()
-
-        while True:
-            status = next(gen)
-            if status is None:
-                # No return at the end of the program.
-                return True, None
-            if isinstance(status, PausedExecution):
-                match status.func_name:
-                    case "run_routine":
-                        # TODO: This is untested. Ideally, it should result in a
-                        # new stack frame and the execution of the routine with
-                        # all messages being routed to it's "resume" methods.
-                        result: Any = await run_context.run_routine(status.func_name, *status.args, **status.kwargs)
-                    case "print":
-                        run_context.emit(InformationEvent(message=status.args[0]))
-                        result = None
-                        interpreter.add_function_result("print", status.cache_key, result)
-                    case "ask_user":
-                        run_context.emit(MessageEvent(message=status.args[0]))
-
-                        # Save state and pause execution in wait for a message.
-                        async with run_context.stack_frame_state() as state:
-                            state["program_state"] = interpreter.get_state()
-                            state["paused_function_name"] = status.func_name
-                            state["paused_function_cache_key"] = status.cache_key
-
-                        return False, None
-                    case "last_message":
-                        # Get the last message from the conversation history.
-                        messages: ConversationMessageList = await run_context.conversation_history()
-                        if messages.messages:
-                            result = messages.messages[-1].content
-                        else:
-                            result = None
-                    case _:
-                        # Actions don't need to be able to "ask user" so we
-                        # don't need to cache the result. We can just run the
-                        # action and its result to our interpreter cache.
-                        result = await run_context.run_action(status.func_name, *status.args, **status.kwargs)
-                        interpreter.add_function_result(status.func_name, status.cache_key, result)
-
-                async with run_context.stack_frame_state() as state:
-                    state["program_state"] = interpreter.get_state()
-
-            elif isinstance(status, ReturnValue):
-                return True, status.value
-
-            else:
-                run_context.emit(InformationEvent(message="Unexpected return value from program."))
-                return True, None
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/tests/test_injection.py b/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/tests/test_injection.py
deleted file mode 100644
index 4a4b622c..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/tests/test_injection.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from skill_library.routine_runners.program_routine_runner import Interpreter, ReturnValue
-
-
-def test_injectiong_json_library():
-    """You can use libraries that are available in the interpreter's
-    environment. Just import them inside your main function.
-    """
-    interpreter = Interpreter()
-
-    def main():
-        import json
-
-        x = {"key": "value"}
-        return json.dumps(x)
-
-    interpreter = Interpreter().load_function(main)
-    gen = interpreter.execute_with_pausing()
-    result = next(gen)
-    assert isinstance(result, ReturnValue)
-    assert result.value == '{"key": "value"}'
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/tests/test_interpreter.py b/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/tests/test_interpreter.py
deleted file mode 100644
index 7968c82d..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/tests/test_interpreter.py
+++ /dev/null
@@ -1,447 +0,0 @@
-from textwrap import dedent
-from typing import Generator
-
-import pytest
-from skill_library.routine_runners.program_routine_runner import (
-    FunctionCache,
-    Interpreter,
-    PausedExecution,
-    ReturnValue,
-)
-
-
-class TestInterpreter:
-    def test_basic(self):
-        code = dedent("""
-        def main():
-            x = str(123)  # Built-in function call
-            y = len([1, 2, 3])  # Built-in function call
-            z = unknown_func("test")  # Unknown function (should pause)
-            print(x, y, z)
-        """)
-
-        # Run with built-in support
-        interpreter = Interpreter()
-        interpreter.load_code(code)
-        gen = interpreter.execute_with_pausing()
-
-        try:
-            # Execution runs until it pauses.
-            status = next(gen)
-            assert isinstance(status, PausedExecution)
-
-            # Simulate getting a return value for `unknown_func`.
-            external_result = "external_result"
-
-            # Inject and resume
-            cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-            interpreter.add_function_result(status.func_name, cache_key, external_result)
-            gen = interpreter.execute_with_pausing()
-
-        except StopIteration:
-            print("Execution finished.")
-
-    def test_invalid_syntax(self):
-        """Test parsing rejects invalid Python syntax."""
-        code = "x = :"
-        with pytest.raises(SyntaxError):
-            interpreter = Interpreter().load_code(code)
-            gen = interpreter.execute_with_pausing()
-            next(gen)
-            assert False
-
-    def test_basic_function(self):
-        """Test parsing of valid Python code."""
-        interpreter = Interpreter()
-
-        def main():
-            x = 1
-            y = 2
-            result = x + y
-            return result
-
-        interpreter = Interpreter().load_function(main)
-        gen = interpreter.execute_with_pausing()
-        assert isinstance(gen, Generator)
-        value = next(gen)
-        assert value.value == 3  # type: ignore
-
-    def test_external_function_pause(self):
-        """Test parsing of valid Python code."""
-        interpreter = Interpreter()
-
-        def external_func(x, y):
-            return x + y
-
-        def main():
-            x = 1
-            y = 2
-            z = external_func(x, y)
-            result = x + y + z
-            return result
-
-        interpreter = Interpreter().load_function(main)
-        gen = interpreter.execute_with_pausing()
-
-        value = None
-        while True:
-            status = next(gen)
-            if isinstance(status, PausedExecution):
-                external_result = locals()[status.func_name](*status.args, **status.kwargs)
-                cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-                interpreter.add_function_result(status.func_name, cache_key, external_result)
-            elif isinstance(status, ReturnValue):
-                value = status.value
-                break
-
-        assert value == 6
-
-    def test_external_method_pause(self):
-        """Test parsing of valid Python code."""
-        interpreter = Interpreter()
-
-        class ExternalClass:
-            def external_func(self, x, y):
-                return x + y
-
-        common = ExternalClass()
-
-        def main():
-            x = 1
-            y = 2
-            z = common.external_func(x, y)
-            result = x + y + z
-            return result
-
-        interpreter = Interpreter().load_function(main)
-        gen = interpreter.execute_with_pausing()
-
-        value = None
-        while True:
-            status = next(gen)
-            if isinstance(status, PausedExecution):
-                external_result = common.external_func(*status.args, **status.kwargs)
-                cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-                interpreter.add_function_result(status.func_name, cache_key, external_result)
-            elif isinstance(status, ReturnValue):
-                value = status.value
-                break
-
-        assert value == 6
-
-    def test_multiple_external_calls(self):
-        """Test parsing of valid Python code."""
-
-        def external_func(x, y):
-            return x + y
-
-        def main():
-            x = 1
-            y = 2
-            z = external_func(x, x)  # Will pause
-            m = external_func(y, y)  # Will pause again since args are different
-            result = z + m
-            return result
-
-        interpreter = Interpreter().load_function(main)
-        gen = interpreter.execute_with_pausing()
-
-        value = None
-        while True:
-            status = next(gen)
-            if isinstance(status, PausedExecution):
-                # Calculate result with actual args
-                external_result = locals()[status.func_name](*status.args, **status.kwargs)
-                # Cache the result for these specific args
-                cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-                interpreter.add_function_result(status.func_name, cache_key, external_result)
-            elif isinstance(status, ReturnValue):
-                value = status.value
-                break
-
-        assert value == 6
-
-    def test_multiple_processes(self):
-        """Test handling external calls across multiple process boundaries."""
-
-        def external_func(x, y):
-            return x + y
-
-        def main():
-            x = 1
-            y = 2
-            z = external_func(x, x)
-            m = external_func(y, y)
-            result = z + m
-            return result
-
-        # First "process"
-        interpreter = Interpreter().load_function(main)
-        gen = interpreter.execute_with_pausing()
-
-        # Handle first external call
-        status = next(gen)
-        assert isinstance(status, PausedExecution)
-        external_result = external_func(*status.args, **status.kwargs)
-        cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-        interpreter.add_function_result(status.func_name, cache_key, external_result)
-
-        # Serialize state
-        state_data = interpreter.get_state()
-
-        # Second "process"
-        interpreter = Interpreter.from_state(state_data)
-        gen = interpreter.execute_with_pausing()  # Don't transform, use stored AST
-
-        # Handle second external call
-        status = next(gen)
-        assert isinstance(status, PausedExecution)
-        external_result = external_func(*status.args, **status.kwargs)
-        cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-        interpreter.add_function_result(status.func_name, cache_key, external_result)
-
-        # Get final result
-        result = next(gen)
-        assert isinstance(result, ReturnValue)
-        assert result.value == 6
-
-    def test_conditional_external_call(self):
-        """Test external function call inside a conditional block."""
-
-        def external_func(x, y):
-            return x + y
-
-        def main():
-            x = 1
-            y = 2
-            if x < y:  # This condition will be True
-                result = external_func(x, y)
-                return result
-            return 0
-
-        interpreter = Interpreter().load_function(main)
-        gen = interpreter.execute_with_pausing()
-
-        # Handle external call
-        status = next(gen)
-        assert isinstance(status, PausedExecution)
-        external_result = external_func(*status.args, **status.kwargs)
-        cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-        interpreter.add_function_result(status.func_name, cache_key, external_result)
-
-        # Get final result
-        result = next(gen)
-        assert isinstance(result, ReturnValue)
-        assert result.value == 3
-
-    def test_while_loop_external_call(self):
-        """Test external function call inside a while loop, breaking after second call."""
-
-        def external_func(x):
-            return x + 1
-
-        def main():
-            counter = 0
-            while True:
-                counter = external_func(counter)  # First call returns 1, second call returns 2
-                if counter >= 2:
-                    break
-            return counter
-
-        interpreter = Interpreter().load_function(main)
-        gen = interpreter.execute_with_pausing()
-
-        # First iteration - counter goes from 0 to 1
-        status = next(gen)
-        assert isinstance(status, PausedExecution)
-        assert status.args == (0,)  # First call with counter = 0
-        external_result = external_func(*status.args)
-        cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-        interpreter.add_function_result(status.func_name, cache_key, external_result)
-
-        # Second iteration - counter goes from 1 to 2 and breaks
-        status = next(gen)
-        assert isinstance(status, PausedExecution)
-        assert status.args == (1,)  # Second call with counter = 1
-        external_result = external_func(*status.args)
-        cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-        interpreter.add_function_result(status.func_name, cache_key, external_result)
-
-        # Get final result
-        result = next(gen)
-        assert isinstance(result, ReturnValue)
-        assert result.value == 2  # Loop breaks when counter reaches 2
-
-    def test_nested_external_calls(self):
-        """Test external function call being used as argument to another external function."""
-
-        def add_one(x):
-            return x + 1
-
-        def multiply(x, y):
-            return x * y
-
-        def main():
-            x = 2
-            # multiply(add_one(x), x) should compute multiply(3, 2) = 6
-            result = multiply(add_one(x), x)
-            return result
-
-        interpreter = Interpreter().load_function(main)
-        gen = interpreter.execute_with_pausing()
-
-        # First we should get the inner add_one call
-        status = next(gen)
-        assert isinstance(status, PausedExecution)
-        assert status.func_name == "add_one"
-        assert status.args == (2,)
-        inner_result = add_one(*status.args)
-        cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-        interpreter.add_function_result(status.func_name, cache_key, inner_result)
-
-        # Then we should get the outer multiply call
-        status = next(gen)
-        assert isinstance(status, PausedExecution)
-        assert status.func_name == "multiply"
-        assert status.args == (3, 2)  # First arg is result of add_one(2), second arg is original x
-        outer_result = multiply(*status.args)
-        cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-        interpreter.add_function_result(status.func_name, cache_key, outer_result)
-
-        # Get final result
-        result = next(gen)
-        assert isinstance(result, ReturnValue)
-        assert result.value == 6
-
-    def test_external_function_complex_types(self):
-        """Test handling of complex data types in external function calls."""
-
-        def external_func(lst, dct):
-            return {"list_sum": sum(lst), "dict_value": dct["key"], "combined": f"{sum(lst)}_{dct['key']}"}
-
-        def main():
-            # Create some complex nested data structures
-            my_list = [1, 2, 3, 4, 5]
-            my_dict = {"key": "value", "nested": {"number": 42}}
-            data = external_func(my_list, my_dict)
-            return data
-
-        interpreter = Interpreter().load_function(main)
-        gen = interpreter.execute_with_pausing()
-
-        # Handle external call
-        status = next(gen)
-        assert isinstance(status, PausedExecution)
-        assert status.func_name == "external_func"
-
-        # Verify the arguments were passed correctly
-        assert status.args[0] == [1, 2, 3, 4, 5]
-        assert status.args[1] == {"key": "value", "nested": {"number": 42}}
-
-        # Calculate external function result
-        external_result = external_func(*status.args, **status.kwargs)
-        cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-        interpreter.add_function_result(status.func_name, cache_key, external_result)
-
-        # Get final result
-        result = next(gen)
-        assert isinstance(result, ReturnValue)
-
-        # Verify the complex return value
-        expected = {"list_sum": 15, "dict_value": "value", "combined": "15_value"}
-        assert result.value == expected
-
-        # Verify the result can be serialized and deserialized
-        # by getting interpreter state and restoring it
-        state_data = interpreter.get_state()
-        new_interpreter = Interpreter.from_state(state_data)
-
-        # Try to use the cached result
-        gen = new_interpreter.execute_with_pausing()
-        result = next(gen)
-        assert isinstance(result, ReturnValue)
-        assert result.value == expected
-
-    def test_state_persistence_complex(self):
-        """Test state persistence with complex call patterns and state serialization mid-execution."""
-
-        def external_func(x, prev_results=None):
-            # Function that depends on both current input and previous results
-            if prev_results is None:
-                prev_results = []
-            return {"value": x + sum(prev_results), "history": prev_results + [x]}
-
-        def main():
-            results = []
-            # We'll make three calls, each depending on previous results
-            for i in range(3):
-                response = external_func(i, prev_results=[r["value"] for r in results] if results else None)
-                results.append(response)
-            return results
-
-        # First "process" - handle first call
-        interpreter = Interpreter().load_function(main)
-        gen = interpreter.execute_with_pausing()
-
-        # First call (i=0)
-        status = next(gen)
-        assert isinstance(status, PausedExecution)
-        assert status.args == (0,)  # First call with i=0
-        assert status.kwargs == {"prev_results": None}  # Default param gets passed as None
-        external_result = external_func(*status.args, **status.kwargs)
-        cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-        interpreter.add_function_result(status.func_name, cache_key, external_result)
-        print("Cache state after first call:")
-        print(interpreter.function_cache.json())
-
-        # Save state after first call
-        state_data = interpreter.get_state()
-
-        # Second "process" - handle second call
-        interpreter = Interpreter.from_state(state_data)
-        print("Cache state after loading state after first call:")
-        print(interpreter.function_cache.json())
-        gen = interpreter.execute_with_pausing()
-
-        # Second call (i=1)
-        status = next(gen)
-        assert isinstance(status, PausedExecution)
-        assert status.args == (1,)  # Second call with i=1
-        assert status.kwargs == {"prev_results": [0]}  # Previous results passed as kwarg
-        external_result = external_func(*status.args, **status.kwargs)
-        cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-        interpreter.add_function_result(status.func_name, cache_key, external_result)
-        print("Cache state after second call:")
-        print(interpreter.function_cache.json())
-
-        # Save state after second call
-        state_data = interpreter.get_state()
-
-        # Third "process" - handle final call
-        interpreter = Interpreter.from_state(state_data)
-        print("Cache state after loading state after second call:")
-        print(interpreter.function_cache.json())
-        gen = interpreter.execute_with_pausing()
-
-        # Third call (i=2)
-        status = next(gen)
-        assert isinstance(status, PausedExecution)
-        assert status.args == (2,)  # Third call with i=2
-        assert status.kwargs == {"prev_results": [0, 1]}  # Previous results passed as kwarg
-        external_result = external_func(*status.args, **status.kwargs)
-        cache_key = FunctionCache.get_cache_key(status.args, status.kwargs)
-        interpreter.add_function_result(status.func_name, cache_key, external_result)
-        print("Cache state after third call:")
-        print(interpreter.function_cache.json())
-
-        # Get final result
-        result = next(gen)
-        assert isinstance(result, ReturnValue)
-
-        # Verify the complete execution results
-        expected = [
-            {"value": 0, "history": [0]},  # First call: just 0
-            {"value": 1, "history": [0, 1]},  # Second call: 1 + previous (0)
-            {"value": 3, "history": [0, 1, 2]},  # Third call: 2 + previous (0 + 1)
-        ]
-        assert result.value == expected
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/types.py b/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/types.py
deleted file mode 100644
index d62ea1d2..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/types.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from typing import Any, Callable, Dict, Union
-
-from skill_library.routine_runners.program_routine_runner.function_cache import FunctionCache
-
-ProgramLoggerType = Callable[[str], None]
-
-
-class ReturnValue:
-    """Wrapper class for return values from executed functions."""
-
-    def __init__(self, value: Any):
-        self.value = value
-
-
-class PausedExecution(Exception):
-    """Exception to indicate execution pause for unknown functions."""
-
-    def __init__(self, func_name: str, args: tuple, kwargs: Dict[str, Any]) -> None:
-        self.func_name = func_name
-        self.args = args
-        self.kwargs = kwargs
-        self.cache_key = FunctionCache.get_cache_key(args, kwargs)
-
-
-ReturnResult = Union[ReturnValue, PausedExecution]
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/utils.py b/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/utils.py
deleted file mode 100644
index c9526a6c..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/program_routine_runner/utils.py
+++ /dev/null
@@ -1,8 +0,0 @@
-import inspect
-from textwrap import dedent
-from typing import Callable
-
-
-def get_function_source(func: Callable) -> str:
-    """Get the source code of a function."""
-    return dedent(inspect.getsource(func))
diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/state_machine_routine_runner.py b/libraries/python/skills/skill-library/skill_library/routine_runners/state_machine_routine_runner.py
deleted file mode 100644
index d585151e..00000000
--- a/libraries/python/skills/skill-library/skill_library/routine_runners/state_machine_routine_runner.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from ..routine import StateMachineRoutine
-from ..run_context import RunContext
-
-
-class StateMachineRoutineRunner:
-    def __init__(self) -> None:
-        pass
-
-    async def run(
-        self, context: RunContext, routine: StateMachineRoutine, *args: Any, **kwargs: Any
-    ) -> tuple[bool, Any]:
-        return await routine.init_function(context, *args, **kwargs)
-
-    async def next(self, context: RunContext, routine: StateMachineRoutine, message: str) -> tuple[bool, Any]:
-        """
-        Run the next step in the current routine.
-        """
-        return await routine.step_function(context, message)
diff --git a/libraries/python/skills/skill-library/skill_library/routine_stack.py b/libraries/python/skills/skill-library/skill_library/routine_stack.py
index d3de4002..30ef866d 100644
--- a/libraries/python/skills/skill-library/skill_library/routine_stack.py
+++ b/libraries/python/skills/skill-library/skill_library/routine_stack.py
@@ -1,4 +1,7 @@
-from typing import Any, List
+# skill_library/routine_stack.py
+
+from contextlib import asynccontextmanager
+from typing import Any, AsyncGenerator, List
 from uuid import uuid4
 
 from assistant_drive import Drive, IfDriveFileExistsBehavior
@@ -22,6 +25,29 @@ class RoutineStackData(BaseModel):
 
 
 class RoutineStack:
+    """
+    Manages state for nested routines.
+
+    The RoutineStack provides routines with isolated state storage as they run,
+    allowing nested routines to maintain their own state without interfering
+    with each other. Each routine execution gets a frame on the stack that
+    contains:
+
+    - The routine's name for tracking
+    - A state dictionary that the routine can use to store data between steps
+
+    The stack behaves like a traditional call stack:
+
+    - push() creates a new frame when a routine starts
+    - pop() removes the frame when the routine completes
+    - peek() allows checking the current frame
+    - get/set_current_state provide access to the current routine's state
+
+    State is persisted between messages/steps in the conversation, allowing
+    routines to maintain context even when paused waiting for user input. When
+    routines call other routines, each gets its own isolated state frame.
+    """
+
     def __init__(self, drive: Drive):
         self.drive = drive
 
@@ -99,3 +125,21 @@ async def length(self) -> int:
 
     async def string(self) -> str:
         return str([f"{frame.name}.{frame.id}" for frame in await self.get()])
+
+    @asynccontextmanager
+    async def stack_frame_state(self) -> AsyncGenerator[dict[str, Any], None]:
+        """
+        A context manager that allows you to get and set the state of the
+        current routine being run. This is useful for storing and retrieving
+        information that is needed across multiple steps of a routine.
+
+        Example:
+
+        ```
+        async with context.stack_frame_state() as state:
+            state["key"] = "value"
+        ```
+        """
+        state = await self.get_current_state()
+        yield state
+        await self.set_current_state(state)
diff --git a/libraries/python/skills/skill-library/skill_library/run_context.py b/libraries/python/skills/skill-library/skill_library/run_context.py
deleted file mode 100644
index 6965c983..00000000
--- a/libraries/python/skills/skill-library/skill_library/run_context.py
+++ /dev/null
@@ -1,114 +0,0 @@
-import logging
-from contextlib import asynccontextmanager
-from typing import Any, AsyncGenerator, Awaitable, Callable, Concatenate, Optional, ParamSpec, Protocol
-from uuid import uuid4
-
-from assistant_drive import Drive
-from events.events import EventProtocol
-from semantic_workbench_api_model.workbench_model import ConversationMessageList
-
-from .routine_stack import RoutineStack
-
-
-class LogEmitter:
-    """A simple event emitter that logs the event to the console. This will be
-    what is used unless a different emitter is provided."""
-
-    def emit(self, event: EventProtocol) -> None:
-        logging.info(event.to_json())
-
-
-async def unimplemented_routine_runner(routine_name: str, *args: Any, **kwargs: Any) -> None:
-    """A runner that logs a message when a routine has not been implemented."""
-    logging.info("Routine runner has not been implemented.")
-
-
-async def unimplemented_action_runner(action_name: str, *args: Any, **kwargs: Any) -> None:
-    """A runner that logs a message when a routine has not been implemented."""
-    logging.info("Action runner has not been implemented.")
-
-
-# A typing spec for *args, **kwargs, used in run_action and run_routine sigs.
-P = ParamSpec("P")
-
-
-class RunContext:
-    """
-    "Run context" is passed to parts of the system (skill routines and
-    actions, and chat driver functions) that need to be able to run routines or
-    actions, set assistant state, or emit messages from the assistant.
-    """
-
-    def __init__(
-        self,
-        session_id: str,
-        assistant_drive: Drive,
-        conversation_history: Callable[[], Awaitable[ConversationMessageList]],
-        emit: Optional[Callable[[EventProtocol], None]],
-        routine_stack: RoutineStack,
-        run_action: Callable[Concatenate[str, P], Awaitable[Any]],
-        run_routine: Callable[Concatenate[str, P], Awaitable[Any]],
-    ) -> None:
-        # A session id is useful for maintaining consistent session state across all
-        # consumers of this context. For example, a session id can be set in an
-        # assistant and all functions called by that assistant can should receive
-        # this same context object to know which session is being used.
-        self.session_id: str = session_id or str(uuid4())
-
-        # The assistant drive is a drive object that can be used to read and
-        # write files to a particular location. The assistant drive should be
-        # used for assistant-specific data and not for general data storage.
-        self.assistant_drive: Drive = assistant_drive
-
-        # The conversation history function is a function that can be called to
-        # get the conversation history for the current session. This is useful
-        # for routines that need to know what has been said in the conversation
-        # so far. Usage: `await run_context.conversation_history()`
-        self.conversation_history = conversation_history
-
-        # A "run" is a particular series of calls within a session. The initial call will
-        # set the run id and all subsequent calls will use the same run id. This is useful
-        # for logging, metrics, and debugging.
-        self.run_id: str | None = str(uuid4())
-
-        # The emit function is used to send events to the event bus. The component
-        # that creates this context object will be responsible for instantiating an
-        # event bus and handling the events sent to it with this function.
-        self.emit = emit or LogEmitter().emit
-
-        self.run_routine = run_routine or unimplemented_routine_runner
-        self.run_action = run_action or unimplemented_action_runner
-
-        # Helper functions for managing state of the current routine being run.
-        self.get_state = routine_stack.get_current_state
-        self.get_state_key = routine_stack.get_current_state_key
-        self.set_state = routine_stack.set_current_state
-        self.set_state_key = routine_stack.set_current_state_key
-
-    @asynccontextmanager
-    async def stack_frame_state(self) -> AsyncGenerator[dict[str, Any], None]:
-        """
-        A context manager that allows you to get and set the state of the
-        current routine being run. This is useful for storing and retrieving
-        information that is needed across multiple steps of a routine.
-
-        Example:
-
-        ```
-        async with context.stack_frame_state() as state:
-            state["key"] = "value"
-        ```
-        """
-        state = await self.get_state()
-        yield state
-        await self.set_state(state)
-
-
-class RunContextProvider(Protocol):
-    """
-    A provider of a run context must have this method. When called, it will
-    return a run context. This is used by skill routines and actions to have
-    access to all the things they need for running.
-    """
-
-    def create_run_context(self) -> RunContext: ...
diff --git a/libraries/python/skills/skill-library/skill_library/skill.py b/libraries/python/skills/skill-library/skill_library/skill.py
index 1a37c207..bed179ca 100644
--- a/libraries/python/skills/skill-library/skill_library/skill.py
+++ b/libraries/python/skills/skill-library/skill_library/skill.py
@@ -1,142 +1,136 @@
-import logging
-from typing import Any, Callable, Type
+import importlib
+import importlib.util
+import sys
+from pathlib import Path
+from typing import Any, Protocol, runtime_checkable
 
-from attr import dataclass
-from events import BaseEvent, EventProtocol
-from openai.types.chat.completion_create_params import ResponseFormat
-from openai_client.chat_driver import ChatDriver, ChatDriverConfig
-from openai_client.completion import TEXT_RESPONSE_FORMAT
+from pydantic import BaseModel
 
-from .actions import Action, Actions
-from .routine import RoutineTypes
-from .run_context import RunContextProvider
+from skill_library.types import AskUserFn, EmitFn, RunContext, RunRoutineFn
 
-EmitterType = Callable[[EventProtocol], None]
+from .logging import extra_data, logger
 
 
-def log_emitter(event: EventProtocol) -> None:
-    logging.info(event)
-
+@runtime_checkable
+class RoutineFn(Protocol):
+    async def __call__(
+        self,
+        context: RunContext,
+        routine_state: dict[str, Any],
+        emit: EmitFn,
+        run: RunRoutineFn,
+        ask_user: AskUserFn,
+        *args: Any,
+        **kwargs: Any,
+    ) -> Any: ...
 
-@dataclass
-class SkillDefinition:
-    """
-    A skill definition is a blueprint for instantiating a skill. Because skills
-    may be dependent on one another, _ALL_ skills that an assistant uses should
-    be defined and passed to the skill registry for initialization at the same
-    time. The skill registry will use these definitions to instantiate instances
-    of the skills.
 
-    These four attributes are required for every skill definition, however,
-    additional attributes can be added by extending this class.
-    """
+class SkillConfig(BaseModel):
+    """Base configuration that all skill configs inherit from"""
 
     name: str
 
-    # The class of the skill. This is used to instantiate the skill.
-    skill_class: Type["Skill"]
+    class Config:
+        arbitrary_types_allowed = True
 
-    # A description of the skill. In the future, this will be used to advertise
-    # available skills for usage.
-    description: str
 
-    # Skills, optionally, may have a natural language interface (currently used
-    # by Instructuion routines). If you don't need your skill to be used that
-    # way, though, you don't need to have a chat driver attached.
-    chat_driver_config: ChatDriverConfig | None
+class SkillProtocol(Protocol):
+    """Base protocol that all skills must implement"""
 
+    config: SkillConfig
+    _routines: dict[str, RoutineFn]
 
-class Skill:
-    """
-    Skills come with actions, routines, and, optionally, a conversational
-    interface. Skills can be registered to assistants.
-    """
 
-    def __init__(
-        self,
-        skill_definition: SkillDefinition,
-        run_context_provider: RunContextProvider,
-        actions: list[Callable] = [],  # Functions to be registered as skill actions.
-        routines: list[RoutineTypes] = [],
-    ) -> None:
-        # A skill should have a short name so that user commands can be routed
-        # to them efficiently.
-        self.name = skill_definition.name
-        self.description = skill_definition.description
-        self.routines: dict[str, RoutineTypes] = {routine.name: routine for routine in routines}
-
-        # If a chat driver is provided, it will be used to respond to
-        # conversational messages sent to the skill. Not all skills need to have
-        # a chat driver. No functions will be automatically registered to the
-        # chat driver.
-        self.chat_driver = (
-            ChatDriver(skill_definition.chat_driver_config) if skill_definition.chat_driver_config else None
-        )
-
-        # Register all provided actions with the action registry.
-        self.action_registry = Actions(run_context_provider)
-        self.action_registry.add_functions(actions)
-
-        # Make actions available to be called as attributes from the skill
-        # directly.
-        self.actions = self.action_registry.functions
-
-        # Actions and routines can get a RunContext whenever they want.
-        self.run_context_provider = run_context_provider
-
-    async def respond(
-        self,
-        message: str,
-        response_format: ResponseFormat = TEXT_RESPONSE_FORMAT,
-        instruction_parameters: dict[str, Any] | None = None,
-    ) -> BaseEvent:
-        """
-        Respond to a user message if the skill has a chat driver.
-        """
-        if not self.chat_driver:
-            raise ValueError("No assistant found for this skill to use for responding.")
-        return await self.chat_driver.respond(
-            message,
-            response_format=response_format,
-            instruction_parameters=instruction_parameters,
-        )
-
-    def get_actions(self) -> list[Callable]:
-        return [function.fn for function in self.action_registry.get_actions()]
-
-    def get_action(self, name: str) -> Action | None:
-        return self.action_registry.get_action(name)
-
-    def list_actions(self) -> list[str]:
-        return [action.name for action in self.action_registry.get_actions()]
-
-    def add_routine(self, routine: RoutineTypes) -> None:
-        """
-        Add a routine to the skill.
-        """
-        self.routines[routine.name] = routine
-
-    def get_routine(self, name: str) -> RoutineTypes | None:
-        """
-        Get a routine by name.
-        """
-        return self.routines.get(name)
-
-    def get_routines(self) -> list[RoutineTypes]:
-        """
-        Return a list of routines.
-        """
-        return [routine for routine in self.routines.values()]
+class Skill:
+    def __init__(self, config: SkillConfig):
+        self.config = config
+        self._routines: dict[str, RoutineFn] = {}
+        self._package_path: Path | None = None
+        self._package_name: str | None = None
+
+        # Store package info during initialization
+        module = sys.modules[self.__class__.__module__]
+        self._package_name = module.__package__ or module.__name__
+        logger.info(f"Discovering skills in package: {self._package_name}")
+
+        # For library skills, we can use the module's __file__ attribute
+        module_file = getattr(module, "__file__", None)
+        if module_file is not None:
+            self._package_path = Path(module_file).parent
+        else:
+            # Fallback to find_spec for other cases
+            spec = importlib.util.find_spec(self._package_name)
+            if not spec or not spec.origin:
+                raise ValueError(f"Could not find package path for {self._package_name}")
+            self._package_path = Path(spec.origin).parent
+
+        # Initial load of routines
+        self._load_routines()
+
+    def _load_routines(self) -> None:
+        """Load all routines from the routines directory"""
+        if not self._package_path:
+            raise ValueError("Package path not initialized")
+
+        self._routines.clear()
+        routines_path = self._package_path / "routines"
+
+        if routines_path.exists():
+            for file in routines_path.glob("*.py"):
+                if file.name == "__init__.py":
+                    continue
+                routine_name = file.stem
+                self._load_routine(routine_name)
+
+    def _load_routine(self, routine_name: str) -> None:
+        """Load a specific routine module"""
+        if not self._package_name:
+            raise ValueError("Package name not initialized")
+
+        # Remove the old module if it exists
+        module_name = f"{self._package_name}.routines.{routine_name}"
+        if module_name in sys.modules:
+            del sys.modules[module_name]
+
+        try:
+            # Import the module fresh
+            routine_module = importlib.import_module(module_name)
+
+            # Force reload to get latest changes
+            importlib.reload(routine_module)
+
+            if hasattr(routine_module, "main"):
+                routine = routine_module.main
+                if isinstance(routine, RoutineFn):
+                    self.register_routine(routine_name, routine)
+                else:
+                    routine_function_attrs = [attr for attr in dir(RoutineFn) if not attr.startswith("_")]
+                    routine_attrs = [attr for attr in dir(routine) if not attr.startswith("_")]
+                    raise ValueError(
+                        f"Routine {routine_name} 'main' is not a RoutineFn. "
+                        f"Expected attributes: {routine_function_attrs}, Found: {routine_attrs}"
+                    )
+            else:
+                logger.warning(
+                    "Routine module skipped. Routine has no `main` function.",
+                    extra_data({"routine_name": routine_name}),
+                )
+        except Exception as e:
+            logger.error(
+                f"Error loading routine {routine_name}: {str(e)}",
+                extra_data({"routine_name": routine_name, "error": str(e)}),
+            )
+            raise
+
+    def register_routine(self, name: str, fn: RoutineFn) -> None:
+        self._routines[name] = fn
+
+    def get_routine(self, name: str) -> RoutineFn | None:
+        """Get a routine, reloading it first to ensure latest version"""
+        if name in self._routines:
+            self._load_routine(name)  # Reload the routine
+        return self._routines.get(name)
 
     def list_routines(self) -> list[str]:
-        """Return a list of routine names."""
-        return [str(routine) for routine in self.routines.values()]
-
-    def has_routine(self, name: str) -> bool:
-        return name in self.routines
-
-    def __str__(self) -> str:
-        return f"{self.name} - {self.description}"
-
-    def __repr__(self) -> str:
-        return f"{self.name} - {self.description}"
+        """Return list of available routine names"""
+        return list(self._routines.keys())
diff --git a/libraries/python/skills/skill-library/skill_library/skill_registry.py b/libraries/python/skills/skill-library/skill_library/skill_registry.py
deleted file mode 100644
index 21e7a70b..00000000
--- a/libraries/python/skills/skill-library/skill_library/skill_registry.py
+++ /dev/null
@@ -1,251 +0,0 @@
-import importlib
-import os
-from typing import Any
-
-from skill_library.actions import Action
-from skill_library.routine_runners.action_list_routine_runner import ActionListRoutineRunner
-
-from .routine import ActionListRoutine, InstructionRoutine, ProgramRoutine, RoutineTypes, StateMachineRoutine
-from .routine_runners import InstructionRoutineRunner, ProgramRoutineRunner, StateMachineRoutineRunner
-from .routine_stack import RoutineStack
-from .run_context import RunContext, RunContextProvider
-from .skill import Skill, SkillDefinition
-
-
-class SkillRegistry:
-    """
-    A skill registry is a collection of skills that an assistant uses. When a
-    skill is added, its dependencies are also added.
-    """
-
-    def __init__(
-        self,
-        skills: list[SkillDefinition],
-        run_context_provider: RunContextProvider,
-        routine_stack: RoutineStack,
-    ) -> None:
-        # self.global_skill_registry = GlobalSkillRegistry()
-
-        # Note: We give each skill a reference to the run context provider so
-        # that it can optionally use it to create Chat Driver methods for a
-        # natural language interface. This supports Instruction routines.
-        self.skills = {
-            skill_definition.name: skill_definition.skill_class(skill_definition, run_context_provider)
-            for skill_definition in skills
-        }
-        self.run_context_provider = run_context_provider
-        self.routine_stack = routine_stack
-
-    def get_skill(self, skill_name: str) -> Skill | None:
-        return self.skills.get(skill_name)
-
-    ######################################
-    # Actions
-    ######################################
-
-    def list_actions(self, include_usage: bool = False) -> list[str]:
-        """
-        List all namespaced function names available in the skill registry.
-        """
-        actions = []
-        for skill_name, skill in self.skills.items():
-            for action in skill.action_registry.get_actions():
-                if include_usage:
-                    actions.append(f"{skill_name}.{action.usage()}")
-                else:
-                    actions.append(f"{skill_name}.{action.name}")
-
-        return actions
-
-    def get_action_by_designation(self, designation: str) -> Action | None:
-        """
-        Get a routine by <skill>.<routine> designation.
-        """
-        skill_name, action_name = designation.split(".")
-        skill = self.get_skill(skill_name)
-        if not skill:
-            return None
-        return skill.get_action(action_name)
-
-    async def run_action_by_designation(
-        self, run_context: RunContext, designation: str, *args: Any, **kwargs: Any
-    ) -> Any:
-        """
-        Run an action by designation (<skill_name>.<action_name>).
-        """
-        skill_name, action_name = designation.split(".")
-        skill = self.get_skill(skill_name)
-        if not skill:
-            raise ValueError(f"Skill {skill_name} not found.")
-        action = skill.get_action(action_name)
-        if not action:
-            raise ValueError(f"Action {action_name} not found in skill {skill_name}.")
-        response = await action.execute(run_context, *args, **kwargs)
-        return response
-
-    ######################################
-    # Routines
-    ######################################
-
-    def list_routines(self) -> list[str]:
-        """
-        List all namespaced routine names available in the skill registry.
-        """
-        routines = []
-        for skill_name, skill in self.skills.items():
-            routines += [f"{skill_name}.{routine}" for routine in skill.list_routines()]
-        return routines
-
-    def has_routine(self, designation: str) -> bool:
-        """
-        Check if a routine exists in the skill registry.
-        """
-        skill_name, routine = designation.split(".")
-        skill = self.get_skill(skill_name)
-        if not skill:
-            return False
-        return skill.has_routine(routine)
-
-    def get_routine_by_designation(self, designation: str) -> RoutineTypes | None:
-        """
-        Get a routine by <skill>.<routine> designation.
-        """
-        skill_name, routine_name = designation.split(".")
-        skill = self.get_skill(skill_name)
-        if not skill:
-            return None
-        return skill.get_routine(routine_name)
-
-    async def run_routine_by_designation(
-        self, run_context: RunContext, designation: str, *args: Any, **kwargs: Any
-    ) -> Any:
-        """
-        Run an assistant routine by designation (<skill_name>.<routine_name>).
-        """
-        routine = self.get_routine_by_designation(designation)
-        if not routine:
-            raise ValueError(f"Routine {designation} not found.")
-        response = await self.run_routine(run_context, routine, *args, **kwargs)
-        return response
-
-    async def run_routine(self, run_context: RunContext, routine: RoutineTypes, *args: Any, **kwargs: Any) -> Any:
-        """
-        Run an assistant routine. This is going to be much of the magic of the
-        assistant. Currently, is just runs through the steps of a routine, but
-        this will get much more sophisticated. It will need to handle
-        configuration, managing results of steps, handling errors and retries,
-        etc. ALso, this is where we will put meta-cognitive functions such as
-        having the assistant create a plan from the routine and executing it
-        dynamically while monitoring progress. name =
-        <skill_name>.<routine_name>
-        """
-
-        # TODO: Different types of routines have different run signature
-        # behavior. For example, the instruction routine needs template vars
-        # passed in and that's probably all. The state machine routine, otoh,
-        # needs to be initialized and then stepped through and the functions
-        # need arg/kwarg parameters.
-
-        # We'll need a way to map the args/kwargs to the run_routine function
-        # signature so a user can get help/usage and the assistant routine
-        # builder knows how to use them.
-
-        await self.routine_stack.push(routine.fullname())
-        match routine:
-            case ActionListRoutine():
-                runner = ActionListRoutineRunner()
-                done, output = await runner.run(run_context, routine, *args, **kwargs)
-            case InstructionRoutine():
-                skill = self.get_skill(routine.skill_name)
-                if not skill:
-                    raise ValueError(f"Skill {routine.skill_name} not found.")
-                if skill.chat_driver is None:
-                    raise ValueError(f"Skill {skill.name} needs a chat driver to run an instruction routine.")
-                respond_function = skill.respond
-                runner = InstructionRoutineRunner(respond_function)
-                done, output = await runner.run(run_context, routine, *args, **kwargs)
-            case ProgramRoutine():
-                runner = ProgramRoutineRunner()
-                done, output = await runner.start(run_context, routine, *args, **kwargs)
-            case StateMachineRoutine():
-                runner = StateMachineRoutineRunner()
-                done, output = await runner.run(run_context, routine, *args, **kwargs)
-            case _:
-                raise ValueError(f"Routine type {type(routine)} not supported.")
-        if done:
-            _ = await self.routine_stack.pop()
-            return output
-
-    async def step_active_routine(self, run_context: RunContext, message: str) -> None:
-        """Run another step in the current routine."""
-        routine_frame = await self.routine_stack.peek()
-        if not routine_frame:
-            raise ValueError("No routine to run.")
-
-        routine = self.get_routine_by_designation(routine_frame.name)
-        if not routine:
-            raise ValueError(f"Routine {routine_frame.name} not found.")
-
-        match routine:
-            case ActionListRoutine():
-                runner = ActionListRoutineRunner()
-                done, output = await runner.next(run_context, routine, message)
-            case InstructionRoutine():
-                # Instruction routines work by passing each line of the routine
-                # to to the routine's skill's response function. This means any
-                # skill that has an instruction routine needs to have a chat
-                # driver.
-                skill = self.get_skill(routine.skill_name)
-                if not skill:
-                    raise ValueError(f"Skill {routine.skill_name} not found.")
-                if skill.chat_driver is None:
-                    raise ValueError(f"Skill {skill.name} needs a chat driver to run an instruction routine.")
-                respond_function = skill.respond
-                runner = InstructionRoutineRunner(respond_function)
-                done, output = await runner.next(run_context, routine, message)
-            case ProgramRoutine():
-                runner = ProgramRoutineRunner()
-                done, output = await runner.resume(run_context, message)
-            case StateMachineRoutine():
-                runner = StateMachineRoutineRunner()
-                done, output = await runner.next(run_context, routine, message)
-
-        if done:
-            await self.routine_stack.pop()
-            return output
-
-
-SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))
-SKILLS_DIR = os.path.join(SCRIPT_DIR, "skills")
-
-
-class GlobalSkillRegistry:
-    """
-    A global skill registry is a collection of all skills that an agent can
-    use. All skills in the skills directory are registered in the global skill
-    registry. Custom skills can be added to the skills directory.
-    """
-
-    def __init__(self):
-        self.skills = {}
-
-        # Register all skills in the skills directory.
-        for skill_name in os.listdir(SKILLS_DIR):
-            skill_module = importlib.import_module(f".skills.{skill_name}")
-            skill_class = getattr(skill_module, "CLASS_NAME" or skill_name.title() + "Skill")
-            if not skill_class:
-                raise ValueError(f"Skill class not found in skill module {skill_module}.")
-            skill = skill_class()
-            self.register_skill(skill)
-
-    def register_skill(self, skill) -> None:
-        self.skills[skill.name] = skill
-
-    def get_skill(self, skill_name) -> Skill:
-        return self.skills[skill_name]
-
-    def get_skills(self) -> dict[Any, Any]:
-        return self.skills
-
-    def has_skill(self, skill_name) -> bool:
-        return skill_name in self.skills
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/__init__.py b/libraries/python/skills/skill-library/skill_library/skills/common/__init__.py
new file mode 100644
index 00000000..afa07b08
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/__init__.py
@@ -0,0 +1,3 @@
+from .common_skill import CommonSkill
+
+__all__ = ["CommonSkill"]
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/common_skill.py b/libraries/python/skills/skill-library/skill_library/skills/common/common_skill.py
new file mode 100644
index 00000000..589e22e6
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/common_skill.py
@@ -0,0 +1,16 @@
+from assistant_drive import Drive
+from skill_library import LanguageModel, Skill, SkillConfig
+
+
+class CommonSkillConfig(SkillConfig):
+    """Configuration for the common skill"""
+
+    language_model: LanguageModel
+    drive: Drive
+
+
+class CommonSkill(Skill):
+    config: CommonSkillConfig
+
+    def __init__(self, config: CommonSkillConfig):
+        super().__init__(config)
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/answer_question_about_content.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/answer_question_about_content.py
new file mode 100644
index 00000000..66c36ea1
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/answer_question_about_content.py
@@ -0,0 +1,76 @@
+from typing import Any, Optional, cast
+
+from openai_client import (
+    CompletionError,
+    create_system_message,
+    create_user_message,
+    extra_data,
+    make_completion_args_serializable,
+    validate_completion,
+)
+from pydantic import BaseModel
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.logging import logger
+from skill_library.skills.common import CommonSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    content: str,
+    question: str,
+    max_length: Optional[int] = None,
+) -> str:
+    """
+    Generate an answer to a question from the provided content.
+    """
+    common_skill = cast(CommonSkill, context.skills["common"])
+    language_model = common_skill.config.language_model
+
+    class Output(BaseModel):
+        reasoning: str
+        answer: str
+
+    completion_args = {
+        "model": "gpt-4o",
+        "messages": [
+            create_system_message(
+                (
+                    "You are an expert in the field and hold a piece of content you are answering questions on. When the user asks a question, provide a detailed answer based solely on your content. Reason through the content to identify relevant information and structure your answer in a clear and concise manner. If the content does not contain the answer, provide a response indicating that the information is not available."
+                    "\n\nTHE CONTENT:\n\n"
+                    f"{content}"
+                ),
+            ),
+            create_user_message(
+                f"Question: {question}",
+            ),
+        ],
+        "response_format": Output,
+    }
+    if max_length:
+        completion_args["max_tokens"] = max_length
+
+    logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args)))
+    context.log({"completion_args": make_completion_args_serializable(completion_args)})
+    try:
+        completion = await language_model.beta.chat.completions.parse(
+            **completion_args,
+        )
+        validate_completion(completion)
+        logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()}))
+        context.log({"completion": completion.model_dump()})
+    except Exception as e:
+        completion_error = CompletionError(e)
+        context.log({"completion_error": completion_error.message})
+        logger.error(
+            completion_error.message,
+            extra=extra_data({"completion_error": completion_error.body, "metadata": context.metadata_log}),
+        )
+        raise completion_error from e
+    else:
+        research_questions = cast(Output, completion.choices[0].message.parsed).answer
+        context.log({"research_questions": research_questions})
+        return research_questions
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/bing_search.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/bing_search.py
new file mode 100644
index 00000000..7fbb729d
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/bing_search.py
@@ -0,0 +1,36 @@
+import os
+from typing import Any, Optional
+
+import requests
+from dotenv import load_dotenv
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    q: str,
+    num_results: Optional[int] = 7,
+) -> list[str]:
+    """Search Bing with the given query, return the first num_results URLs."""
+
+    load_dotenv()
+    subscription_key = os.getenv("BING_SEARCH_SUBSCRIPTION_KEY")
+    if not subscription_key:
+        raise Exception("BING_SEARCH_SUBSCRIPTION_KEY not found in .env.")
+    search_url = "https://api.bing.microsoft.com/v7.0/search"
+    headers = {"Ocp-Apim-Subscription-Key": subscription_key}
+    params = {"q": q}
+    response = requests.get(search_url, headers=headers, params=params)
+    response.raise_for_status()
+    search_results = response.json()
+    values = search_results.get("webPages", {}).get("value", "")
+    urls = [str(v["url"]) for v in values]
+
+    if num_results:
+        urls = urls[:num_results]
+
+    return urls
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/echo.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/echo.py
new file mode 100644
index 00000000..e5dec072
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/echo.py
@@ -0,0 +1,20 @@
+"""
+web research skill
+"""
+
+from typing import Any
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+) -> str:
+    await ask_user("What do you want to echo?")
+    history = (await context.conversation_history()).messages
+    message = history[-1].content
+    return message
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/evaluate_answer.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/evaluate_answer.py
new file mode 100644
index 00000000..0077564a
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/evaluate_answer.py
@@ -0,0 +1,68 @@
+from typing import Any, cast
+
+from openai_client import (
+    CompletionError,
+    create_system_message,
+    create_user_message,
+    extra_data,
+    make_completion_args_serializable,
+    validate_completion,
+)
+from pydantic import BaseModel
+from skill_library import AskUserFn, EmitFn, Metadata, RunContext, RunRoutineFn
+from skill_library.logging import logger
+from skill_library.skills.common import CommonSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    question: str,
+    answer: str,
+) -> tuple[bool, Metadata]:
+    """Decide whether an answer actually answers a question well, and return a reason why."""
+
+    common_skill = cast(CommonSkill, context.skills["common"])
+    language_model = common_skill.config.language_model
+
+    class Output(BaseModel):
+        reasoning: str
+        is_good_answer: bool
+
+    completion_args = {
+        "model": "gpt-4o",
+        "messages": [
+            create_system_message(
+                (
+                    "Given a question and and an answer, reason through whether or not the answer actually answers the question. Return your reasoning and whether or not the answer is a good answer as JSON."
+                )
+            ),
+            create_user_message((f"The question: {question}\n\bThe answer: {answer}\n\n")),
+        ],
+        "response_format": Output,
+    }
+
+    metadata = {}
+    logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args)))
+    metadata["completion_args"] = make_completion_args_serializable(completion_args)
+    try:
+        completion = await language_model.beta.chat.completions.parse(
+            **completion_args,
+        )
+        validate_completion(completion)
+        logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()}))
+        metadata["completion"] = completion.model_dump()
+    except Exception as e:
+        completion_error = CompletionError(e)
+        metadata["completion_error"] = completion_error.message
+        logger.error(
+            completion_error.message,
+            extra=extra_data({"completion_error": completion_error.body, "metadata": metadata}),
+        )
+        raise completion_error from e
+    else:
+        response: Output = cast(Output, completion.choices[0].message.parsed)
+        return response.is_good_answer, metadata
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/execute_research_plan.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/execute_research_plan.py
new file mode 100644
index 00000000..ec2722da
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/execute_research_plan.py
@@ -0,0 +1,16 @@
+from typing import Any
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+):
+    """
+    Execute a research plan by following the steps outlined in the plan.
+    """
+    pass
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/gather_context.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/gather_context.py
new file mode 100644
index 00000000..ec2722da
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/gather_context.py
@@ -0,0 +1,16 @@
+from typing import Any
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+):
+    """
+    Execute a research plan by following the steps outlined in the plan.
+    """
+    pass
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/generate_research_plan.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/generate_research_plan.py
new file mode 100644
index 00000000..1739fdc0
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/generate_research_plan.py
@@ -0,0 +1,65 @@
+from typing import Any, cast
+
+from openai_client import (
+    CompletionError,
+    create_system_message,
+    create_user_message,
+    extra_data,
+    make_completion_args_serializable,
+    validate_completion,
+)
+from pydantic import BaseModel
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.logging import logger
+from skill_library.skills.common import CommonSkill
+from skill_library.types import Metadata
+
+
+async def main(
+    context: RunContext, routine_state: dict[str, Any], emit: EmitFn, run: RunRoutineFn, ask_user: AskUserFn, topic: str
+) -> tuple[list[str], Metadata]:
+    """
+    Generate a research plan on a given topic. The plan will consist of a set of
+    research questions to be answered.
+    """
+    common_skill = cast(CommonSkill, context.skills["common"])
+    language_model = common_skill.config.language_model
+
+    class Output(BaseModel):
+        reasoning: str
+        research_questions: list[str]
+
+    completion_args = {
+        "model": "gpt-4o",
+        "messages": [
+            create_system_message(
+                "You are an expert research assistant. For any given topic, carefully analyze it to identify core, tangential, and nuanced areas requiring exploration. Approach the topic methodically, breaking it down into its fundamental aspects, associated themes, and interconnections. Thoroughly think through the subject step by step and aim to create a comprehensive set of research questions.",
+            ),
+            create_user_message(
+                f"Topic: {topic}",
+            ),
+        ],
+        "response_format": Output,
+    }
+
+    metadata = {}
+    logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args)))
+    metadata["completion_args"] = make_completion_args_serializable(completion_args)
+    try:
+        completion = await language_model.beta.chat.completions.parse(
+            **completion_args,
+        )
+        validate_completion(completion)
+        logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()}))
+        metadata["completion"] = completion.model_dump()
+    except Exception as e:
+        completion_error = CompletionError(e)
+        metadata["completion_error"] = completion_error.message
+        logger.error(
+            completion_error.message,
+            extra=extra_data({"completion_error": completion_error.body, "metadata": metadata}),
+        )
+        raise completion_error from e
+    else:
+        research_questions = cast(Output, completion.choices[0].message.parsed).research_questions
+        return research_questions, metadata
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/generate_routine.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/generate_routine.py
new file mode 100644
index 00000000..abbb0e44
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/generate_routine.py
@@ -0,0 +1,105 @@
+from typing import Any, cast
+
+from openai_client import (
+    CompletionError,
+    create_system_message,
+    create_user_message,
+    extra_data,
+    make_completion_args_serializable,
+    message_content_from_completion,
+    validate_completion,
+)
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.logging import logger
+from skill_library.skills.common import CommonSkill
+
+SYSTEM_PROMPT = """
+You are a part of an AGI system that generates routines to satisfy a specific goal. Routines are the building blocks of the AGI system and can be thought of as procedural knowledge. Routines can execute other routines, ask the user for input, and emit messages to the user. Routines can be used to perform a wide variety of tasks, such as generating text, answering questions, or performing calculations.
+
+Routine functions are put in a module and shipped as part of "skill" packages. Skills are Python packages that contain a set of routines. An AGI system can have multiple skills, each with its own set of routines. Skills are loaded into the AGI system at runtime and can be used to extend the capabilities of the system. Each skill has its own configuration, which is used to initialize the skill and its routines.
+
+Routine specification:
+
+A routine is a Python function that takes a RunContext, routine_state, emit, run, and ask_user as arguments. The function can return anything. Here's what the required arguments can be used for:
+
+- context: The context of the conversation. You can use this to get information about the user's goal and the current state of the conversation. The context has the following attributes:
+  - session_id: A unique identifier for the session. This is useful for tracking the conversation.
+  - run_id: A unique identifier for the run. This is useful for tracking the conversation.
+  - run_drive: A drive object that can be used to read and write files to a particular location. This is useful for storing data that needs to persist between sessions.
+  - skills: A dictionary of skills that are available to the routine. Each skill has a name and a function that can be used to run the skill.
+  - log(Metadata): A function that can be used to log metadata about the conversation. This is our primary logging mechanism. Metadata is a dictionary of key-value pairs (dict[str, Any]).
+- routine_state: A dictionary that can be used to store state between steps in the routine. This is useful for maintaining context between messages.
+- emit: A function that can be used to emit messages to the user. This is useful for asking the user for input or providing updates on the progress of the routine.
+- run: A function that can be used to run other routines. This is useful for breaking up a large routine into smaller, more manageable pieces. A list of all available routines is below.
+- ask_user: A function that can be used to ask the user for input. This is useful for getting information from the user that is needed to complete the routine.
+
+Available routines:
+
+{{routines}}
+
+Your job is to respond to a user's description of their goal by returning a routine that satisfies the goal. Respond with just the routine.
+
+Example:
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    another_arg: str,
+) -> str:
+
+    # Skills can be configured with arbitrary arguments. These can be used in the routine by referencing any skill instance from the context.
+    common_skill = cast(CommonSkill, context.skills["common"])
+    language_model = common_skill.language_model
+
+    ask_user("What is your name?")
+    run("common.", another_arg)
+"""
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    goal: str,
+) -> str:
+    """Generate a routine to satisfy a specific goal."""
+
+    common_skill = cast(CommonSkill, context.skills["common"])
+    language_model = common_skill.config.language_model
+
+    completion_args = {
+        "model": "gpt-4o",
+        "messages": [
+            create_system_message(SYSTEM_PROMPT),
+            create_user_message(
+                goal,
+            ),
+        ],
+    }
+
+    logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args)))
+    context.log({"completion_args": make_completion_args_serializable(completion_args)})
+    try:
+        completion = await language_model.beta.chat.completions.parse(
+            **completion_args,
+        )
+        validate_completion(completion)
+        logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()}))
+        context.log({"completion": completion.model_dump()})
+    except Exception as e:
+        completion_error = CompletionError(e)
+        context.log({"completion_error": completion_error.message})
+        logger.error(
+            completion_error.message,
+            extra=extra_data({"completion_error": completion_error.body, "metadata": context.metadata_log}),
+        )
+        raise completion_error from e
+    else:
+        search_query = message_content_from_completion(completion).strip().strip('"')
+        context.log({"search_query": search_query})
+        return search_query
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/generate_search_query.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/generate_search_query.py
new file mode 100644
index 00000000..96247ab4
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/generate_search_query.py
@@ -0,0 +1,74 @@
+from typing import Any, cast
+
+from openai_client import (
+    CompletionError,
+    create_system_message,
+    create_user_message,
+    extra_data,
+    make_completion_args_serializable,
+    message_content_from_completion,
+    validate_completion,
+)
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.logging import logger
+from skill_library.skills.common import CommonSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    search_description: str,
+    previous_searches: list[tuple[str, str]] | None = None,
+) -> str:
+    """Generate a search query from the search_description."""
+
+    common_skill = cast(CommonSkill, context.skills["common"])
+    language_model = common_skill.config.language_model
+
+    previous_searches_str = ""
+    if previous_searches:
+        previous_searches_str = "The previous search queries generated by the system were not good enough to satisfy the search description. Here are the previous search queries and the reasons why they weren't good enough. Use this information to generate a better search query.\n\n"
+
+        for search_query, reasoning in previous_searches:
+            previous_searches_str += f"Search query: {search_query}\nReasoning: {reasoning}\n"
+
+    user_message_str = f"Search description: {search_description}"
+    if previous_searches:
+        user_message_str += f"\n\n{previous_searches_str}"
+
+    completion_args = {
+        "model": "gpt-4o",
+        "messages": [
+            create_system_message(
+                "You are a part of an AGI system that searches for information. Take the user's description of what they want to search for and return an appropriate search query to use in Bing. Only the top three results will be used, so make the search query detailed. Respond with just the search query.",
+            ),
+            create_user_message(
+                user_message_str,
+            ),
+        ],
+    }
+
+    logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args)))
+    context.log({"completion_args": make_completion_args_serializable(completion_args)})
+    try:
+        completion = await language_model.beta.chat.completions.parse(
+            **completion_args,
+        )
+        validate_completion(completion)
+        logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()}))
+        context.log({"completion": completion.model_dump()})
+    except Exception as e:
+        completion_error = CompletionError(e)
+        context.log({"completion_error": completion_error.message})
+        logger.error(
+            completion_error.message,
+            extra=extra_data({"completion_error": completion_error.body, "metadata": context.metadata_log}),
+        )
+        raise completion_error from e
+    else:
+        search_query = message_content_from_completion(completion).strip().strip('"')
+        context.log({"search_query": search_query})
+        return search_query
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/get_content_from_url.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/get_content_from_url.py
new file mode 100644
index 00000000..962057d4
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/get_content_from_url.py
@@ -0,0 +1,31 @@
+from typing import Any
+
+import requests
+from bs4 import BeautifulSoup
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    url: str,
+    max_length: int | None = None,
+) -> str:
+    """Get the content from a webpage."""
+
+    try:
+        response = requests.get(url)
+        if response.status_code >= 200 and response.status_code < 300:
+            soup = BeautifulSoup(response.text, "html.parser")
+            content = soup.get_text(separator="\n", strip=True)
+            if max_length and len(content) > max_length:
+                return content[:max_length]
+            else:
+                return content
+        else:
+            return f"Error: `{response.status_code}`"
+    except Exception as e:
+        return f"Error: `{e}`"
diff --git a/libraries/python/skills/skills/common-skill/common_skill/actions/gpt_complete.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/gpt_complete.py
similarity index 78%
rename from libraries/python/skills/skills/common-skill/common_skill/actions/gpt_complete.py
rename to libraries/python/skills/skill-library/skill_library/skills/common/routines/gpt_complete.py
index 683eb214..f066919f 100644
--- a/libraries/python/skills/skills/common-skill/common_skill/actions/gpt_complete.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/gpt_complete.py
@@ -1,3 +1,5 @@
+from typing import Any, cast
+
 from openai_client import (
     CompletionError,
     create_system_message,
@@ -6,18 +8,23 @@
     message_content_from_completion,
     validate_completion,
 )
-from skill_library.types import LanguageModel, Metadata
-
-from ..logging import logger
+from skill_library import AskUserFn, EmitFn, Metadata, RunContext, RunRoutineFn
+from skill_library.logging import logger
+from skill_library.skills.common import CommonSkill
 
 
-async def gpt_complete(
-    language_model: LanguageModel,
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
     prompt: str,
 ) -> tuple[str, Metadata]:
     """Use the vast knowledge of GPT-4 completion using any prompt you provide. All information needed for the prompt should be in the prompt. No other context or content is available from anywhere other than this prompt. Don't refer to content outside the prompt. The prompt can be big. Returns the completion."""
 
-    # Use the language model to generate a response to the user.
+    common_skill = cast(CommonSkill, context.skills["common"])
+    language_model = common_skill.config.language_model
 
     completion_args = {
         "model": "gpt-4o",
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/select_user_intent.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/select_user_intent.py
new file mode 100644
index 00000000..43fa2062
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/select_user_intent.py
@@ -0,0 +1,75 @@
+import json
+from typing import Any, cast
+
+from openai_client import (
+    CompletionError,
+    create_system_message,
+    create_user_message,
+    extra_data,
+    make_completion_args_serializable,
+    validate_completion,
+)
+from pydantic import BaseModel
+from skill_library import AskUserFn, EmitFn, Metadata, RunContext, RunRoutineFn
+from skill_library.logging import logger
+from skill_library.skills.common import CommonSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    options: dict[str, str],
+) -> tuple[str, Metadata]:
+    """Select the user's intent from a set of options based on the conversation history."""
+
+    common_skill = cast(CommonSkill, context.skills["common"])
+    language_model = common_skill.config.language_model
+
+    class Output(BaseModel):
+        reasoning: str
+        intent: str
+
+    completion_args = {
+        "model": "gpt-4o",
+        "messages": [
+            create_system_message(
+                (
+                    "A conversation history is a valuable resource for understanding a user's intent. "
+                    "By analyzing the context of a conversation, you can identify the user's intent from a set of options. "
+                    "Consider the user's previous messages and the overall flow of the conversation to determine the most likely intent."
+                    "Select the user's intent from the following options:\n\n"
+                    f"{json.dumps(options)}\n\n"
+                    "Given a conversation history, reason through what the users intent is and return it the form of a JSON object with reasoning and intent fields."
+                )
+            ),
+            create_user_message(
+                f"The conversation: {(await context.conversation_history()).model_dump_json()}",
+            ),
+        ],
+        "response_format": Output,
+    }
+
+    metadata = {}
+    logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args)))
+    metadata["completion_args"] = make_completion_args_serializable(completion_args)
+    try:
+        completion = await language_model.beta.chat.completions.parse(
+            **completion_args,
+        )
+        validate_completion(completion)
+        logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()}))
+        metadata["completion"] = completion.model_dump()
+    except Exception as e:
+        completion_error = CompletionError(e)
+        metadata["completion_error"] = completion_error.message
+        logger.error(
+            completion_error.message,
+            extra=extra_data({"completion_error": completion_error.body, "metadata": metadata}),
+        )
+        raise completion_error from e
+    else:
+        intent = cast(Output, completion.choices[0].message.parsed).intent
+        return intent, metadata
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/summarize.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/summarize.py
new file mode 100644
index 00000000..f529cdcc
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/summarize.py
@@ -0,0 +1,68 @@
+from typing import Any, Optional, cast
+
+from openai_client import (
+    CompletionError,
+    create_system_message,
+    create_user_message,
+    extra_data,
+    make_completion_args_serializable,
+    message_content_from_completion,
+    validate_completion,
+)
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.logging import logger
+from skill_library.skills.common import CommonSkill
+
+DEFAULT_MAX_SUMMARY_LENGTH = 5000
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    content: str,
+    aspect: Optional[str] = None,
+    max_length: Optional[int] = DEFAULT_MAX_SUMMARY_LENGTH,
+) -> str:
+    """
+    Summarize the content from the given aspect. The content may be relevant or
+    not to a given aspect. If no aspect is provided, summarize the content as
+    is.
+    """
+    common_skill = cast(CommonSkill, context.skills["common"])
+    language_model = common_skill.config.language_model
+
+    system_message = "You are a summarizer. Your job is to summarize the content provided by the user."
+    if aspect:
+        system_message += f" Summarize the content only from this aspect: {aspect}"
+
+    completion_args = {
+        "model": "gpt-4o",
+        "messages": [
+            create_system_message(system_message),
+            create_user_message(content),
+        ],
+        "max_tokens": max_length,
+    }
+
+    logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args)))
+    context.log({"completion_args": make_completion_args_serializable(completion_args)})
+    try:
+        completion = await language_model.beta.chat.completions.parse(
+            **completion_args,
+        )
+        validate_completion(completion)
+        logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()}))
+        context.log({"completion": completion.model_dump()})
+    except Exception as e:
+        completion_error = CompletionError(e)
+        context.log({"completion_error": completion_error.message})
+        logger.error(
+            completion_error.message,
+            extra=extra_data({"completion_error": completion_error.body, "metadata": context.metadata_log}),
+        )
+        raise completion_error from e
+    else:
+        return message_content_from_completion(completion)
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/update_research_plan.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/update_research_plan.py
new file mode 100644
index 00000000..ce7f7b69
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/update_research_plan.py
@@ -0,0 +1,69 @@
+from typing import Any, cast
+
+from openai_client import (
+    CompletionError,
+    create_system_message,
+    create_user_message,
+    extra_data,
+    make_completion_args_serializable,
+    validate_completion,
+)
+from pydantic import BaseModel
+from skill_library import AskUserFn, EmitFn, Metadata, RunContext, RunRoutineFn
+from skill_library.logging import logger
+from skill_library.skills.common import CommonSkill
+
+
+async def main(
+    context: RunContext, routine_state: dict[str, Any], emit: EmitFn, run: RunRoutineFn, ask_user: AskUserFn, topic: str
+) -> tuple[list[str], Metadata]:
+    """
+    Update a research plan using information from a conversation. The plan will
+    consist of an updated set of research questions to be answered.
+    """
+    common_skill = cast(CommonSkill, context.skills["common"])
+    language_model = common_skill.config.language_model
+
+    class Output(BaseModel):
+        reasoning: str
+        research_questions: list[str]
+
+    completion_args = {
+        "model": "gpt-4o",
+        "messages": [
+            create_system_message(
+                (
+                    "You are an expert research assistant. You have previously considered a topic and carefully analyzed it to identify core, tangential, and nuanced areas requiring exploration. You approached the topic methodically, breaking it down into its fundamental aspects, associated themes, and interconnections. You thoroughly thought through the subject step by step and created a comprehensive set of research questions. These questions were presented to the user, who has now provided additional information. Use this information, found in the chat history to update the research plan.\n\n"
+                    "The topic is: {topic}\n\n"
+                    "The previous research questions are:\n\n"
+                    "{research_questions}\n\n"
+                )
+            ),
+            create_user_message(
+                f"Chat history: {(await context.conversation_history()).model_dump_json()}",
+            ),
+        ],
+        "response_format": Output,
+    }
+
+    metadata = {}
+    logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args)))
+    metadata["completion_args"] = make_completion_args_serializable(completion_args)
+    try:
+        completion = await language_model.beta.chat.completions.parse(
+            **completion_args,
+        )
+        validate_completion(completion)
+        logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()}))
+        metadata["completion"] = completion.model_dump()
+    except Exception as e:
+        completion_error = CompletionError(e)
+        metadata["completion_error"] = completion_error.message
+        logger.error(
+            completion_error.message,
+            extra=extra_data({"completion_error": completion_error.body, "metadata": metadata}),
+        )
+        raise completion_error from e
+    else:
+        research_questions = cast(Output, completion.choices[0].message.parsed).research_questions
+        return research_questions, metadata
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/web_research.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/web_research.py
new file mode 100644
index 00000000..acaa10d4
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/web_research.py
@@ -0,0 +1,66 @@
+"""
+web research skill
+"""
+
+import json
+from typing import Any
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    plan_name: str,
+    topic: str,
+) -> str:
+    """Research a topic thoroughly and return a report."""
+    plan, _ = await run("common.generate_research_plan", topic)
+    await run("posix.write_file", f"{plan_name}.txt", json.dumps(plan, indent=2))
+
+    user_intent = "update"
+
+    while user_intent == "update":
+        await ask_user("Does this plan look ok? If not, how would you like me to change it?")
+        user_intent = await run(
+            "common.select_user_intent",
+            {
+                "confirm": "The user is happy with the plan and wants to execute it.",
+                "update": "The user wants to change some things about the plan.",
+                "exit": "The user wants to stop the research.",
+            },
+        )
+        if user_intent == "update":
+            plan, _ = await run("common.update_research_plan", plan)
+            await run("posix.write_file", f"{plan_name}.txt", json.dumps(plan, indent=2))
+
+    if user_intent == "exit":
+        print("Exiting research.")
+        await run("posix.delete_file", f"{plan_name}.txt")
+        return ""
+
+    research_answers_filename = f"{plan_name}_research_answers.md"
+    await run("posix.touch", research_answers_filename)
+    for question in plan:
+        is_good_answer = False
+        query = question
+        previous_searches = []
+        while not is_good_answer:
+            related_web_content = await run(
+                "common.web_search", search_description=query, previous_searches=previous_searches
+            )
+            answer, _ = await run("common.answer_question_about_content", related_web_content, question)
+            is_good_answer, reasoning = await run("common.evaluate_answer", question, answer)
+            if is_good_answer:
+                await run("posix.append_file", research_answers_filename, f"##{question}\\n\\n{answer}\\n\\n")
+            else:
+                previous_searches.append((query, reasoning))
+
+    answers = await run("posix.read_file", research_answers_filename)
+    report = await run("common.summarize", answers, topic)
+    await run("posix.write_file", f"{plan_name}_research_report.txt", report)
+    print("Research complete.")
+    return report
diff --git a/libraries/python/skills/skill-library/skill_library/skills/common/routines/web_search.py b/libraries/python/skills/skill-library/skill_library/skills/common/routines/web_search.py
new file mode 100644
index 00000000..df2ca9fc
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/common/routines/web_search.py
@@ -0,0 +1,54 @@
+"""
+web research skill
+"""
+
+import json
+from typing import Any
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    search_description: str,
+    previous_searches: list[tuple[str, str]] | None = None,
+) -> str:
+    """
+    Bing search using the search_description. Returns summarized web content
+    from the top web search results to specifically answer the search
+    description. Only necessary for facts and info not contained in GPT-4.
+
+    Sometimes the search queries that are generated internally are not good
+    enough to satisfy the search description. If this is the case, you can use
+    the previous_searches parameter to provide the search queries that were
+    generated previously and the explanation of why the results that were
+    obtained from them weren't good enough. This will help the model to generate
+    a better search query.
+    """
+
+    # Generate search query.
+    search_query = await run("common.generate_search_query", search_description, previous_searches or [])
+
+    # Search Bing.
+    urls = await run("common.bing_search", search_query)
+
+    # Summarize page content from each search result.
+    results = {}
+    debug_i = 0
+    for url in urls:
+        content = await run("common.get_content_from_url", url, 10000)
+        summary = await run("common.summarize", search_description, content)
+        results[url] = summary
+        context.log({f"summarize_url_content_{debug_i}": summary})
+
+        debug_i += 1
+
+    # Summarize all pages into a final result.
+    response = await run("common.summarize", search_description, json.dumps(results, indent=2))
+    context.log({"summarize_all_results": response})
+
+    return response
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/__init__.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/__init__.py
similarity index 67%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/__init__.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/__init__.py
index 5ba38fe6..06ee8785 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/__init__.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/__init__.py
@@ -1,10 +1,9 @@
 from .guide import ConversationGuide
-from .guided_conversation_skill import GuidedConversationSkill, GuidedConversationSkillDefinition
+from .guided_conversation_skill import GuidedConversationSkill
 from .resources import ResourceConstraint, ResourceConstraintMode, ResourceConstraintUnit
 
 __all__ = [
     "GuidedConversationSkill",
-    "GuidedConversationSkillDefinition",
     "ConversationGuide",
     "ResourceConstraint",
     "ResourceConstraintMode",
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/agenda.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/agenda.py
similarity index 89%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/agenda.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/agenda.py
index a7354d0b..bf814332 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/agenda.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/agenda.py
@@ -1,6 +1,5 @@
 from pydantic import BaseModel, Field
-
-from guided_conversation_skill.resources import (
+from skill_library.skills.guided_conversation.resources import (
     ResourceConstraintMode,
 )
 
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/artifact_helpers.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/artifact_helpers.py
similarity index 100%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/artifact_helpers.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/artifact_helpers.py
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/fix_agenda_error.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/fix_agenda_error.py
similarity index 100%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/fix_agenda_error.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/fix_agenda_error.py
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/fix_artifact_error.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/fix_artifact_error.py
similarity index 95%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/fix_artifact_error.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/fix_artifact_error.py
index b2b64533..5b9cb0ba 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/fix_artifact_error.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/fix_artifact_error.py
@@ -1,7 +1,5 @@
 from typing import Any
 
-from guided_conversation_skill.artifact_helpers import UpdateAttempt, get_schema_for_prompt
-from guided_conversation_skill.message import Conversation, ConversationMessageType
 from openai_client import (
     CompletionError,
     add_serializable_data,
@@ -11,6 +9,8 @@
     message_from_completion,
     validate_completion,
 )
+from skill_library.skills.guided_conversation.artifact_helpers import UpdateAttempt, get_schema_for_prompt
+from skill_library.skills.guided_conversation.message import Conversation, ConversationMessageType
 from skill_library.types import LanguageModel
 
 from ..logging import logger
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_agenda.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_agenda.py
similarity index 97%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_agenda.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_agenda.py
index 0232e97c..41cb0d52 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_agenda.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_agenda.py
@@ -20,15 +20,6 @@
 
 from typing import Any, cast
 
-from guided_conversation_skill.agenda import Agenda, AgendaItem
-from guided_conversation_skill.artifact_helpers import get_artifact_for_prompt
-from guided_conversation_skill.guide import ConversationGuide
-from guided_conversation_skill.message import Conversation
-from guided_conversation_skill.resources import (
-    ConversationResource,
-    ResourceConstraintMode,
-    ResourceConstraintUnit,
-)
 from openai_client import (
     CompletionError,
     create_system_message,
@@ -37,6 +28,15 @@
     validate_completion,
 )
 from pydantic import ValidationError
+from skill_library.skills.guided_conversation.agenda import Agenda, AgendaItem
+from skill_library.skills.guided_conversation.artifact_helpers import get_artifact_for_prompt
+from skill_library.skills.guided_conversation.guide import ConversationGuide
+from skill_library.skills.guided_conversation.message import Conversation
+from skill_library.skills.guided_conversation.resources import (
+    ConversationResource,
+    ResourceConstraintMode,
+    ResourceConstraintUnit,
+)
 from skill_library.types import LanguageModel
 
 from ..logging import extra_data, logger
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_artifact_updates.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_artifact_updates.py
similarity index 98%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_artifact_updates.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_artifact_updates.py
index 1b2574b8..91e32574 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_artifact_updates.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_artifact_updates.py
@@ -2,16 +2,6 @@
 from typing import Annotated, Any, cast
 
 import jsonschema
-from guided_conversation_skill.artifact_helpers import (
-    InvalidArtifactFieldError,
-    UpdateAttempt,
-    get_artifact_for_prompt,
-    get_field_schema_string,
-    get_schema_for_prompt,
-    validate_field_presence_in_schema,
-    validate_field_value,
-)
-from guided_conversation_skill.guide import ConversationGuide
 from openai_client import (
     CompletionError,
     add_serializable_data,
@@ -21,6 +11,16 @@
     validate_completion,
 )
 from pydantic import BaseModel, Field
+from skill_library.skills.guided_conversation.artifact_helpers import (
+    InvalidArtifactFieldError,
+    UpdateAttempt,
+    get_artifact_for_prompt,
+    get_field_schema_string,
+    get_schema_for_prompt,
+    validate_field_presence_in_schema,
+    validate_field_value,
+)
+from skill_library.skills.guided_conversation.guide import ConversationGuide
 from skill_library.types import LanguageModel
 
 from ..logging import logger
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_final_artifact.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_final_artifact.py
similarity index 97%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_final_artifact.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_final_artifact.py
index 5b6e8b62..aa73ffe9 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_final_artifact.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_final_artifact.py
@@ -1,7 +1,6 @@
 import json
 from typing import Any
 
-from guided_conversation_skill.artifact_helpers import get_artifact_for_prompt, get_schema_for_prompt
 from openai_client import (
     CompletionError,
     create_system_message,
@@ -9,6 +8,7 @@
     make_completion_args_serializable,
     validate_completion,
 )
+from skill_library.skills.guided_conversation.artifact_helpers import get_artifact_for_prompt, get_schema_for_prompt
 from skill_library.types import LanguageModel
 
 from ..guide import ConversationGuide
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_message.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_message.py
similarity index 96%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_message.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_message.py
index 7e645ade..ca95aece 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_message.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/chat_completions/generate_message.py
@@ -1,8 +1,6 @@
 import logging
 from typing import Any
 
-from guided_conversation_skill.artifact_helpers import get_artifact_for_prompt, get_schema_for_prompt
-from guided_conversation_skill.guide import ConversationGuide
 from openai_client import (
     CompletionError,
     add_serializable_data,
@@ -13,6 +11,8 @@
     validate_completion,
 )
 from pydantic import BaseModel
+from skill_library.skills.guided_conversation.artifact_helpers import get_artifact_for_prompt, get_schema_for_prompt
+from skill_library.skills.guided_conversation.guide import ConversationGuide
 from skill_library.types import LanguageModel
 
 from ..message import Conversation, ConversationMessageType
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/__init__.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/__init__.py
similarity index 100%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/__init__.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/__init__.py
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/acrostic_poem.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/acrostic_poem.py
similarity index 97%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/acrostic_poem.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/acrostic_poem.py
index 908865be..965f123e 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/acrostic_poem.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/acrostic_poem.py
@@ -1,8 +1,7 @@
 from textwrap import dedent
 
 from pydantic import BaseModel, Field
-
-from guided_conversation_skill import (
+from skill_library.skills.guided_conversation import (
     ConversationGuide,
     ResourceConstraint,
     ResourceConstraintMode,
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/er_triage.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/er_triage.py
similarity index 98%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/er_triage.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/er_triage.py
index 7943073a..6ff6ecb3 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/er_triage.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/er_triage.py
@@ -1,6 +1,5 @@
 from pydantic import BaseModel, Field
-
-from guided_conversation_skill import (
+from skill_library.skills.guided_conversation import (
     ConversationGuide,
     ResourceConstraint,
     ResourceConstraintMode,
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/interview.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/interview.py
similarity index 98%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/interview.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/interview.py
index da523539..c3e1e7ad 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/interview.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/interview.py
@@ -1,6 +1,5 @@
 from pydantic import BaseModel, Field
-
-from guided_conversation_skill import (
+from skill_library.skills.guided_conversation import (
     ConversationGuide,
     ResourceConstraint,
     ResourceConstraintMode,
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/patient_intake.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/patient_intake.py
similarity index 98%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/patient_intake.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/patient_intake.py
index b6bc4c14..956391f2 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/conversation_guides/patient_intake.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/conversation_guides/patient_intake.py
@@ -1,6 +1,5 @@
 from pydantic import BaseModel, Field
-
-from guided_conversation_skill import (
+from skill_library.skills.guided_conversation import (
     ConversationGuide,
     ResourceConstraint,
     ResourceConstraintMode,
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/guide.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/guide.py
similarity index 100%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/guide.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/guide.py
diff --git a/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/guided_conversation_skill.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/guided_conversation_skill.py
new file mode 100644
index 00000000..2c393e99
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/guided_conversation_skill.py
@@ -0,0 +1,58 @@
+from assistant_drive import Drive
+from skill_library import LanguageModel, Skill, SkillConfig
+
+from .guide import ConversationGuide
+from .logging import logger
+
+CLASS_NAME = "GuidedConversationSkill"
+DESCRIPTION = "Walks the user through a conversation about gathering info for the creation of an artifact."
+DEFAULT_MAX_RETRIES = 3
+INSTRUCTIONS = "You are an assistant."
+
+
+class NoDefinitionConfiguredError(Exception):
+    pass
+
+
+class GuidedConversationSkillConfig(SkillConfig):
+    """Configuration for the common skill"""
+
+    language_model: LanguageModel
+    drive: Drive
+    definition: ConversationGuide | None = None
+
+
+class GuidedConversationSkill(Skill):
+    config: GuidedConversationSkillConfig
+
+    def __init__(self, config: GuidedConversationSkillConfig):
+        super().__init__(config)
+
+        self.language_model = config.language_model
+        self.drive = config.drive
+
+        # Configuring the definition of a conversation here makes this skill
+        # instance for this one type (definition) of conversation.
+        # Alternatively, you can not supply a definition and have the
+        # conversation_init_function take in the definition as a parameter if
+        # you wanted to use the same instance for different kinds of
+        # conversations.
+        if config.definition:
+            # If a definition is supplied, we'll use this for every
+            # conversation. Save it so we can use it when this skill is run
+            # again in the future.
+            self.drive.write_model(
+                config.definition,
+                "GCDefinition.json",
+            )
+        else:
+            # As a convenience, check to see if a definition was already saved
+            # previously in this drive.
+            try:
+                config.definition = self.drive.read_model(ConversationGuide, "GCDefinition.json")
+            except FileNotFoundError:
+                logger.warning(
+                    "No definition supplied or found in the drive. Will expect one as a var in the conversation_init_function"
+                )
+
+        self.guide = config.definition
diff --git a/libraries/python/skills/skills/common-skill/common_skill/logging.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/logging.py
similarity index 100%
rename from libraries/python/skills/skills/common-skill/common_skill/logging.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/logging.py
diff --git a/libraries/python/skills/skills/common-skill/common_skill/message.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/message.py
similarity index 100%
rename from libraries/python/skills/skills/common-skill/common_skill/message.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/message.py
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/resources.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/resources.py
similarity index 100%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/resources.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/resources.py
diff --git a/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/routines/guided_conversation.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/routines/guided_conversation.py
new file mode 100644
index 00000000..8e2a76bb
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/routines/guided_conversation.py
@@ -0,0 +1,166 @@
+import importlib
+import json
+from typing import Any, cast
+
+from events import InformationEvent, MessageEvent
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.logging import extra_data, logger
+from skill_library.skills.guided_conversation import ConversationGuide
+from skill_library.skills.guided_conversation.agenda import Agenda
+from skill_library.skills.guided_conversation.chat_completions.generate_agenda import generate_agenda
+from skill_library.skills.guided_conversation.chat_completions.generate_artifact_updates import (
+    generate_artifact_updates,
+)
+from skill_library.skills.guided_conversation.chat_completions.generate_final_artifact import final_artifact_update
+from skill_library.skills.guided_conversation.chat_completions.generate_message import generate_message
+from skill_library.skills.guided_conversation.guided_conversation_skill import (
+    GuidedConversationSkill,
+    NoDefinitionConfiguredError,
+)
+from skill_library.skills.guided_conversation.message import Conversation
+from skill_library.skills.guided_conversation.resources import ConversationResource
+
+DEFAULT_MAX_RETRIES = 3
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    conversation_guide: ConversationGuide | str | None = None,
+    conversation: Conversation | None = None,
+    resource: ConversationResource | None = None,
+    agenda: Agenda | None = None,
+    artifact: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    """
+    Start a new guided conversation.
+
+    This function is called when the conversation routine is started. It
+    initializes the conversation state and starts the conversation.
+
+
+    Vars for selecting the conversation guide:
+        conversation_guide: You can supply a ConversationGuide or a string.
+        If you use a string, a conversation guide by that name will be used
+        from the `conversation_guides` module.
+
+    Vars for prefilling state:
+        resource: The current resource state.
+        conversation: The current conversation state.
+        agenda: The current agenda state.
+        artifact: The current artifact state.
+
+    Returns:
+        tuple[bool, dict[str, Any] | None]: A tuple containing a boolean
+        indicating if the conversation is complete and the current state of
+        the artifact.
+    """
+
+    logger.debug(
+        "Initializing guided conversation skill.",
+        extra_data({"session_id": context.session_id, "vars": vars}),
+    )
+
+    skill = cast(GuidedConversationSkill, context.skills["common"])
+    language_model = skill.language_model
+
+    # The definition is required to run the conversation. It can be provided
+    # in the skill config or as a param when initializing the conversation.
+    guide = skill.guide
+    if not guide:
+        if not conversation_guide:
+            raise NoDefinitionConfiguredError("No guide was provided to the skill.")
+
+        match conversation_guide:
+            case ConversationGuide():
+                guide = conversation_guide
+            case str():
+                # Load the definition dynamically from the `conversation_guides` module.
+                try:
+                    guides_dir = "skill_library.skills.guided_conversation.conversation_guides"
+                    guide_module_name = f"{guides_dir}.{conversation_guide}"
+                    guide_module = importlib.import_module(guide_module_name)
+                    guide = guide_module.definition
+                except ImportError:
+                    raise NoDefinitionConfiguredError(f"Could not import the definition module: {conversation_guide}")
+
+    if conversation is None:
+        conversation = Conversation()
+    if resource is None:
+        resource = ConversationResource(resource_constraint=guide.resource_constraint)
+    if artifact is None:
+        artifact = {}
+    if agenda is None:
+        agenda = Agenda()
+
+    while True:
+        logger.debug("Continuing guided conversation.", extra_data({"session_id": context.session_id}))
+
+        # If it's not the first turn...
+        if resource.turn_number > 0:
+            # If it isn't the first turn, get the last message in the conversation.
+            messages = (await context.conversation_history()).messages
+            message = messages[-1].content
+            conversation.add_user_message(message)
+
+            # Update the artifact.
+            try:
+                artifact_updates = await generate_artifact_updates(
+                    language_model, guide, artifact or {}, conversation, max_retries=DEFAULT_MAX_RETRIES
+                )
+            except Exception as e:
+                # TODO: DO something with this error.
+                logger.exception("Error generating artifact updates", exc_info=e)
+            else:
+                # Apply the validated updates to the artifact.
+                for update in artifact_updates:
+                    try:
+                        artifact[update.field] = json.loads(update.value_as_json)
+                    except json.JSONDecodeError:
+                        logger.warning(f"Error decoding JSON for update: {update}")
+                        continue
+                emit(InformationEvent(message="Artifact updated", metadata={"artifact": artifact}))
+
+        # Update agenda.
+        try:
+            agenda, is_done = await generate_agenda(
+                language_model,
+                guide,
+                conversation,
+                agenda,
+                artifact,
+                resource,
+                max_retries=DEFAULT_MAX_RETRIES,
+            )
+            emit(InformationEvent(message="Agenda updated", metadata={"agenda": agenda.model_dump()}))
+        except Exception:
+            logger.exception("Error generating agenda")
+            return artifact
+
+        # If the agenda generation says we are done, generate the final
+        # artifact.
+        # TODO: Maybe we should put the check for "done" in the
+        #   message generation function? Or... a separate function after the
+        #   message is generated?
+        if is_done:
+            if artifact:
+                artifact = await final_artifact_update(language_model, guide, conversation, artifact)
+            emit(
+                InformationEvent(
+                    session_id=context.session_id, message="Conversation complete!", metadata={"artifact": artifact}
+                )
+            )
+            return artifact
+
+        # If we are not done, use the agenda to ask the user for whatever is next.
+        else:
+            message = await generate_message(language_model, guide, artifact, conversation)
+            if message:
+                conversation.add_assistant_message(message)
+            emit(MessageEvent(session_id=context.session_id, message=message))
+
+            # Increment the resource.
+            resource.increment_resource()
diff --git a/libraries/python/skills/skills/common-skill/tests/conftest.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/conftest.py
similarity index 100%
rename from libraries/python/skills/skills/common-skill/tests/conftest.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/conftest.py
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_artifact_helpers.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_artifact_helpers.py
similarity index 94%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_artifact_helpers.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_artifact_helpers.py
index 467d42ca..0cbb6fce 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_artifact_helpers.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_artifact_helpers.py
@@ -1,15 +1,15 @@
-# from guided_conversation_skill.artifact_helpers import artifact_from_schema
+# from skill_library.skills.guided_conversation.artifact_helpers import artifact_from_schema
 from typing import Literal, get_type_hints
 
 import jsonschema
 import pytest
-from guided_conversation_skill.artifact_helpers import (
+from skill_library.skills.guided_conversation.artifact_helpers import (
     InvalidArtifactFieldError,
     UpdateAttempt,
     validate_artifact_data,
     validate_field_value,
 )
-from guided_conversation_skill.chat_completions.generate_artifact_updates import (
+from skill_library.skills.guided_conversation.chat_completions.generate_artifact_updates import (
     ArtifactUpdate,
     validate_update_attempt,
 )
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_agenda.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_generate_agenda.py
similarity index 73%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_agenda.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_generate_agenda.py
index 28b979b6..fd0dcbbe 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_agenda.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_generate_agenda.py
@@ -1,9 +1,9 @@
 import pytest
-from guided_conversation_skill.agenda import Agenda
-from guided_conversation_skill.chat_completions.generate_agenda import generate_agenda, resource_phrase
-from guided_conversation_skill.conversation_guides import acrostic_poem
-from guided_conversation_skill.message import Conversation
-from guided_conversation_skill.resources import ConversationResource, ResourceConstraintUnit
+from skill_library.skills.guided_conversation.agenda import Agenda
+from skill_library.skills.guided_conversation.chat_completions.generate_agenda import generate_agenda, resource_phrase
+from skill_library.skills.guided_conversation.conversation_guides import acrostic_poem
+from skill_library.skills.guided_conversation.message import Conversation
+from skill_library.skills.guided_conversation.resources import ConversationResource, ResourceConstraintUnit
 from skill_library.types import LanguageModel
 
 
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_artifact_updates.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_generate_artifact_updates.py
similarity index 57%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_artifact_updates.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_generate_artifact_updates.py
index b963717c..eb492d27 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_artifact_updates.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_generate_artifact_updates.py
@@ -1,7 +1,9 @@
 import pytest
-from guided_conversation_skill.chat_completions.generate_artifact_updates import generate_artifact_updates
-from guided_conversation_skill.conversation_guides.acrostic_poem import definition
-from guided_conversation_skill.message import Conversation
+from skill_library.skills.guided_conversation.chat_completions.generate_artifact_updates import (
+    generate_artifact_updates,
+)
+from skill_library.skills.guided_conversation.conversation_guides.acrostic_poem import definition
+from skill_library.skills.guided_conversation.message import Conversation
 from skill_library.types import LanguageModel
 
 
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_final_artifact.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_generate_final_artifact.py
similarity index 94%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_final_artifact.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_generate_final_artifact.py
index bf3d1326..b7cf1f54 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_final_artifact.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_generate_final_artifact.py
@@ -1,7 +1,7 @@
 import pytest
-from guided_conversation_skill.chat_completions.generate_final_artifact import final_artifact_update
-from guided_conversation_skill.conversation_guides import acrostic_poem
-from guided_conversation_skill.message import Conversation, Message
+from skill_library.skills.guided_conversation.chat_completions.generate_final_artifact import final_artifact_update
+from skill_library.skills.guided_conversation.conversation_guides import acrostic_poem
+from skill_library.skills.guided_conversation.message import Conversation, Message
 from skill_library.types import LanguageModel
 
 
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_resource.py b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_resource.py
similarity index 96%
rename from libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_resource.py
rename to libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_resource.py
index 5e8872c0..001c0f19 100644
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_resource.py
+++ b/libraries/python/skills/skill-library/skill_library/skills/guided_conversation/tests/test_resource.py
@@ -1,4 +1,4 @@
-from guided_conversation_skill.resources import (
+from skill_library.skills.guided_conversation.resources import (
     ConversationResource,
     ResourceConstraintMode,
     ResourceConstraintUnit,
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/__init__.py b/libraries/python/skills/skill-library/skill_library/skills/posix/__init__.py
new file mode 100644
index 00000000..efc391ec
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/__init__.py
@@ -0,0 +1,3 @@
+from .posix_skill import PosixSkill
+
+__all__ = ["PosixSkill"]
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/posix_skill.py b/libraries/python/skills/skill-library/skill_library/skills/posix/posix_skill.py
new file mode 100644
index 00000000..34bfa03e
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/posix_skill.py
@@ -0,0 +1,20 @@
+from pathlib import Path
+
+from skill_library.engine import Skill, SkillConfig
+
+from .sandbox_shell import SandboxShell
+
+
+class PosixSkillConfig(SkillConfig):
+    """Configuration for the common skill"""
+
+    sandbox_dir: Path
+    mount_dir: str = "/mnt/data"
+
+
+class PosixSkill(Skill):
+    shell: SandboxShell
+
+    def __init__(self, config: PosixSkillConfig):
+        super().__init__(config)
+        self.shell = SandboxShell(config.sandbox_dir, config.mount_dir)
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/routines/append_file.py b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/append_file.py
new file mode 100644
index 00000000..9eb86f55
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/append_file.py
@@ -0,0 +1,25 @@
+from typing import Any, cast
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.skills.posix import PosixSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    filename: str,
+    content: str,
+) -> str:
+    """
+    Change the current working directory.
+    """
+    posix_skill = cast(PosixSkill, context.skills["posix"])
+    shell = posix_skill.shell
+    try:
+        shell.append_file(filename, content)
+        return f"Appended content to {filename}."
+    except FileNotFoundError:
+        return f"Filename {filename} not found."
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/routines/cd.py b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/cd.py
new file mode 100644
index 00000000..0561f242
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/cd.py
@@ -0,0 +1,24 @@
+from typing import Any, cast
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.skills.posix import PosixSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    directory: str,
+) -> str:
+    """
+    Change the current working directory.
+    """
+    posix_skill = cast(PosixSkill, context.skills["posix"])
+    shell = posix_skill.shell
+    try:
+        shell.cd(directory)
+        return f"Changed directory to {directory}."
+    except FileNotFoundError:
+        return f"Directory {directory} not found."
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/routines/ls.py b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/ls.py
new file mode 100644
index 00000000..2636ea48
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/ls.py
@@ -0,0 +1,20 @@
+from typing import Any, cast
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.skills.posix import PosixSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    path: str = ".",
+) -> list[str]:
+    """
+    Change the current working directory.
+    """
+    posix_skill = cast(PosixSkill, context.skills["posix"])
+    shell = posix_skill.shell
+    return shell.ls(path)
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/routines/make_home_dir.py b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/make_home_dir.py
new file mode 100644
index 00000000..7f752660
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/make_home_dir.py
@@ -0,0 +1,23 @@
+from typing import Any
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    username: str,
+) -> None:
+    await run("posix.cd", "/mnt/data")
+    await run("posix.mkdir", username)
+    await run("posix.cd", username)
+    await run("posix.mkdir", "Documents")
+    await run("posix.mkdir", "Downloads")
+    await run("posix.mkdir", "Music")
+    await run("posix.mkdir", "Pictures")
+    await run("posix.mkdir", "Videos")
+    await run("posix.cd", "/mnt/data")
+    print(f"Home directory created for {username}.")
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/routines/mkdir.py b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/mkdir.py
new file mode 100644
index 00000000..d732e01d
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/mkdir.py
@@ -0,0 +1,21 @@
+from typing import Any, cast
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.skills.posix import PosixSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    dirname: str,
+) -> str:
+    """
+    Create a new directory.
+    """
+    posix_skill = cast(PosixSkill, context.skills["posix"])
+    shell = posix_skill.shell
+    shell.mkdir(dirname)
+    return f"Created directory {dirname}."
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/routines/mv.py b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/mv.py
new file mode 100644
index 00000000..3c6fd051
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/mv.py
@@ -0,0 +1,22 @@
+from typing import Any, cast
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.skills.posix import PosixSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    src: str,
+    dest: str,
+) -> str:
+    """
+    Move a file or directory.
+    """
+    posix_skill = cast(PosixSkill, context.skills["posix"])
+    shell = posix_skill.shell
+    shell.mv(src, dest)
+    return f"Moved {src} to {dest}."
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/routines/pwd.py b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/pwd.py
new file mode 100644
index 00000000..2cc7f57f
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/pwd.py
@@ -0,0 +1,19 @@
+from typing import Any, cast
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.skills.posix import PosixSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+) -> str:
+    """
+    Return the current directory.
+    """
+    posix_skill = cast(PosixSkill, context.skills["posix"])
+    shell = posix_skill.shell
+    return shell.pwd()
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/routines/read_file.py b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/read_file.py
new file mode 100644
index 00000000..621af05f
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/read_file.py
@@ -0,0 +1,20 @@
+from typing import Any, cast
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.skills.posix import PosixSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    filename: str,
+) -> str:
+    """
+    Read the contents of a file.
+    """
+    posix_skill = cast(PosixSkill, context.skills["posix"])
+    shell = posix_skill.shell
+    return shell.read_file(filename)
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/routines/rm.py b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/rm.py
new file mode 100644
index 00000000..7e950b48
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/rm.py
@@ -0,0 +1,16 @@
+from typing import Any, cast
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.skills.posix import PosixSkill
+
+
+async def main(
+    context: RunContext, routine_state: dict[str, Any], emit: EmitFn, run: RunRoutineFn, ask_user: AskUserFn, path: str
+) -> str:
+    """
+    Remove a file or directory.
+    """
+    posix_skill = cast(PosixSkill, context.skills["posix"])
+    shell = posix_skill.shell
+    shell.rm(path)
+    return f"Removed {path}."
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/routines/touch.py b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/touch.py
new file mode 100644
index 00000000..49156b69
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/touch.py
@@ -0,0 +1,21 @@
+from typing import Any, cast
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.skills.posix import PosixSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    filename: str,
+) -> str:
+    """
+    Create an empty file.
+    """
+    posix_skill = cast(PosixSkill, context.skills["posix"])
+    shell = posix_skill.shell
+    shell.touch(filename)
+    return f"Created file {filename}."
diff --git a/libraries/python/skills/skill-library/skill_library/skills/posix/routines/write_file.py b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/write_file.py
new file mode 100644
index 00000000..c316867b
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/skills/posix/routines/write_file.py
@@ -0,0 +1,22 @@
+from typing import Any, cast
+
+from skill_library import AskUserFn, EmitFn, RunContext, RunRoutineFn
+from skill_library.skills.posix.posix_skill import PosixSkill
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+    filename: str,
+    content: str,
+) -> str:
+    """
+    Write content to a file.
+    """
+    posix_skill = cast(PosixSkill, context.skills["posix"])
+    shell = posix_skill.shell
+    shell.write_file(filename, content)
+    return f"Wrote content to {filename}."
diff --git a/libraries/python/skills/skills/posix-skill/posix_skill/sandbox_shell.py b/libraries/python/skills/skill-library/skill_library/skills/posix/sandbox_shell.py
similarity index 100%
rename from libraries/python/skills/skills/posix-skill/posix_skill/sandbox_shell.py
rename to libraries/python/skills/skill-library/skill_library/skills/posix/sandbox_shell.py
diff --git a/libraries/python/skills/skill-library/skill_library/tests/action_list_routine/test_action_list_validation.py b/libraries/python/skills/skill-library/skill_library/tests/action_list_routine/test_action_list_validation.py
deleted file mode 100644
index 0bcc5152..00000000
--- a/libraries/python/skills/skill-library/skill_library/tests/action_list_routine/test_action_list_validation.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from textwrap import dedent
-
-from skill_library.routine.action_list_routine import ActionListRoutine
-
-
-def test_action_list_routine_validation():
-    routine = ActionListRoutine(
-        name="demo",
-        skill_name="skill",
-        description="A demo action list routine.",
-        routine=dedent("""
-            0: common.web_search("{{stock_ticker}} stock price")
-            1: common.gpt_complete("Write this like a cowboy: {{0}}")
-            2: posix.write_file("output.txt", {{1}})
-            3: print([{{1}}])
-        """),
-    )
-
-    vars = {"stock_ticker": "MSFT"}
-
-    # Assert no exception thrown.
-    assert routine.validate(vars) is None
diff --git a/libraries/python/skills/skill-library/skill_library/tests/test_common_skill.py b/libraries/python/skills/skill-library/skill_library/tests/test_common_skill.py
new file mode 100644
index 00000000..4a17ce11
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/tests/test_common_skill.py
@@ -0,0 +1,34 @@
+from pathlib import Path
+
+from semantic_workbench_api_model.workbench_model import ConversationMessageList
+from skill_library.engine import Engine
+from skill_library.skills.posix.posix_skill import PosixSkill, PosixSkillConfig
+
+
+def test_common_posix_skill_initialization():
+    engine_id = "test-1"
+
+    async def get_history() -> ConversationMessageList:
+        return ConversationMessageList(messages=[])
+
+    engine = Engine(
+        engine_id="test-1",
+        message_history_provider=get_history,
+        skills=[
+            (
+                PosixSkill,
+                PosixSkillConfig(
+                    name="posix",
+                    sandbox_dir=Path(".data") / engine_id,
+                    mount_dir="/mnt/data",
+                ),
+            ),
+        ],
+    )
+
+    try:
+        routines = engine.list_routines()
+    except Exception as e:
+        assert False, f"Error listing routines: {e}"
+
+    assert "posix.ls" in routines
diff --git a/libraries/python/skills/skill-library/skill_library/tests/test_integration.py b/libraries/python/skills/skill-library/skill_library/tests/test_integration.py
new file mode 100644
index 00000000..ad444dde
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/tests/test_integration.py
@@ -0,0 +1,32 @@
+import pytest
+from semantic_workbench_api_model.workbench_model import ConversationMessageList
+from skill_library.engine import Engine
+from skill_library.tests.tst_skill import TstSkill, TstSkillConfig
+
+
+@pytest.fixture
+async def engine():
+    """Create an engine with our test skill"""
+
+    async def get_history() -> ConversationMessageList:
+        return ConversationMessageList(messages=[])
+
+    engine = Engine(
+        engine_id="test-id",
+        message_history_provider=get_history,
+        skills=[(TstSkill, TstSkillConfig(name="tst_skill"))],
+    )
+    await engine.start()
+    return engine
+
+
+@pytest.mark.asyncio
+async def test_skill_registration(engine):
+    """Test that skills are properly registered"""
+    # Check if skill exists
+    assert "tst_skill" in engine._skills
+
+    # Check if routines were discovered
+    routines = engine.list_routines()
+    print("Available routines:", routines)
+    assert "tst_skill.a_routine" in routines
diff --git a/libraries/python/skills/skill-library/skill_library/tests/tst_skill/__init__.py b/libraries/python/skills/skill-library/skill_library/tests/tst_skill/__init__.py
new file mode 100644
index 00000000..0ed74f59
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/tests/tst_skill/__init__.py
@@ -0,0 +1,12 @@
+# tst_skill/__init__.py
+from skill_library.engine import Skill, SkillConfig
+
+
+class TstSkillConfig(SkillConfig):
+    name: str
+
+
+class TstSkill(Skill):
+    def __init__(self, config: TstSkillConfig):
+        super().__init__(config)
+        self.call_count = 0  # Add any test state we need
diff --git a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/generate_filled_form.py b/libraries/python/skills/skill-library/skill_library/tests/tst_skill/routines/__init__.py
similarity index 100%
rename from libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/generate_filled_form.py
rename to libraries/python/skills/skill-library/skill_library/tests/tst_skill/routines/__init__.py
diff --git a/libraries/python/skills/skill-library/skill_library/tests/tst_skill/routines/a_routine.py b/libraries/python/skills/skill-library/skill_library/tests/tst_skill/routines/a_routine.py
new file mode 100644
index 00000000..65e198bf
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/tests/tst_skill/routines/a_routine.py
@@ -0,0 +1,23 @@
+# tst_skill/routines/a_routine.py
+from typing import Any
+
+from skill_library.types import (
+    AskUserFn,
+    EmitFn,
+    RunContext,
+    RunRoutineFn,
+)
+
+
+async def main(
+    context: RunContext,
+    routine_state: dict[str, Any],
+    emit: EmitFn,
+    run: RunRoutineFn,
+    ask_user: AskUserFn,
+) -> str:
+    # Call an action from the same skill
+    await run("tst_skill.an_action")
+    # Test asking user something
+    response = await ask_user("test question")
+    return response
diff --git a/libraries/python/skills/skill-library/skill_library/types.py b/libraries/python/skills/skill-library/skill_library/types.py
index caf4f286..8f2e564d 100644
--- a/libraries/python/skills/skill-library/skill_library/types.py
+++ b/libraries/python/skills/skill-library/skill_library/types.py
@@ -1,6 +1,84 @@
-from typing import Any
+# skill_library/types.py
 
+from datetime import datetime
+from typing import TYPE_CHECKING, Any, Awaitable, Callable, Protocol
+from uuid import uuid4
+
+from assistant_drive import Drive
+from events import EventProtocol
 from openai import AsyncAzureOpenAI, AsyncOpenAI
+from semantic_workbench_api_model.workbench_model import ConversationMessageList
+
+if TYPE_CHECKING:
+    from .skill import Skill
 
-LanguageModel = AsyncOpenAI | AsyncAzureOpenAI
 Metadata = dict[str, Any]
+
+
+class RunContext:
+    """
+    "Run context" is passed to parts of the system (skill routines and
+    actions, and chat driver functions) that need to be able to run routines or
+    actions, set assistant state, or emit messages from the assistant.
+    """
+
+    def __init__(
+        self,
+        session_id: str,
+        run_drive: Drive,
+        conversation_history: Callable[[], Awaitable[ConversationMessageList]],
+        skills: dict[str, "Skill"],
+    ) -> None:
+        # A session id is useful for maintaining consistent session state across all
+        # consumers of this context. For example, a session id can be set in an
+        # assistant and all functions called by that assistant can should receive
+        # this same context object to know which session is being used.
+        self.session_id: str = session_id or str(uuid4())
+
+        # A "run" is a particular series of calls within a session. The initial call will
+        # set the run id and all subsequent calls will use the same run id. This is useful
+        # for logging, metrics, and debugging.
+        self.run_id: str | None = str(uuid4())
+
+        # The assistant drive is a drive object that can be used to read and
+        # write files to a particular location. The assistant drive should be
+        # used for assistant-specific data and not for general data storage.
+        self.run_drive: Drive = run_drive
+
+        # The conversation history function is a function that can be called to
+        # get the conversation history for the current session. This is useful
+        # for routines that need to know what has been said in the conversation
+        # so far. Usage: `await run_context.conversation_history()`
+        self.conversation_history = conversation_history
+
+        self.skills = skills
+
+        # This is a dictionary that can be used to store meta information about
+        # the current run.
+        self.metadata_log: list[tuple[str, Metadata]] = []
+
+    def log(self, metadata: Metadata) -> None:
+        ts = datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]
+        self.metadata_log.append((ts, metadata))
+
+
+class RunContextProvider(Protocol):
+    """
+    A provider of a run context must have this method. When called, it will
+    return a run context. This is used by skill routines and actions to have
+    access to all the things they need for running.
+    """
+
+    def create_run_context(self) -> RunContext: ...
+
+
+AskUserFn = Callable[[str], Awaitable[str]]
+ActionFn = Callable[[RunContext], Awaitable[Any]]
+EmitFn = Callable[[EventProtocol], None]
+
+
+class RunRoutineFn(Protocol):
+    async def __call__(self, designation: str, *args: Any, **kwargs: Any) -> Any: ...
+
+
+LanguageModel = AsyncOpenAI | AsyncAzureOpenAI
diff --git a/libraries/python/skills/skill-library/skill_library/usage.py b/libraries/python/skills/skill-library/skill_library/usage.py
new file mode 100644
index 00000000..62cd8c3f
--- /dev/null
+++ b/libraries/python/skills/skill-library/skill_library/usage.py
@@ -0,0 +1,142 @@
+# skill_library/routine_info.py
+
+import inspect
+from dataclasses import dataclass
+from typing import Any, Callable, cast
+
+from .skill import RoutineFn
+
+# Standard routine parameters we want to skip in documentation
+STANDARD_PARAMS = {"context", "ask_user", "run", "get_state", "set_state", "emit"}
+
+
+@dataclass
+class Parameter:
+    """Describes a single parameter of a routine"""
+
+    name: str
+    type: Any
+    description: str | None
+    default_value: Any | None = None
+
+    def _format_type(self, type_hint: Any) -> str:
+        """Format type hints into readable strings"""
+        import typing
+        from typing import _GenericAlias  # type: ignore
+
+        # If it's a string representation of a type, clean it up
+        if isinstance(type_hint, str):
+            return type_hint.replace("typing.", "")
+
+        # Handle built-in types
+        if isinstance(type_hint, type):
+            return type_hint.__name__
+
+        # Handle typing._GenericAlias (like list[str])
+        if isinstance(type_hint, _GenericAlias):
+            origin = typing.get_origin(type_hint)
+            args = typing.get_args(type_hint)
+
+            if origin == typing.Union:
+                if type(None) in args:
+                    # Get the non-None type
+                    real_type = next(arg for arg in args if arg is not type(None))
+                    return f"Optional[{self._format_type(real_type)}]"
+                return " | ".join(self._format_type(arg) for arg in args)
+
+            if origin:
+                formatted_args = [self._format_type(arg) for arg in args]
+                origin_name = origin.__name__ if hasattr(origin, "__name__") else str(origin)
+                return f"{origin_name}[{', '.join(formatted_args)}]"
+
+        # If we get here, just convert to string and clean it up
+        type_str = str(type_hint)
+        return type_str.replace("typing.", "").replace("NoneType", "None").replace("ForwardRef(", "").replace(")", "")
+
+    def __str__(self) -> str:
+        param_type = self._format_type(self.type)
+        usage = f"{self.name}: {param_type}"
+
+        if self.default_value is not inspect.Parameter.empty:
+            if isinstance(self.default_value, str):
+                usage += f' = "{self.default_value}"'
+            else:
+                usage += f" = {self.default_value}"
+        return usage
+
+
+@dataclass
+class RoutineUsage:
+    """Documentation for a routine, including its parameters"""
+
+    name: str
+    parameters: list[Parameter]
+    description: str
+
+    def __str__(self) -> str:
+        param_usage = ", ".join(str(param) for param in self.parameters)
+        usage = f"__{self.name}__"
+        if self.parameters:
+            usage += f"\n    Parameters: ({param_usage})"
+        if self.description:
+            usage += f"\n    {self.description}"
+        return usage
+
+    def to_markdown(self) -> str:
+        """Convert the routine usage to a markdown string"""
+        routine = f"__{self.name}__"
+        if self.parameters:
+            param_usage = ", ".join(str(param) for param in self.parameters)
+            routine += f"({param_usage})"
+
+        description = None
+        if self.description:
+            # Clean description for markdown.
+
+            # Split into lines and remove empty lines at start/end
+            lines = [line.strip() for line in self.description.splitlines()]
+            lines = [line for line in lines if line]
+
+            # Join all lines with a space between them
+            clean_doc = " ".join(lines)
+
+            # Escape any markdown characters
+            clean_doc = (
+                clean_doc.replace("_", "\\_")  # Escape underscores
+                .replace("*", "\\*")  # Escape asterisks
+                .replace("`", "\\`")  # Escape backticks
+                .replace("[", "\\[")  # Escape square brackets
+                .replace("]", "\\]")
+            )
+
+            description = f"_{clean_doc}_"
+
+        if description:
+            return f"{routine}: {description}"
+        else:
+            return routine
+
+
+def get_routine_parameters(fn: RoutineFn) -> list[Parameter]:
+    """Extract parameter information from a routine, excluding standard parameters"""
+    # Cast to Callable to access function attributes
+    func = cast(Callable, fn)
+    parameters = dict(inspect.signature(func).parameters)
+    return [
+        Parameter(
+            name=param_name,
+            type=param.annotation,
+            description=None,
+            default_value=param.default,
+        )
+        for param_name, param in parameters.items()
+        if param_name not in STANDARD_PARAMS
+    ]
+
+
+def get_routine_usage(fn: RoutineFn, name: str | None = None) -> RoutineUsage:
+    """Get the usage documentation for a routine"""
+    func = cast(Callable, fn)
+    routine_name = name if name is not None else getattr(func, "__name__", "unnamed_routine")
+    routine_description = inspect.getdoc(func) or ""
+    return RoutineUsage(name=routine_name, parameters=get_routine_parameters(fn), description=routine_description)
diff --git a/libraries/python/skills/skill-library/uv.lock b/libraries/python/skills/skill-library/uv.lock
index e907d458..830dbb50 100644
--- a/libraries/python/skills/skill-library/uv.lock
+++ b/libraries/python/skills/skill-library/uv.lock
@@ -174,14 +174,12 @@ name = "assistant-drive"
 version = "0.1.0"
 source = { editable = "../../assistant-drive" }
 dependencies = [
-    { name = "context" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "context", editable = "../../context" },
     { name = "pydantic", specifier = ">=2.6.1" },
     { name = "pydantic-settings", specifier = ">=2.5.2" },
 ]
@@ -416,7 +414,7 @@ name = "click"
 version = "8.1.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/96/d3/f04c7bfcf5c1862a2a5b845c6b2b360488cf47af55dfa79c98f6a6bf98b5/click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de", size = 336121 }
 wheels = [
@@ -432,25 +430,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335 },
 ]
 
-[[package]]
-name = "context"
-version = "0.1.0"
-source = { editable = "../../context" }
-dependencies = [
-    { name = "events" },
-]
-
-[package.metadata]
-requires-dist = [{ name = "events", editable = "../../events" }]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.389" },
-    { name = "pytest", specifier = ">=8.3.1" },
-    { name = "pytest-asyncio", specifier = ">=0.23.8" },
-    { name = "pytest-repeat", specifier = ">=0.9.3" },
-]
-
 [[package]]
 name = "cryptography"
 version = "43.0.3"
@@ -1109,7 +1088,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
@@ -1627,7 +1606,6 @@ source = { editable = "." }
 dependencies = [
     { name = "assistant-drive" },
     { name = "assistant-extensions", extra = ["attachments"] },
-    { name = "context" },
     { name = "events" },
     { name = "openai" },
     { name = "openai-client" },
@@ -1651,7 +1629,6 @@ dev = [
 requires-dist = [
     { name = "assistant-drive", editable = "../../assistant-drive" },
     { name = "assistant-extensions", extras = ["attachments"], editable = "../../assistant-extensions" },
-    { name = "context", editable = "../../context" },
     { name = "events", editable = "../../events" },
     { name = "openai", specifier = ">=1.16.1" },
     { name = "openai-client", editable = "../../openai-client" },
@@ -1727,7 +1704,7 @@ name = "tqdm"
 version = "4.67.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/e8/4f/0153c21dc5779a49a0598c445b1978126b1344bab9ee71e53e44877e14e0/tqdm-4.67.0.tar.gz", hash = "sha256:fe5a6f95e6fe0b9755e9469b77b9c3cf850048224ecaa8293d7d2d31f97d869a", size = 169739 }
 wheels = [
diff --git a/libraries/python/skills/skills/Makefile b/libraries/python/skills/skills/Makefile
deleted file mode 100644
index 4f6df62e..00000000
--- a/libraries/python/skills/skills/Makefile
+++ /dev/null
@@ -1,2 +0,0 @@
-repo_root = $(shell git rev-parse --show-toplevel)
-include $(repo_root)/tools/makefiles/recursive.mk
diff --git a/libraries/python/skills/skills/README.md b/libraries/python/skills/skills/README.md
deleted file mode 100644
index 5c2c84d9..00000000
--- a/libraries/python/skills/skills/README.md
+++ /dev/null
@@ -1,8 +0,0 @@
-# Skills
-
-This is a directory of individual skills that can be added to and used by an
-[assistant](../skill-library/skill_library/assistant.py).
-
-Each is a separate python package.
-
-Read more about skills [here](../README.md).
diff --git a/libraries/python/skills/skills/common-skill/.vscode/settings.json b/libraries/python/skills/skills/common-skill/.vscode/settings.json
deleted file mode 100644
index 90597527..00000000
--- a/libraries/python/skills/skills/common-skill/.vscode/settings.json
+++ /dev/null
@@ -1,59 +0,0 @@
-{
-  "editor.bracketPairColorization.enabled": true,
-  "editor.codeActionsOnSave": {
-    "source.fixAll": "always",
-    "source.organizeImports": "always"
-  },
-  "editor.defaultFormatter": "esbenp.prettier-vscode",
-  "editor.formatOnPaste": true,
-  "editor.formatOnSave": true,
-  "editor.formatOnType": true,
-  "editor.guides.bracketPairs": "active",
-  "files.eol": "\n",
-  "files.trimTrailingWhitespace": true,
-  "flake8.ignorePatterns": ["**/*.py"], // disable flake8 in favor of ruff
-  "jupyter.debugJustMyCode": false,
-  "python.analysis.autoFormatStrings": true,
-  "python.analysis.autoImportCompletions": true,
-  "python.analysis.diagnosticMode": "workspace",
-  "python.analysis.fixAll": ["source.unusedImports"],
-  "python.analysis.inlayHints.functionReturnTypes": true,
-  "python.analysis.typeCheckingMode": "standard",
-  "python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python",
-  "python.testing.pytestEnabled": true,
-  "search.exclude": {
-    "**/.venv": true,
-    "**/data": true
-  },
-  "[json]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[jsonc]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[python]": {
-    "editor.defaultFormatter": "charliermarsh.ruff",
-    "editor.formatOnSave": true,
-    "editor.codeActionsOnSave": {
-      "source.fixAll": "explicit",
-      "source.unusedImports": "explicit",
-      "source.organizeImports": "explicit",
-      "source.formatDocument": "explicit"
-    }
-  },
-  "ruff.nativeServer": "on",
-  "cSpell.words": [
-    "dotenv",
-    "httpx",
-    "openai",
-    "pydantic",
-    "pypdf",
-    "pyproject",
-    "runtimes",
-    "tiktoken",
-    "venv",
-    "virtualenvs"
-  ]
-}
diff --git a/libraries/python/skills/skills/common-skill/Makefile b/libraries/python/skills/skills/common-skill/Makefile
deleted file mode 100644
index 1ad4520a..00000000
--- a/libraries/python/skills/skills/common-skill/Makefile
+++ /dev/null
@@ -1,2 +0,0 @@
-repo_root = $(shell git rev-parse --show-toplevel)
-include $(repo_root)/tools/makefiles/python.mk
diff --git a/libraries/python/skills/skills/common-skill/README.md b/libraries/python/skills/skills/common-skill/README.md
deleted file mode 100644
index 7dbd3057..00000000
--- a/libraries/python/skills/skills/common-skill/README.md
+++ /dev/null
@@ -1 +0,0 @@
-# Common Skill
diff --git a/libraries/python/skills/skills/common-skill/common_skill/__init__.py b/libraries/python/skills/skills/common-skill/common_skill/__init__.py
deleted file mode 100644
index 4b7404fe..00000000
--- a/libraries/python/skills/skills/common-skill/common_skill/__init__.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from common_skill.common_skill import CommonSkill, CommonSkillDefinition
-
-__all__ = [
-    "CommonSkill",
-    "CommonSkillDefinition",
-]
diff --git a/libraries/python/skills/skills/common-skill/common_skill/actions/__init__.py b/libraries/python/skills/skills/common-skill/common_skill/actions/__init__.py
deleted file mode 100644
index b9648e89..00000000
--- a/libraries/python/skills/skills/common-skill/common_skill/actions/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from .gpt_complete import gpt_complete
-from .web_search import web_search
-
-__all__ = ["gpt_complete", "web_search"]
diff --git a/libraries/python/skills/skills/common-skill/common_skill/actions/web_search.py b/libraries/python/skills/skills/common-skill/common_skill/actions/web_search.py
deleted file mode 100644
index 64895643..00000000
--- a/libraries/python/skills/skills/common-skill/common_skill/actions/web_search.py
+++ /dev/null
@@ -1,184 +0,0 @@
-import json
-import os
-
-import requests
-from bs4 import BeautifulSoup
-from dotenv import load_dotenv
-from openai_client import (
-    CompletionError,
-    create_system_message,
-    create_user_message,
-    extra_data,
-    make_completion_args_serializable,
-    message_content_from_completion,
-    validate_completion,
-)
-from skill_library.types import LanguageModel, Metadata
-
-from ..logging import logger
-
-
-async def generate_search_query(language_model: LanguageModel, search_description: str) -> tuple[str, Metadata]:
-    """Generate a search query from the search_description."""
-    completion_args = {
-        "model": "gpt-4o",
-        "messages": [
-            create_system_message(
-                "You are a part of an AGI system that searches for information. Take the user's description of what they want to search for and return an appropriate search query to use in Bing. Only the top three results will be used, so make the search query detailed.",
-            ),
-            create_user_message(
-                f"{search_description}",
-            ),
-        ],
-    }
-
-    metadata = {}
-    logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args)))
-    metadata["completion_args"] = make_completion_args_serializable(completion_args)
-    try:
-        completion = await language_model.beta.chat.completions.parse(
-            **completion_args,
-        )
-        validate_completion(completion)
-        logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()}))
-        metadata["completion"] = completion.model_dump()
-    except Exception as e:
-        completion_error = CompletionError(e)
-        metadata["completion_error"] = completion_error.message
-        logger.error(
-            completion_error.message,
-            extra=extra_data({"completion_error": completion_error.body, "metadata": metadata}),
-        )
-        raise completion_error from e
-    else:
-        search_query = message_content_from_completion(completion).strip().strip('"')
-        return search_query, metadata
-
-
-async def summarize_results(
-    language_model: LanguageModel, search_description: str, results: str
-) -> tuple[str, Metadata]:
-    """Summarize the search results to answer the search description."""
-    completion_args = {
-        "model": "gpt-4o",
-        "messages": [
-            create_system_message(
-                (
-                    "You are a web page content extractor and summarizer. Extract the relevant information to answer the user's query.\n\n"
-                    f"CONTENT:\n{json.dumps(results)}"
-                )
-            ),
-            create_user_message(search_description),
-        ],
-    }
-
-    metadata = {}
-    logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args)))
-    metadata["completion_args"] = make_completion_args_serializable(completion_args)
-    try:
-        completion = await language_model.beta.chat.completions.parse(
-            **completion_args,
-        )
-        validate_completion(completion)
-        logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()}))
-        metadata["completion"] = completion.model_dump()
-    except Exception as e:
-        completion_error = CompletionError(e)
-        metadata["completion_error"] = completion_error.message
-        logger.error(
-            completion_error.message,
-            extra=extra_data({"completion_error": completion_error.body, "metadata": metadata}),
-        )
-        raise completion_error from e
-    else:
-        return message_content_from_completion(completion), metadata
-
-
-async def summarize_all_results(
-    language_model: LanguageModel, search_description: str, results: dict[str, str]
-) -> tuple[str, Metadata]:
-    """Summarize all search results to answer the search description."""
-    completion_args = {
-        "model": "gpt-4o",
-        "messages": [
-            create_system_message(f"Summarize the following content to answer the user's query: {search_description}"),
-            create_user_message(json.dumps(results)),
-        ],
-    }
-
-    metadata = {}
-    logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args)))
-    metadata["completion_args"] = make_completion_args_serializable(completion_args)
-    try:
-        completion = await language_model.beta.chat.completions.parse(
-            **completion_args,
-        )
-        validate_completion(completion)
-        logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()}))
-        metadata["completion"] = completion.model_dump()
-    except Exception as e:
-        completion_error = CompletionError(e)
-        metadata["completion_error"] = completion_error.message
-        logger.error(
-            completion_error.message,
-            extra=extra_data({"completion_error": completion_error.body, "metadata": metadata}),
-        )
-        raise completion_error from e
-    else:
-        return message_content_from_completion(completion), metadata
-
-
-async def web_search(language_model: LanguageModel, search_description: str) -> tuple[str, Metadata]:
-    """Bing search using the search_description. Returns summarized web content
-    from the top web search results to specifically answer the search
-    description. Only necessary for facts and info not contained in GPT-4."""
-
-    full_metadata: Metadata = {}
-
-    search_query, metadata = await generate_search_query(language_model, search_description)
-    full_metadata["generate_search_query"] = metadata
-
-    # Use BingAPI to search.
-    # Get Bing search subscription key.
-    load_dotenv()
-    subscription_key = os.getenv("BING_SEARCH_SUBSCRIPTION_KEY")
-    if not subscription_key:
-        raise Exception("BING_SEARCH_SUBSCRIPTION_KEY not found in .env.")
-    search_url = "https://api.bing.microsoft.com/v7.0/search"
-    headers = {"Ocp-Apim-Subscription-Key": subscription_key}
-    params = {"q": search_query, "textDecorations": False}
-    response = requests.get(search_url, headers=headers, params=params)
-    response.raise_for_status()
-    search_results = response.json()
-    values = search_results.get("webPages", {}).get("value", "")[:7]
-    urls = [v["url"] for v in values]
-    results = {}
-
-    debug_i = 0
-    for url in urls:
-        # Get webpage content from url.
-        try:
-            response = requests.get(url)
-            if response.status_code >= 200 and response.status_code < 300:
-                soup = BeautifulSoup(response.text, "html.parser")
-                content = soup.get_text(separator="\n", strip=True)
-                # Get first 5000 characters.
-                # TODO: We can RAG or something instead of this scrappy thing.
-                content = content[:5000]
-
-                # Summarize search content.
-                summary, metadata = await summarize_results(language_model, search_description, content)
-                full_metadata[f"summarize_results_{debug_i}"] = metadata
-                results[url] = summary
-            else:
-                results[url] = f"Error: {response.status_code}"
-        except Exception as e:
-            results[url] = f"Error: {e}"
-
-        debug_i += 1
-
-    # Summarize all results.
-    response, metadata = await summarize_all_results(language_model, search_description, results)
-    full_metadata["summarize_all_results"] = metadata
-
-    return response, full_metadata
diff --git a/libraries/python/skills/skills/common-skill/common_skill/common_skill.py b/libraries/python/skills/skills/common-skill/common_skill/common_skill.py
deleted file mode 100644
index 53538e97..00000000
--- a/libraries/python/skills/skills/common-skill/common_skill/common_skill.py
+++ /dev/null
@@ -1,98 +0,0 @@
-from assistant_drive import Drive
-from openai_client.chat_driver import ChatDriverConfig
-from skill_library import ActionCallable, ChatDriverFunctions, RunContext, RunContextProvider, Skill, SkillDefinition
-from skill_library.routine import RoutineTypes
-from skill_library.types import LanguageModel
-
-from common_skill.routines.demo_program_routine import get_demo_program_routine
-
-from .actions import gpt_complete, web_search
-from .routines.demo_action_list_routine import get_demo_action_list_routine
-
-CLASS_NAME = "CommonSkill"
-DESCRIPTION = "Provides common actions and routines."
-INSTRUCTIONS = "You are an assistant."
-
-
-class CommonSkill(Skill):
-    def __init__(
-        self,
-        skill_definition: "CommonSkillDefinition",
-        run_context_provider: RunContextProvider,
-    ) -> None:
-        self.skill_name = skill_definition.name
-        self.language_model = skill_definition.language_model
-        self.drive = skill_definition.drive
-
-        action_functions: list[ActionCallable] = ActionFunctions(
-            skill_definition.language_model
-        ).list_action_functions()
-
-        routines: list[RoutineTypes] = [
-            get_demo_action_list_routine(self.skill_name),
-            get_demo_program_routine(self.skill_name),
-        ]
-
-        # Configure the skill's chat driver. This is just used for testing the
-        # skill out directly, but won't be exposed in the assistant.
-        if skill_definition.chat_driver_config:
-            chat_driver_commands = ChatDriverFunctions(action_functions, run_context_provider).all()
-            chat_driver_functions = ChatDriverFunctions(action_functions, run_context_provider).all()
-            skill_definition.chat_driver_config.commands = chat_driver_commands
-            skill_definition.chat_driver_config.functions = chat_driver_functions
-
-        # Initialize the skill!
-        super().__init__(
-            skill_definition=skill_definition,
-            run_context_provider=run_context_provider,
-            actions=action_functions,
-            routines=routines,
-        )
-
-
-class ActionFunctions:
-    """
-    Using a class like this might be a good pattern for declaring actions. It
-    allows the injection of things while allowing the method signature from
-    /list_actions to not need to include them. FOr example, the `gpt_complete`
-    method needs a language model, but we can just initialize it to use the
-    skill's language model (above).
-    """
-
-    def __init__(self, language_model: LanguageModel) -> None:
-        self.language_model = language_model
-
-    async def gpt_complete(self, run_context: RunContext, prompt: str) -> str:
-        content, metadata = await gpt_complete(self.language_model, prompt)
-        return content
-
-    async def web_search(self, run_context: RunContext, query: str) -> str:
-        content, metadata = await web_search(self.language_model, query)
-        return content
-
-    def list_action_functions(self) -> list[ActionCallable]:
-        return [self.gpt_complete, self.web_search]
-
-
-class CommonSkillDefinition(SkillDefinition):
-    def __init__(
-        self,
-        name: str,
-        language_model: LanguageModel,
-        drive: Drive,
-        description: str | None = None,
-        chat_driver_config: ChatDriverConfig | None = None,
-    ) -> None:
-        self.language_model = language_model
-        self.drive = drive
-
-        if chat_driver_config:
-            chat_driver_config.instructions = INSTRUCTIONS
-
-        # Initialize the skill!
-        super().__init__(
-            name=name,
-            skill_class=CommonSkill,
-            description=description or DESCRIPTION,
-            chat_driver_config=chat_driver_config,
-        )
diff --git a/libraries/python/skills/skills/common-skill/common_skill/routines/demo_action_list_routine.py b/libraries/python/skills/skills/common-skill/common_skill/routines/demo_action_list_routine.py
deleted file mode 100644
index 22d34abc..00000000
--- a/libraries/python/skills/skills/common-skill/common_skill/routines/demo_action_list_routine.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from textwrap import dedent
-
-from skill_library import ActionListRoutine
-
-
-def get_demo_action_list_routine(skill_name: str) -> ActionListRoutine:
-    return ActionListRoutine(
-        name="demo_action_list_routine",
-        skill_name=skill_name,
-        description="A demo action list routine.",
-        routine=dedent("""
-            0: common.web_search("{{stock_ticker}} stock price")
-            1: common.gpt_complete("Write this like a cowboy: {{0}}")
-            2: posix.write_file("output.txt", "{{1}}")
-            3: print("{{1}}")
-        """),
-    )
diff --git a/libraries/python/skills/skills/common-skill/common_skill/routines/demo_program_routine.py b/libraries/python/skills/skills/common-skill/common_skill/routines/demo_program_routine.py
deleted file mode 100644
index 93ffda42..00000000
--- a/libraries/python/skills/skills/common-skill/common_skill/routines/demo_program_routine.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from textwrap import dedent
-
-from skill_library import ProgramRoutine
-
-
-def get_demo_program_routine(skill_name: str) -> ProgramRoutine:
-    return ProgramRoutine(
-        name="demo_program_routine",
-        skill_name=skill_name,
-        description="A demo program routine.",
-        program=dedent("""
-            result = common.web_search("{{stock_ticker}} stock price")
-            cowboy = common.gpt_complete(f"Write this like a cowboy: {result}")
-            posix.write_file("output.txt", cowboy)
-            print(cowboy)
-        """),
-    )
diff --git a/libraries/python/skills/skills/common-skill/notebooks/usage.ipynb b/libraries/python/skills/skills/common-skill/notebooks/usage.ipynb
deleted file mode 100644
index 269cd8ea..00000000
--- a/libraries/python/skills/skills/common-skill/notebooks/usage.ipynb
+++ /dev/null
@@ -1,143 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%reload_ext autoreload\n",
-    "%autoreload 2\n",
-    "\n",
-    "import sys\n",
-    "from pathlib import Path\n",
-    "import logging\n",
-    "from skill_library.logging import file_logging_handler\n",
-    "\n",
-    "# Add the src directory to sys.path\n",
-    "path = str(Path().resolve().parent)\n",
-    "if path not in sys.path:\n",
-    "    sys.path.insert(0, path)\n",
-    "\n",
-    "print(sys.path)\n",
-    "\n",
-    "# load_dotenv()\n",
-    "# print(str(dict(os.environ.items())))\n",
-    "\n",
-    "# Set up structured logging to a file. All of the cells in this notebook use\n",
-    "# this logger. Find them at .data/logs.jsonl.\n",
-    "\n",
-    "# Mute some noisy loggers.\n",
-    "modules = ['httpcore.connection', 'httpcore.http11', 'httpcore.sync.connection', 'httpx', 'openai', 'urllib3.connectionpool', 'urllib3.util.retry']\n",
-    "for module in modules:\n",
-    "    logging.getLogger(module).setLevel(logging.ERROR)\n",
-    "\n",
-    "# Set up the file logging.\n",
-    "logger = logging.getLogger()\n",
-    "logger.setLevel(logging.DEBUG)\n",
-    "logger.handlers.clear()\n",
-    "file_handler = file_logging_handler(Path('.data') / 'logs.jsonl')\n",
-    "logger.addHandler(file_handler)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%reload_ext autoreload\n",
-    "%autoreload 2\n",
-    "\n",
-    "from pathlib import Path\n",
-    "import asyncio\n",
-    "import os\n",
-    "\n",
-    "from assistant_drive import Drive, DriveConfig\n",
-    "from openai_client import AzureOpenAIAzureIdentityAuthConfig, AzureOpenAIServiceConfig, create_client\n",
-    "from openai_client.chat_driver import ChatDriverConfig\n",
-    "from pydantic_core import Url\n",
-    "from skill_library import Skill, Assistant\n",
-    "\n",
-    "from guided_conversation_skill import GuidedConversationSkill\n",
-    "from guided_conversation_skill.conversation_guides.acrostic_poem import definition\n",
-    "\n",
-    "azure_openai_endpoint = os.environ.get(\"AZURE_OPENAI_ENDPOINT\", \"https://lightspeed-team-shared-openai-eastus.openai.azure.com/\")\n",
-    "azure_openai_deployment = os.environ.get(\"AZURE_OPENAI_DEPLOYMENT\", \"gpt-4o\")\n",
-    "\n",
-    "service_config = AzureOpenAIServiceConfig(\n",
-    "    auth_config=AzureOpenAIAzureIdentityAuthConfig(),\n",
-    "    azure_openai_endpoint=Url(azure_openai_endpoint),\n",
-    "    azure_openai_deployment=azure_openai_deployment,\n",
-    ")\n",
-    "language_model = create_client(service_config)\n",
-    "\n",
-    "\n",
-    "# Configure the skill and its dependencies.\n",
-    "path = Path(\".data/assistant-1\")\n",
-    "drive = Drive(DriveConfig(root=path))\n",
-    "definition.resource_constraint.quantity = 5  # type: ignore\n",
-    "skill = GuidedConversationSkill(name=\"guided_conversation\", language_model=language_model, definition=definition, drive=drive.subdrive(\"gc1\"))\n",
-    "skill_dependency_tree: dict[str, Skill] = {skill.name: skill}\n",
-    "\n",
-    "# Define the assistant.\n",
-    "chat_driver_config = ChatDriverConfig(\n",
-    "    openai_client=language_model,\n",
-    "    model=\"gpt-4o\",\n",
-    "    instructions=\"You are a helpful assistant.\",\n",
-    ")\n",
-    "\n",
-    "assistant = Assistant(name=\"Alice\", assistant_id=\"gc-assistant-123\", chat_driver_config=chat_driver_config, skills=skill_dependency_tree, startup_routine=\"guided_conversation.conversation\")\n",
-    "await assistant.clear()\n",
-    "await assistant.start()\n",
-    "\n",
-    "\n",
-    "# Function that allows user input in a non-blocking manner.\n",
-    "async def user_input_handler() -> None:\n",
-    "    while True:\n",
-    "        user_input = await asyncio.to_thread(input, \"User: \")\n",
-    "        if user_input == \"\":\n",
-    "            assistant.stop()\n",
-    "            break\n",
-    "        print(f\"User: {user_input}\", flush=True)\n",
-    "        await assistant.put_message(user_input)\n",
-    "\n",
-    "\n",
-    "# Start the user input in a non-blocking way.\n",
-    "input_task = asyncio.create_task(user_input_handler())\n",
-    "\n",
-    "# Start the assistant.\n",
-    "async for event in assistant.events:\n",
-    "    print(f\"Assistant: {event.message}\", flush=True)  # type: ignore\n",
-    "    if event.message == \"Conversation complete!\":\n",
-    "        print()\n",
-    "        break\n",
-    "\n",
-    "await assistant.wait()\n",
-    "await input_task\n",
-    "\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": ".venv",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/libraries/python/skills/skills/common-skill/pyproject.toml b/libraries/python/skills/skills/common-skill/pyproject.toml
deleted file mode 100644
index 40bfb888..00000000
--- a/libraries/python/skills/skills/common-skill/pyproject.toml
+++ /dev/null
@@ -1,49 +0,0 @@
-[project]
-name = "common-skill"
-version = "0.1.0"
-description = "MADE:Exploration common skill for common actions and routines."
-authors = [{ name = "MADE:Exploration" }]
-readme = "README.md"
-requires-python = ">=3.11"
-dependencies = [
-    "assistant-drive>=0.1.0",
-    "bs4>=0.0.2",
-    "events>=0.1.0",
-    "jsonschema>=4.23.0",
-    "openai-client>=0.1.0",
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diff --git a/libraries/python/skills/skills/document-skill/.vscode/settings.json b/libraries/python/skills/skills/document-skill/.vscode/settings.json
deleted file mode 100644
index 1c648aeb..00000000
--- a/libraries/python/skills/skills/document-skill/.vscode/settings.json
+++ /dev/null
@@ -1,63 +0,0 @@
-{
-  "editor.bracketPairColorization.enabled": true,
-  "editor.codeActionsOnSave": {
-    "source.fixAll": "always",
-    "source.organizeImports": "always"
-  },
-  "editor.defaultFormatter": "esbenp.prettier-vscode",
-  "editor.formatOnPaste": true,
-  "editor.formatOnSave": true,
-  "editor.formatOnType": true,
-  "editor.guides.bracketPairs": "active",
-  "files.eol": "\n",
-  "files.trimTrailingWhitespace": true,
-  "jupyter.debugJustMyCode": false,
-  "python.analysis.autoFormatStrings": true,
-  "python.analysis.autoImportCompletions": true,
-  "python.analysis.diagnosticMode": "workspace",
-  "python.analysis.fixAll": ["source.unusedImports"],
-  "python.analysis.inlayHints.functionReturnTypes": true,
-  "python.analysis.typeCheckingMode": "standard",
-  "python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python",
-  "python.testing.cwd": "${workspaceFolder}",
-  "search.exclude": {
-    "**/.venv": true,
-    "**/data": true
-  },
-  "[json]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[jsonc]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[python]": {
-    "editor.defaultFormatter": "charliermarsh.ruff",
-    "editor.formatOnSave": true,
-    "editor.codeActionsOnSave": {
-      "source.fixAll": "explicit",
-      "source.unusedImports": "explicit",
-      "source.organizeImports": "explicit",
-      "source.formatDocument": "explicit"
-    }
-  },
-  "ruff.nativeServer": "on",
-  // For use with optional extension: "streetsidesoftware.code-spell-checker"
-  "cSpell.ignorePaths": [
-    ".venv",
-    "node_modules",
-    "package-lock.json",
-    "settings.json",
-    "uv.lock"
-  ],
-  "cSpell.words": [
-    "dotenv",
-    "httpx",
-    "openai",
-    "pydantic",
-    "pypdf",
-    "runtimes",
-    "tiktoken"
-  ]
-}
diff --git a/libraries/python/skills/skills/document-skill/Makefile b/libraries/python/skills/skills/document-skill/Makefile
deleted file mode 100644
index 1ad4520a..00000000
--- a/libraries/python/skills/skills/document-skill/Makefile
+++ /dev/null
@@ -1,2 +0,0 @@
-repo_root = $(shell git rev-parse --show-toplevel)
-include $(repo_root)/tools/makefiles/python.mk
diff --git a/libraries/python/skills/skills/document-skill/README.md b/libraries/python/skills/skills/document-skill/README.md
deleted file mode 100644
index cb86b9a0..00000000
--- a/libraries/python/skills/skills/document-skill/README.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# Document Skill
-
-## _IMPORTANT!_
-
-This skill is not yet functional. It is a WIP as we figure out patterns for skill routines!
diff --git a/libraries/python/skills/skills/document-skill/document_skill/__init__.py b/libraries/python/skills/skills/document-skill/document_skill/__init__.py
deleted file mode 100644
index cc565ff1..00000000
--- a/libraries/python/skills/skills/document-skill/document_skill/__init__.py
+++ /dev/null
@@ -1,9 +0,0 @@
-from document_skill.document_skill import Attachment, DocumentSkillContext
-from document_skill.document_skill import DocumentSkill
-
-
-__all__ = [
-    "Attachment",
-    "DocumentSkillContext",
-    "DocumentSkill",
-]
diff --git a/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/__init__.py b/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/__init__.py
deleted file mode 100644
index 58a4b776..00000000
--- a/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/__init__.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from .draft_content import draft_content
-from .draft_outline import draft_outline
-from .get_user_feedback_for_outline_decision import get_user_feedback_for_outline_decision
-from .get_user_feedback_for_page_decision import get_user_feedback_for_page_decision
-
-__all__ = [
-    "draft_content",
-    "draft_outline",
-    "get_user_feedback_for_outline_decision",
-    "get_user_feedback_for_page_decision",
-]
diff --git a/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/draft_content.py b/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/draft_content.py
deleted file mode 100644
index c1083157..00000000
--- a/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/draft_content.py
+++ /dev/null
@@ -1,84 +0,0 @@
-from openai import AsyncAzureOpenAI, AsyncOpenAI
-from openai_client.chat_driver import (
-    ChatDriver,
-    ChatDriverConfig,
-    InMemoryMessageHistoryProvider,
-)
-from openai_client.messages import format_with_liquid
-
-from ..document_skill import Outline, Paper
-
-
-async def draft_content(
-    session_id: str,
-    open_ai_client: AsyncOpenAI | AsyncAzureOpenAI,
-    chat_history: str,
-    attachments: list,
-    outline_versions: list[Outline] = [],
-    paper_versions: list[Paper] = [],
-    user_feedback: str | None = None,
-    decision: str | None = None,
-):
-    history = InMemoryMessageHistoryProvider(formatter=format_with_liquid)
-
-    if decision == "[ITERATE]":
-        await history.append_system_message(
-            (
-                "Following the structure of the outline, iterate on the currently drafted page of the"
-                " document. It's more important to maintain an appropriately useful level of detail. "
-                " After this page is iterated upon, the system will follow up"
-                " and ask for the next page."
-            )
-        )
-
-    else:
-        await history.append_system_message(
-            (
-                "Following the structure of the outline, create the content for the next (or first) page of the"
-                " document - don't try to create the entire document in one pass nor wrap it up too quickly, it will be a"
-                " multi-page document so just create the next page. It's more important to maintain"
-                " an appropriately useful level of detail. After this page is generated, the system will follow up"
-                " and ask for the next page. If you have already generated all the pages for the"
-                " document as defined in the outline, return empty content."
-            )
-        )
-
-    await history.append_system_message("<CHAT_HISTORY>{{chat_history}}</CHAT_HISTORY>", {"chat_history": chat_history})
-
-    for item in attachments:
-        await history.append_system_message(
-            "<ATTACHMENT><FILENAME>{{item.filename}}</FILENAME><CONTENT>{{item.content}}</CONTENT></ATTACHMENT>",
-            {"item": item},
-        )
-
-    if outline_versions:
-        last_outline = outline_versions[-1]
-        await history.append_system_message(
-            "<APPROVED_OUTLINE>{{last_outline}}</APPROVED_OUTLINE>", {"last_outline": last_outline}
-        )
-
-    if paper_versions:
-        if decision == "[ITERATE]" and user_feedback:
-            content = paper_versions[-1].contents[-1].content
-            await history.append_system_message(
-                "<EXISTING_CONTENT>{{content}}</EXISTING_CONTENT>", {"content": content}
-            )
-            await history.append_system_message(
-                "<USER_FEEDBACK>{{user_feedback}}</USER_FEEDBACK>", {"user_feedback": user_feedback}
-            )
-        else:
-            full_content = ""
-            for content in paper_versions[-1].contents:
-                full_content += content.content
-            await history.append_system_message(
-                "<EXISTING_CONTENT>{{content}}</EXISTING_CONTENT>", {"content": full_content}
-            )
-
-    config = ChatDriverConfig(
-        openai_client=open_ai_client,
-        model="gpt-3.5-turbo",
-        message_provider=history,
-    )
-
-    chat_driver = ChatDriver(config)
-    return await chat_driver.respond()
diff --git a/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/draft_outline.py b/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/draft_outline.py
deleted file mode 100644
index 819243d0..00000000
--- a/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/draft_outline.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from openai import AsyncAzureOpenAI, AsyncOpenAI
-from openai_client.chat_driver import ChatDriver, ChatDriverConfig, InMemoryMessageHistoryProvider
-from openai_client.messages import format_with_liquid
-
-from ..document_skill import Outline
-
-
-async def draft_outline(
-    session_id: str,
-    open_ai_client: AsyncOpenAI | AsyncAzureOpenAI,
-    chat_history: str,
-    attachments: list,
-    outline_versions: list[Outline] = [],
-    user_feedback: str | None = None,
-):
-    history = InMemoryMessageHistoryProvider(formatter=format_with_liquid)
-
-    await history.append_system_message(
-        (
-            "Generate an outline for the document, including title. The outline should include the key points that will"
-            " be covered in the document. Consider the attachments, the rationale for why they were uploaded, and the"
-            " conversation that has taken place. The outline should be a hierarchical structure with multiple levels of"
-            " detail, and it should be clear and easy to understand. The outline should be generated in a way that is"
-            " consistent with the document that will be generated from it."
-        )
-    )
-
-    await history.append_system_message("<CHAT_HISTORY>{{chat_history}}</CHAT_HISTORY>", {"chat_history": chat_history})
-
-    for item in attachments:
-        await history.append_system_message(
-            "<ATTACHMENT><FILENAME>{{item.filename}}</FILENAME><CONTENT>{{item.content}}</CONTENT></ATTACHMENT>",
-            {"item": item},
-        )
-
-    if len(outline_versions):
-        last_outline = outline_versions[-1]
-        await history.append_system_message(
-            "<EXISTING_OUTLINE>{{last_outline}}</EXISTING_OUTLINE>", {"last_outline": last_outline}
-        )
-
-    if user_feedback is not None:
-        await history.append_system_message(
-            "<USER_FEEDBACK>{{user_feedback}}</USER_FEEDBACK>", {"user_feedback": user_feedback}
-        )
-
-    config = ChatDriverConfig(
-        openai_client=open_ai_client,
-        model="gpt-3.5-turbo",
-        message_provider=history,
-    )
-
-    chat_driver = ChatDriver(config)
-    return await chat_driver.respond()
diff --git a/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/get_user_feedback_for_outline_decision.py b/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/get_user_feedback_for_outline_decision.py
deleted file mode 100644
index 84a8fd46..00000000
--- a/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/get_user_feedback_for_outline_decision.py
+++ /dev/null
@@ -1,73 +0,0 @@
-from openai import AsyncAzureOpenAI, AsyncOpenAI
-from openai_client.chat_driver import ChatDriver, ChatDriverConfig, InMemoryMessageHistoryProvider
-from openai_client.messages import format_with_liquid
-
-from ..document_skill import Outline, Paper
-
-
-async def get_user_feedback_for_outline_decision(
-    session_id: str,
-    open_ai_client: AsyncOpenAI | AsyncAzureOpenAI,
-    chat_history: str,
-    outline_versions: list[Outline] = [],
-    paper_versions: list[Paper] = [],
-    user_feedback: str | None = None,
-    outline: bool = False,
-):
-    history = InMemoryMessageHistoryProvider(formatter=format_with_liquid)
-
-    if outline:
-        await history.append_system_message(
-            (
-                "Use the user's most recent feedback to determine if the user wants to iterate further on the"
-                " provided outline [ITERATE], or if the user is ready to move on to drafting a paper from the"
-                " provided outline [CONTINUE]. Based on the user's feedback on the provided outline, determine if"
-                " the user wants to [ITERATE], [CONTINUE], or [QUIT]. Reply with ONLY [ITERATE], [CONTINUE], or [QUIT]."
-            )
-        )
-    else:
-        await history.append_system_message(
-            (
-                "You are an AI assistant that helps draft outlines for a future flushed-out document."
-                " You use the user's most recent feedback to determine if the user wants to iterate further on the"
-                " provided draft content [ITERATE], or if the user is ready to move on to drafting new additional content"
-                " [CONTINUE]. Based on the user's feedback on the provided drafted content, determine if"
-                " the user wants to [ITERATE], [CONTINUE], or [QUIT]. Reply with ONLY [ITERATE], [CONTINUE], or [QUIT]."
-            )
-        )
-
-    await history.append_system_message("<CHAT_HISTORY>{{chat_history}}</CHAT_HISTORY>", {"chat_history": chat_history})
-
-    if len(outline_versions):
-        last_outline_content = outline_versions[-1].content
-        if outline:
-            await history.append_system_message(
-                "<EXISTING_OUTLINE>{{outline}}</EXISTING_OUTLINE>", {"outline": last_outline_content}
-            )
-        else:
-            await history.append_system_message(
-                "<APPROVED_OUTLINE>{{outline}}</APPROVED_OUTLINE>", {"outline": last_outline_content}
-            )
-
-    if not outline:
-        if paper_versions:
-            full_paper_content = ""
-            for content in paper_versions[-1].contents:
-                full_paper_content += content.content
-            await history.append_system_message(
-                "<EXISTING_CONTENT>{{content}}</EXISTING_CONTENT>", {"content": full_paper_content}
-            )
-
-    if user_feedback is not None:
-        await history.append_system_message(
-            "<USER_FEEDBACK>{{user_feedback}}</USER_FEEDBACK>", {"user_feedback": user_feedback}
-        )
-
-    config = ChatDriverConfig(
-        openai_client=open_ai_client,
-        model="gpt-3.5-turbo",
-        message_provider=history,
-    )
-
-    chat_driver = ChatDriver(config)
-    return await chat_driver.respond()
diff --git a/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/get_user_feedback_for_page_decision.py b/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/get_user_feedback_for_page_decision.py
deleted file mode 100644
index 4552e758..00000000
--- a/libraries/python/skills/skills/document-skill/document_skill/chat_drivers/get_user_feedback_for_page_decision.py
+++ /dev/null
@@ -1,73 +0,0 @@
-from openai import AsyncAzureOpenAI, AsyncOpenAI
-from openai_client.chat_driver import ChatDriver, ChatDriverConfig, InMemoryMessageHistoryProvider
-from openai_client.messages import format_with_liquid
-
-from ..document_skill import Outline, Paper
-
-
-async def get_user_feedback_for_page_decision(
-    session_id: str,
-    open_ai_client: AsyncOpenAI | AsyncAzureOpenAI,
-    chat_history: str,
-    outline_versions: list[Outline] = [],
-    paper_versions: list[Paper] = [],
-    user_feedback: str | None = None,
-    outline: bool = False,
-):
-    history = InMemoryMessageHistoryProvider(formatter=format_with_liquid)
-
-    if outline:
-        await history.append_system_message(
-            (
-                "Use the user's most recent feedback to determine if the user wants to iterate further on the"
-                " provided outline [ITERATE], or if the user is ready to move on to drafting a paper from the"
-                " provided outline [CONTINUE]. Based on the user's feedback on the provided outline, determine if"
-                " the user wants to [ITERATE], [CONTINUE], or [QUIT]. Reply with ONLY [ITERATE], [CONTINUE], or [QUIT]."
-            )
-        )
-    else:
-        await history.append_system_message(
-            (
-                "You are an AI assistant that helps draft outlines for a future flushed-out document."
-                " You use the user's most recent feedback to determine if the user wants to iterate further on the"
-                " provided draft content [ITERATE], or if the user is ready to move on to drafting new additional content"
-                " [CONTINUE]. Based on the user's feedback on the provided drafted content, determine if"
-                " the user wants to [ITERATE], [CONTINUE], or [QUIT]. Reply with ONLY [ITERATE], [CONTINUE], or [QUIT]."
-            )
-        )
-
-    await history.append_system_message("<CHAT_HISTORY>{{chat_history}}</CHAT_HISTORY>", {"chat_history": chat_history})
-
-    if len(outline_versions):
-        last_outline_content = outline_versions[-1].content
-        if outline:
-            await history.append_system_message(
-                "<EXISTING_OUTLINE>{{outline}}</EXISTING_OUTLINE>", {"outline": last_outline_content}
-            )
-        else:
-            await history.append_system_message(
-                "<APPROVED_OUTLINE>{{outline}}</APPROVED_OUTLINE>", {"outline": last_outline_content}
-            )
-
-    if not outline:
-        if paper_versions:
-            full_paper_content = ""
-            for content in paper_versions[-1].contents:
-                full_paper_content += content.content
-            await history.append_system_message(
-                "<EXISTING_CONTENT>{{content}}</EXISTING_CONTENT>", {"content": full_paper_content}
-            )
-
-    if user_feedback is not None:
-        await history.append_system_message(
-            "<USER_FEEDBACK>{{user_feedback}}</USER_FEEDBACK>", {"user_feedback": user_feedback}
-        )
-
-    config = ChatDriverConfig(
-        openai_client=open_ai_client,
-        model="gpt-3.5-turbo",
-        message_provider=history,
-    )
-
-    chat_driver = ChatDriver(config)
-    return await chat_driver.respond()
diff --git a/libraries/python/skills/skills/document-skill/document_skill/document_skill.py b/libraries/python/skills/skills/document-skill/document_skill/document_skill.py
deleted file mode 100644
index 437e3bf5..00000000
--- a/libraries/python/skills/skills/document-skill/document_skill/document_skill.py
+++ /dev/null
@@ -1,215 +0,0 @@
-# flake8: noqa
-# ruff: noqa
-
-from openai_client.chat_driver import ChatDriverConfig
-from pydantic import BaseModel  # temp to have something to experiment with
-from skill_library import RoutineTypes, RunContextProvider, Skill, SkillDefinition, ChatDriverFunctions
-from skill_library.routine import InstructionRoutine, ProgramRoutine
-from skill_library.types import LanguageModel
-
-from .chat_drivers import draft_content, draft_outline
-from .chat_drivers.get_user_feedback_for_outline_decision import get_user_feedback_for_outline_decision
-
-NAME = "document_skill"
-DESCRIPTION = "Anything related to documents - creation, edit, translation"
-INSTRUCTIONS = "You are an assistant."
-
-
-class Attachment(BaseModel):
-    filename: str
-    content: str
-
-
-class Outline(BaseModel):
-    version: int = 0
-    content: str
-
-
-class Content(BaseModel):
-    content: str  # Content/fragment/page that is created will likely have
-    # data associated with it... not sure what more at this point.
-
-
-class Paper(BaseModel):
-    version: int = 0
-    contents: list[Content] = []
-
-
-class DocumentSkillContext:
-    def __init__(self) -> None:
-        # TODO: Pull in all this state from a Drive.
-        self.chat_history: str = ""
-        self.attachments_list: list[Attachment] = []
-        self.outline_versions: list[Outline] = []
-        self.paper_versions: list[Paper] = []
-
-
-class DocumentSkill(Skill):
-    def __init__(self, skill_definition: "DocumentSkillDefinition", run_context_provider: RunContextProvider) -> None:
-        self.skill_name = skill_definition.name
-        self.openai_client = skill_definition.language_model
-        self.document_skill_context: DocumentSkillContext = DocumentSkillContext()
-
-        action_functions = [
-            # self.ask_user,
-            self.draft_content,
-            self.draft_outline,
-            self.get_user_feedback_decision,
-        ]
-
-        routines: list[RoutineTypes] = [
-            self.test_instruction_routine(),
-        ]
-
-        # Configure the skill's chat driver.
-        if skill_definition.chat_driver_config:
-            chat_driver_commands = ChatDriverFunctions(action_functions, run_context_provider).all()
-            chat_driver_functions = ChatDriverFunctions(action_functions, run_context_provider).all()
-            skill_definition.chat_driver_config.commands = chat_driver_commands
-            skill_definition.chat_driver_config.functions = chat_driver_functions
-
-        super().__init__(
-            skill_definition=skill_definition,
-            run_context_provider=run_context_provider,
-            actions=action_functions,
-            routines=routines,
-        )
-
-    ##################################
-    # Routines
-    ##################################
-
-    def test_instruction_routine(self) -> InstructionRoutine:
-        """
-        Update this routine description.
-        """
-        return InstructionRoutine(
-            name="test_instruction_routine",
-            skill_name=self.skill_name,
-            description="Description of what the routine does.",
-            routine=("test_action"),
-        )
-
-    def template_example_routine(self) -> ProgramRoutine:
-        """
-        Update this routine description.
-        """
-        return ProgramRoutine(
-            name="template_example_routine",
-            skill_name=self.skill_name,
-            description="Description of what the routine does.",
-            program=("TBD"),
-        )
-
-    ##################################
-    # Actions
-    ##################################
-    async def draft_content(
-        self,
-        session_id: str,
-        decision: str | None = None,
-        user_feedback: str | None = None,
-    ) -> str:
-        response = await draft_content(
-            session_id=session_id,
-            open_ai_client=self.openai_client,
-            chat_history=self.document_skill_context.chat_history,
-            attachments=self.document_skill_context.attachments_list,
-            outline_versions=self.document_skill_context.outline_versions,
-            paper_versions=self.document_skill_context.paper_versions,
-            user_feedback=user_feedback,
-            decision=decision,
-        )
-        return response.message or ""
-
-    async def draft_outline(
-        self, session_id: str, decision: str | None = None, user_feedback: str | None = None
-    ) -> str:
-        response = await draft_outline(
-            session_id=session_id,
-            open_ai_client=self.openai_client,
-            chat_history=self.document_skill_context.chat_history,
-            attachments=self.document_skill_context.attachments_list,
-            outline_versions=self.document_skill_context.outline_versions,
-            user_feedback=user_feedback,
-        )
-        return response.message or ""
-
-    async def get_user_feedback_decision(self, session_id: str, user_feedback: str, outline: bool) -> str:
-        response = await get_user_feedback_for_outline_decision(
-            session_id=session_id,
-            open_ai_client=self.openai_client,
-            chat_history=self.document_skill_context.chat_history,
-            outline_versions=self.document_skill_context.outline_versions,
-            paper_versions=self.document_skill_context.paper_versions,
-            user_feedback=user_feedback,
-            outline=outline,
-        )
-        return response.message or ""
-
-    async def routine(self, session_id: str):
-        # Define these vars here to make the following routine look more like a PROGRAM routine.
-        document_skill = self
-
-        async def ask_user(question: str) -> str:
-            return "hello world"
-
-        # Routine.
-        decision = "[ITERATE]"
-        user_feedback: str | None = None
-        while decision == "[ITERATE]":
-            await document_skill.draft_outline(session_id, user_feedback=user_feedback)
-            user_feedback = await ask_user("This look good?")
-            decision = await document_skill.get_user_feedback_decision(session_id, user_feedback, outline=True)
-        if decision == "[QUIT]":
-            exit()
-        await document_skill.draft_content(session_id)
-        user_feedback = await ask_user("This look good?")
-        decision = await document_skill.get_user_feedback_decision(session_id, user_feedback, outline=False)
-        content = ""
-        while decision != "[QUIT]":
-            content = await document_skill.draft_content(session_id, user_feedback=user_feedback, decision=decision)
-            decision, user_feedback = await document_skill.get_user_feedback_decision(
-                session_id, user_feedback, outline=False
-            )
-        return content
-
-        # decision = "[ITERATE]"
-        # while decision == "[ITERATE]":
-        #     document_skill.draft_outline(user_feedback=user_feedback, history=assistant.chat_history)
-        #      guided_conversation.run()
-        #     user_feedback = await ask_user("This look good?")
-        #     decision = document_skill.get_user_feedback_decision(user_feedback, outline=True)
-        # if decision == "[QUIT]":
-        #     exit()
-        # document_skill.draft_content()
-        # user_feedback = ask_user("This look good?")
-        # decision = document_skill.get_user_feedback_decision(user_feedback, outline=False)
-        # while decision != "[QUIT]":
-        #     content = document_skill.draft_content(user_feedback=user_feedback, decision=decision)
-        #     decision, user_feedback = await document_skill.get_user_feedback_decision(
-        #         context, user_feedback, outline=False
-        #     )
-        # return content
-
-
-class DocumentSkillDefinition(SkillDefinition):
-    def __init__(
-        self,
-        name: str,
-        language_model: LanguageModel,
-        description: str | None = None,
-        chat_driver_config: ChatDriverConfig | None = None,
-    ) -> None:
-        self.language_model = language_model
-
-        if chat_driver_config:
-            chat_driver_config.instructions = INSTRUCTIONS
-
-        # Initialize the skill!
-        super().__init__(
-            name=name,
-            skill_class=DocumentSkill,
-            description=description or DESCRIPTION,
-            chat_driver_config=chat_driver_config,
-        )
diff --git a/libraries/python/skills/skills/document-skill/pyproject.toml b/libraries/python/skills/skills/document-skill/pyproject.toml
deleted file mode 100644
index c036bc77..00000000
--- a/libraries/python/skills/skills/document-skill/pyproject.toml
+++ /dev/null
@@ -1,31 +0,0 @@
-[project]
-name = "document-skill"
-version = "0.1.0"
-description = "MADE:Exploration Document skill"
-authors = [{name="MADE:Explorers"}]
-readme = "README.md"
-requires-python = ">=3.11"
-dependencies = [
-    "context>=0.1.0",
-    "events>=0.1.0",
-    "openai-client>=0.1.0",
-    "skill-library>=0.1.0",
-]
-
-[tool.uv]
-package = true
-
-[tool.uv.sources]
-context = { path = "../../../context", editable = true }
-events = { path = "../../../events", editable = true }
-openai-client = { path = "../../../openai-client", editable = true }
-skill-library = { path = "../../skill-library", editable= true }
-
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
-
-[dependency-groups]
-dev = [
-    "pyright>=1.1.389",
-]
diff --git a/libraries/python/skills/skills/document-skill/uv.lock b/libraries/python/skills/skills/document-skill/uv.lock
deleted file mode 100644
index 39bf7641..00000000
--- a/libraries/python/skills/skills/document-skill/uv.lock
+++ /dev/null
@@ -1,1903 +0,0 @@
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-]
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diff --git a/libraries/python/skills/skills/form-filler-skill/.vscode/settings.json b/libraries/python/skills/skills/form-filler-skill/.vscode/settings.json
deleted file mode 100644
index 4a700d4a..00000000
--- a/libraries/python/skills/skills/form-filler-skill/.vscode/settings.json
+++ /dev/null
@@ -1,68 +0,0 @@
-{
-  "editor.bracketPairColorization.enabled": true,
-  "editor.codeActionsOnSave": {
-    "source.fixAll": "always",
-    "source.organizeImports": "always"
-  },
-  "editor.defaultFormatter": "esbenp.prettier-vscode",
-  "editor.formatOnPaste": true,
-  "editor.formatOnSave": true,
-  "editor.formatOnType": true,
-  "editor.guides.bracketPairs": "active",
-  "files.eol": "\n",
-  "files.trimTrailingWhitespace": true,
-  "flake8.ignorePatterns": ["**/*.py"], // disable flake8 in favor of ruff
-  "jupyter.debugJustMyCode": false,
-  "python.analysis.autoFormatStrings": true,
-  "python.analysis.autoImportCompletions": true,
-  "python.analysis.diagnosticMode": "workspace",
-  "python.analysis.fixAll": ["source.unusedImports"],
-  "python.analysis.inlayHints.functionReturnTypes": true,
-  "python.analysis.typeCheckingMode": "standard",
-  "python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python",
-  "python.testing.cwd": "${workspaceFolder}",
-  "search.exclude": {
-    "**/.venv": true,
-    "**/data": true
-  },
-  "[json]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[jsonc]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[python]": {
-    "editor.defaultFormatter": "charliermarsh.ruff",
-    "editor.formatOnSave": true,
-    "editor.codeActionsOnSave": {
-      "source.fixAll": "explicit",
-      "source.unusedImports": "explicit",
-      "source.organizeImports": "explicit",
-      "source.formatDocument": "explicit"
-    }
-  },
-  "ruff.nativeServer": "on",
-  // For use with optional extension: "streetsidesoftware.code-spell-checker"
-  "cSpell.ignorePaths": [
-    ".venv",
-    "node_modules",
-    "package-lock.json",
-    "settings.json",
-    "uv.lock"
-  ],
-  "cSpell.words": [
-    "dotenv",
-    "httpx",
-    "openai",
-    "posix",
-    "pydantic",
-    "pypdf",
-    "runtimes",
-    "tiktoken"
-  ],
-  "python.testing.pytestArgs": ["."],
-  "python.testing.unittestEnabled": false,
-  "python.testing.pytestEnabled": true
-}
diff --git a/libraries/python/skills/skills/form-filler-skill/Makefile b/libraries/python/skills/skills/form-filler-skill/Makefile
deleted file mode 100644
index 1ad4520a..00000000
--- a/libraries/python/skills/skills/form-filler-skill/Makefile
+++ /dev/null
@@ -1,2 +0,0 @@
-repo_root = $(shell git rev-parse --show-toplevel)
-include $(repo_root)/tools/makefiles/python.mk
diff --git a/libraries/python/skills/skills/form-filler-skill/README.md b/libraries/python/skills/skills/form-filler-skill/README.md
deleted file mode 100644
index 0e81e0de..00000000
--- a/libraries/python/skills/skills/form-filler-skill/README.md
+++ /dev/null
@@ -1,6 +0,0 @@
-# Form Filler Skill
-
-## _IMPORTANT!_
-
-Nothing works here. This is a WIP as we figure out routine running patterns.
-
diff --git a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/__init__.py b/libraries/python/skills/skills/form-filler-skill/form_filler_skill/__init__.py
deleted file mode 100644
index 451e61dd..00000000
--- a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from form_filler_skill.form_filler_skill import FormFillerSkill
-
-export = FormFillerSkill
diff --git a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/extract_form_fields.py b/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/extract_form_fields.py
deleted file mode 100644
index 26839318..00000000
--- a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/extract_form_fields.py
+++ /dev/null
@@ -1,74 +0,0 @@
-from typing import Any, Literal
-
-import openai_client
-from openai import AsyncOpenAI
-from openai.types.chat import ChatCompletionMessageParam
-from pydantic import BaseModel, Field
-
-
-class FormField(BaseModel):
-    id: str = Field(description="The unique identifier of the field.")
-    name: str = Field(description="The name of the field.")
-    description: str = Field(description="The description of the field.")
-    type: Literal["string", "bool", "multiple_choice"] = Field(description="The type of the field.")
-    options: list[str] = Field(description="The options for multiple choice fields.")
-    required: bool = Field(description="Whether the field is required or not.")
-
-
-class FormFields(BaseModel):
-    error_message: str = Field(
-        description="The error message in the case that the form fields could not be extracted."
-    )
-    fields: list[FormField] = Field(description="The fields in the form.")
-
-
-class NoResponseChoicesError(Exception):
-    pass
-
-
-class NoParsedMessageError(Exception):
-    pass
-
-
-async def extract(
-    async_openai_client: AsyncOpenAI, openai_model: str, max_response_tokens: int, form_content: str
-) -> tuple[FormFields, dict[str, Any]]:
-    messages: list[ChatCompletionMessageParam] = [
-        {
-            "role": "system",
-            "content": (
-                "Extract the form fields from the provided form attachment. Any type of form is allowed, including for example"
-                " tax forms, address forms, surveys, and other official or unofficial form-types. If the content is not a form,"
-                " or the fields cannot be determined, then set the error_message."
-            ),
-        },
-        {
-            "role": "user",
-            "content": form_content,
-        },
-    ]
-
-    async with async_openai_client as client:
-        response = await client.beta.chat.completions.parse(
-            messages=messages,
-            model=openai_model,
-            response_format=FormFields,
-        )
-
-        if not response.choices:
-            raise NoResponseChoicesError()
-
-        if not response.choices[0].message.parsed:
-            raise NoParsedMessageError()
-
-        metadata = {
-            "request": {
-                "model": openai_model,
-                "messages": openai_client.truncate_messages_for_logging(messages),
-                "max_tokens": max_response_tokens,
-                "response_format": FormFields.model_json_schema(),
-            },
-            "response": response.model_dump(),
-        }
-
-        return response.choices[0].message.parsed, metadata
diff --git a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/update_form.py b/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/update_form.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/form_filler_skill.py b/libraries/python/skills/skills/form-filler-skill/form_filler_skill/form_filler_skill.py
deleted file mode 100644
index 54467a27..00000000
--- a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/form_filler_skill.py
+++ /dev/null
@@ -1,155 +0,0 @@
-from typing import Any, Optional
-
-from openai_client.chat_driver import ChatDriverConfig
-from skill_library import (
-    ChatDriverFunctions,
-    RoutineTypes,
-    RunContext,
-    RunContextProvider,
-    Skill,
-    SkillDefinition,
-    StateMachineRoutine,
-)
-from skill_library.types import LanguageModel
-
-CLASS_NAME = "FormFillerSkill"
-DESCRIPTION = "Walks the user through uploading and filling out a form."
-DEFAULT_MAX_RETRIES = 3
-INSTRUCTIONS = "You are an assistant."
-
-
-class FormFillerSkill(Skill):
-    def __init__(
-        self,
-        skill_definition: "FormFillerSkillDefinition",
-        run_context_provider: RunContextProvider,
-    ) -> None:
-        self.skill_name = skill_definition.name
-
-        action_functions = []
-
-        # Add some skill routines.
-        routines: list[RoutineTypes] = [
-            self.form_filler_routine(),
-        ]
-
-        # Re-configure the skill's chat driver.
-        if skill_definition.chat_driver_config:
-            chat_driver_commands = ChatDriverFunctions(action_functions, run_context_provider).all()
-            chat_driver_functions = ChatDriverFunctions(action_functions, run_context_provider).all()
-            skill_definition.chat_driver_config.instructions = INSTRUCTIONS
-            skill_definition.chat_driver_config.commands = chat_driver_commands
-            skill_definition.chat_driver_config.functions = chat_driver_functions
-
-        self.openai_client = skill_definition.language_model
-
-        # Initialize the skill!
-        super().__init__(
-            skill_definition=skill_definition,
-            run_context_provider=run_context_provider,
-            actions=action_functions,
-            routines=routines,
-        )
-
-    ##################################
-    # Routines
-    ##################################
-
-    def form_filler_routine(self) -> StateMachineRoutine:
-        return StateMachineRoutine(
-            name="form_filler",
-            skill_name=self.skill_name,
-            description="Run a form-filler routine.",
-            init_function=self.form_fill_init,
-            step_function=self.form_fill_step,
-        )
-
-    async def form_fill_init(self, context: RunContext, vars: dict[str, Any] | None = None):
-        # TODO: Use `vars` to config the form filler routine.
-        return await self.form_fill_step(context)
-
-    async def form_fill_step(
-        self,
-        run_context: RunContext,
-        message: Optional[str] = None,
-    ) -> tuple[bool, str | None]:
-        FormFiller = self
-        state = await run_context.get_state()
-        while True:
-            match state.get("mode"):
-                case None:
-                    state["mode"] = "init"
-                case "init":
-                    # Cede control to guided conversation if an artifact needs to be generated.
-                    # How do we want to pass in all the GC definitions? Should they just be a simpler config object TYPE?
-                    if not state["artifact"]:
-                        if not state["gce_id"]:
-                            pass
-                            # guided_conversation_vars: dict[str, Any] = {
-                            #     "definition_type": "upload_files",
-                            #     "objective": "Upload a form to be filled out by the form filler recipe.",
-                            # }
-                            # gc_id = await run_context.run_routine(
-                            #     "guided_conversation.doc_upload", **guided_conversation_vars
-                            # )
-                            # state["gc_id"] = gc_id
-                        # TODO: What is the best way to subroutine?
-                        # artifact = GuidedConversation.run(state["gce_id"], message)
-                        # if artifact:
-                        #     state["artifact"] = artifact
-                        # else:
-                        #     await context.set_state(state)
-                        #     return
-
-                    agenda, is_done = FormFiller.update_agenda(run_context)
-                    state["agenda"] = agenda
-                    if is_done:
-                        state["mode"] = "done"
-                    state["mode"] = "conversation"
-                    await run_context.set_state(state)
-                    return is_done, agenda
-                case "conversation":
-                    state["form"] = FormFiller.update_form(run_context)
-                    agenda, is_done = FormFiller.update_agenda(run_context)
-                    state["agenda"] = agenda
-                    if is_done:
-                        state["mode"] = "finalize"
-                    await run_context.set_state(state)
-                    return is_done, agenda
-                case "finalize":
-                    message = FormFiller.generate_filled_form(run_context)
-                    state["mode"] = "done"
-                    await run_context.set_state(state)
-                    return False, message
-                case "done":
-                    return True, None
-
-    ##################################
-    # Actions
-    ##################################
-
-    def update_agenda(self, context: RunContext):
-        message = "message"
-        is_done = False
-        return message, is_done
-
-    def update_form(self, context: RunContext):
-        return "message", False
-
-    def generate_filled_form(self, context: RunContext):
-        return "message"
-
-
-class FormFillerSkillDefinition(SkillDefinition):
-    def __init__(
-        self,
-        name: str,
-        language_model: LanguageModel,
-        description: str | None = None,
-        chat_driver_config: ChatDriverConfig | None = None,
-    ) -> None:
-        self.name = name
-        self.language_model = language_model
-        self.description = description or DESCRIPTION
-        self.chat_driver_config = chat_driver_config
-        self.skill_class = FormFillerSkill
diff --git a/libraries/python/skills/skills/form-filler-skill/pyproject.toml b/libraries/python/skills/skills/form-filler-skill/pyproject.toml
deleted file mode 100644
index 1cd75600..00000000
--- a/libraries/python/skills/skills/form-filler-skill/pyproject.toml
+++ /dev/null
@@ -1,46 +0,0 @@
-[project]
-name = "form-filler-skill"
-version = "0.1.0"
-description = "MADE:Exploration Form-filler skill"
-authors = [{name="MADE:Explorers"}]
-readme = "README.md"
-requires-python = ">=3.11"
-dependencies = [
-    "assistant-drive>=0.1.0",
-    "assistant-extensions[attachments]>=0.1.0",
-    "events>=0.1.0",
-    "openai-client>=0.1.0",
-    "skill-library>=0.1.0",
-]
-
-[dependency-groups]
-dev = [
-    "pytest>=8.3.1",
-    "pytest-asyncio>=0.23.8",
-    "pytest-repeat>=0.9.3",
-    "ipykernel>=6.29.4",
-    "pyright>=1.1.389",
-]
-
-[tool.uv]
-package = true
-
-[tool.uv.sources]
-assistant-drive = { path = "../../../assistant-drive", editable = true }
-assistant-extensions = { path = "../../../assistant-extensions", editable = true }
-events = { path = "../../../events", editable = true }
-openai-client = { path = "../../../openai-client", editable = true }
-skill-library = { path = "../../skill-library", editable= true }
-
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
-
-[tool.pytest.ini_options]
-addopts = "-vv"
-log_cli = true
-log_cli_level = "WARNING"
-log_cli_format = "%(asctime)s | %(levelname)-7s | %(name)s | %(message)s"
-# testpaths = ["tests"]
-asyncio_mode = "auto"
-asyncio_default_fixture_loop_scope = "function"
diff --git a/libraries/python/skills/skills/form-filler-skill/tests/test_setup.py b/libraries/python/skills/skills/form-filler-skill/tests/test_setup.py
deleted file mode 100644
index 1bf716aa..00000000
--- a/libraries/python/skills/skills/form-filler-skill/tests/test_setup.py
+++ /dev/null
@@ -1,2 +0,0 @@
-def test_setup():
-    assert 1 == 1
diff --git a/libraries/python/skills/skills/form-filler-skill/uv.lock b/libraries/python/skills/skills/form-filler-skill/uv.lock
deleted file mode 100644
index 069b1379..00000000
--- a/libraries/python/skills/skills/form-filler-skill/uv.lock
+++ /dev/null
@@ -1,2388 +0,0 @@
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diff --git a/libraries/python/skills/skills/guided-conversation-skill/.vscode/settings.json b/libraries/python/skills/skills/guided-conversation-skill/.vscode/settings.json
deleted file mode 100644
index 90597527..00000000
--- a/libraries/python/skills/skills/guided-conversation-skill/.vscode/settings.json
+++ /dev/null
@@ -1,59 +0,0 @@
-{
-  "editor.bracketPairColorization.enabled": true,
-  "editor.codeActionsOnSave": {
-    "source.fixAll": "always",
-    "source.organizeImports": "always"
-  },
-  "editor.defaultFormatter": "esbenp.prettier-vscode",
-  "editor.formatOnPaste": true,
-  "editor.formatOnSave": true,
-  "editor.formatOnType": true,
-  "editor.guides.bracketPairs": "active",
-  "files.eol": "\n",
-  "files.trimTrailingWhitespace": true,
-  "flake8.ignorePatterns": ["**/*.py"], // disable flake8 in favor of ruff
-  "jupyter.debugJustMyCode": false,
-  "python.analysis.autoFormatStrings": true,
-  "python.analysis.autoImportCompletions": true,
-  "python.analysis.diagnosticMode": "workspace",
-  "python.analysis.fixAll": ["source.unusedImports"],
-  "python.analysis.inlayHints.functionReturnTypes": true,
-  "python.analysis.typeCheckingMode": "standard",
-  "python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python",
-  "python.testing.pytestEnabled": true,
-  "search.exclude": {
-    "**/.venv": true,
-    "**/data": true
-  },
-  "[json]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[jsonc]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[python]": {
-    "editor.defaultFormatter": "charliermarsh.ruff",
-    "editor.formatOnSave": true,
-    "editor.codeActionsOnSave": {
-      "source.fixAll": "explicit",
-      "source.unusedImports": "explicit",
-      "source.organizeImports": "explicit",
-      "source.formatDocument": "explicit"
-    }
-  },
-  "ruff.nativeServer": "on",
-  "cSpell.words": [
-    "dotenv",
-    "httpx",
-    "openai",
-    "pydantic",
-    "pypdf",
-    "pyproject",
-    "runtimes",
-    "tiktoken",
-    "venv",
-    "virtualenvs"
-  ]
-}
diff --git a/libraries/python/skills/skills/guided-conversation-skill/Makefile b/libraries/python/skills/skills/guided-conversation-skill/Makefile
deleted file mode 100644
index 1ad4520a..00000000
--- a/libraries/python/skills/skills/guided-conversation-skill/Makefile
+++ /dev/null
@@ -1,2 +0,0 @@
-repo_root = $(shell git rev-parse --show-toplevel)
-include $(repo_root)/tools/makefiles/python.mk
diff --git a/libraries/python/skills/skills/guided-conversation-skill/README.md b/libraries/python/skills/skills/guided-conversation-skill/README.md
deleted file mode 100644
index 4f336879..00000000
--- a/libraries/python/skills/skills/guided-conversation-skill/README.md
+++ /dev/null
@@ -1,22 +0,0 @@
-# Guided Conversation Skill
-
-This functionality was originally written as a standalone assistant using
-Semantic Kernel by the MAIDAP group.
-
-This is a substantial rewrite for the Semantic Workbench skill framework as a
-shareable, composable skill.
-
-The original guided conversation code is a bit more complex than what is found
-here because it has an action-choosing flow. This skill's revised routine is
-simply:
-
-```
-if not first time:
-    - updates = generate_artifact_updates
-    - apply_updates(updates)
-- agenda, done = generate_new_agenda
-- if done:
-    - artifact = generate_final_artifact
-- else:
-    - generate_message
-```
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/guided_conversation_skill.py b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/guided_conversation_skill.py
deleted file mode 100644
index 3d01df23..00000000
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/guided_conversation_skill.py
+++ /dev/null
@@ -1,291 +0,0 @@
-import importlib
-import json
-from typing import Any, Optional, Type
-
-from assistant_drive import Drive
-from events import InformationEvent, MessageEvent
-from openai_client.chat_driver import ChatDriverConfig
-from skill_library import RunContextProvider, Skill, SkillDefinition
-from skill_library.routine import RoutineTypes, StateMachineRoutine
-from skill_library.run_context import RunContext
-from skill_library.types import LanguageModel
-
-from .agenda import Agenda
-from .chat_completions.generate_agenda import generate_agenda
-from .chat_completions.generate_artifact_updates import generate_artifact_updates
-from .chat_completions.generate_final_artifact import final_artifact_update
-from .chat_completions.generate_message import generate_message
-from .guide import ConversationGuide
-from .logging import add_serializable_data, logger
-from .message import Conversation
-from .resources import ConversationResource
-
-CLASS_NAME = "GuidedConversationSkill"
-DESCRIPTION = "Walks the user through a conversation about gathering info for the creation of an artifact."
-DEFAULT_MAX_RETRIES = 3
-INSTRUCTIONS = "You are an assistant."
-
-
-class NoDefinitionConfiguredError(Exception):
-    pass
-
-
-class GuidedConversationSkill(Skill):
-    def __init__(
-        self,
-        skill_definition: "GuidedConversationSkillDefinition",
-        run_context_provider: RunContextProvider,
-    ) -> None:
-        self.skill_name = skill_definition.name
-        self.language_model = skill_definition.language_model
-        self.drive = skill_definition.drive
-
-        # Configuring the definition of a conversation here makes this skill
-        # instance for this one type (definition) of conversation.
-        # Alternatively, you can not supply a definition and have the
-        # conversation_init_function take in the definition as a parameter if
-        # you wanted to use the same instance for different kinds of
-        # conversations.
-        if skill_definition.definition:
-            # If a definition is supplied, we'll use this for every
-            # conversation. Save it so we can use it when this skill is run
-            # again in the future.
-            self.drive.write_model(
-                skill_definition.definition,
-                "GCDefinition.json",
-            )
-        else:
-            # As a convenience, check to see if a definition was already saved
-            # previously in this drive.
-            try:
-                skill_definition.definition = self.drive.read_model(ConversationGuide, "GCDefinition.json")
-            except FileNotFoundError:
-                logger.warning(
-                    "No definition supplied or found in the drive. Will expect one as a var in the conversation_init_function"
-                )
-
-        self.guide = skill_definition.definition
-
-        # Add the skill routines.
-        routines: list[RoutineTypes] = [
-            self.conversation_routine(),
-        ]
-
-        # Configure the skill's chat driver. This is just used for testing the
-        # skill out directly, but won't be exposed in the assistant.
-        if skill_definition.chat_driver_config:
-            skill_definition.chat_driver_config.instructions = INSTRUCTIONS
-
-        # Initialize the skill!
-        super().__init__(
-            skill_definition=skill_definition,
-            run_context_provider=run_context_provider,
-            actions=[],
-            routines=routines,
-        )
-
-    ##################################
-    # Routines
-    ##################################
-
-    def conversation_routine(self) -> StateMachineRoutine:
-        """
-        Conduct a guided conversation with the user. This conversation will
-        result in an artifact. The conversation will follow a defined flow and
-        will update the artifact as the conversation progresses. If a resource
-        constraint is reached, the conversation will end. An agenda will be
-        created and followed to guide the conversation. Either supply a
-        conversation definition in vars["definition"] or use a pre-configured
-        definition by supplying the name of your definition in
-        vars["conversation_type"]. Current conversation types you can use are:
-        "acrostic_poem", "patient_intake", "er_triage", or "interview".
-        """
-        return StateMachineRoutine(
-            name="conversation",
-            skill_name=self.skill_name,
-            description="Run a guided conversation.",
-            init_function=self.conversation_init_function,
-            step_function=self.conversation_step_function,
-        )
-
-    async def conversation_init_function(
-        self,
-        run_context: RunContext,
-        conversation_guide: ConversationGuide | str | None = None,
-        conversation: Conversation | None = None,
-        resource: ConversationResource | None = None,
-        agenda: Agenda | None = None,
-        artifact: dict[str, Any] | None = None,
-    ) -> tuple[bool, dict[str, Any] | None]:
-        """
-        Start a new guided conversation.
-
-        This function is called when the conversation routine is started. It
-        initializes the conversation state and starts the conversation.
-
-
-        Vars for selecting the conversation guide:
-            conversation_guide: You can supply a ConversationGuide or a string.
-            If you use a string, a conversation guide by that name will be used
-            from the `conversation_guides` module.
-
-        Vars for prefilling state:
-            resource: The current resource state.
-            conversation: The current conversation state.
-            agenda: The current agenda state.
-            artifact: The current artifact state.
-
-        Returns:
-            tuple[bool, dict[str, Any] | None]: A tuple containing a boolean
-            indicating if the conversation is complete and the current state of
-            the artifact.
-        """
-
-        logger.debug(
-            "Initializing guided conversation skill.",
-            add_serializable_data({"session_id": run_context.session_id, "vars": vars}),
-        )
-
-        # The definition is required to run the conversation. It can be provided
-        # in the skill config or as a param when initializing the conversation.
-        guide = self.guide
-        if not guide:
-            if not conversation_guide:
-                raise NoDefinitionConfiguredError("No guide was provided to the skill.")
-
-            match conversation_guide:
-                case ConversationGuide():
-                    guide = conversation_guide
-                case str():
-                    # Load the definition dynamically from the `conversation_guides` module.
-                    try:
-                        guides_dir = "guided_conversation_skill.conversation_guides"
-                        guide_module_name = f"{guides_dir}.{conversation_guide}"
-                        guide_module = importlib.import_module(guide_module_name)
-                        guide = guide_module.definition
-                    except ImportError:
-                        raise NoDefinitionConfiguredError(
-                            f"Could not import the definition module: {conversation_guide}"
-                        )
-
-        # We can put all this data in the routine frame, or we could also put it
-        # in the skill drive. All of this intermediate state can just go in the
-        # frame. Only the final artifact needs to be saved to the drive.
-        async with run_context.stack_frame_state() as state:
-            state["guide"] = guide
-            state["conversation"] = conversation or Conversation()
-            state["agenda"] = agenda or Agenda()
-            state["artifact"] = artifact or {}
-            state["resource"] = resource or ConversationResource(resource_constraint=guide.resource_constraint)
-
-        # For guided conversation, we want to go ahead and run the first step.
-        return await self.conversation_step_function(run_context)
-
-    async def conversation_step_function(
-        self,
-        context: RunContext,
-        message: Optional[str] = None,
-    ) -> tuple[bool, dict[str, Any] | None]:
-        logger.debug("Continuing guided conversation.", add_serializable_data({"session_id": context.session_id}))
-        async with context.stack_frame_state() as state:
-            definition = ConversationGuide(**state["guide"])
-            conversation = Conversation(**state["conversation"])
-            agenda = Agenda(**state["agenda"])
-            artifact: dict[str, Any] = state.get("artifact", {})
-            resource = ConversationResource(**state["resource"])
-
-            if message:
-                conversation.add_user_message(message)
-                state["conversation"] = conversation
-
-            # Update artifact, if it's not the first turn.
-            if resource.turn_number > 0:
-                try:
-                    artifact_updates = await generate_artifact_updates(
-                        self.language_model, definition, artifact or {}, conversation, max_retries=DEFAULT_MAX_RETRIES
-                    )
-                except Exception as e:
-                    # TODO: DO something with this error.
-                    logger.exception("Error generating artifact updates", exc_info=e)
-                else:
-                    # Apply the validated updates to the artifact.
-                    for update in artifact_updates:
-                        try:
-                            artifact[update.field] = json.loads(update.value_as_json)
-                        except json.JSONDecodeError:
-                            logger.warning(f"Error decoding JSON for update: {update}")
-                            continue
-                    state["artifact"] = artifact
-                    context.emit(InformationEvent(message="Artifact updated", metadata={"artifact": artifact}))
-
-            # Update agenda.
-            try:
-                agenda, is_done = await generate_agenda(
-                    self.language_model,
-                    definition,
-                    conversation,
-                    agenda,
-                    artifact,
-                    resource,
-                    max_retries=DEFAULT_MAX_RETRIES,
-                )
-                state["agenda"] = agenda
-                context.emit(InformationEvent(message="Agenda updated", metadata={"agenda": agenda.model_dump()}))
-            except Exception:
-                # TODO: DO something with this error?
-                logger.exception("Error generating agenda")
-                return False, artifact
-
-            # If the agenda generation says we are done, generate the final
-            # artifact.
-            # TODO: Maybe we should put the check for "done" in the
-            #   message generation function? Or... a separate function after the
-            #   message is generated?
-            if is_done:
-                if artifact:
-                    artifact = await final_artifact_update(self.language_model, definition, conversation, artifact)
-                context.emit(
-                    InformationEvent(
-                        session_id=context.session_id, message="Conversation complete!", metadata={"artifact": artifact}
-                    )
-                )
-                return True, artifact
-
-            # If we are not done, use the agenda to ask the user for whatever is next.
-            else:
-                message = await generate_message(self.language_model, definition, artifact, conversation)
-                context.emit(MessageEvent(session_id=context.session_id, message=message))
-                if message:
-                    conversation.add_assistant_message(message)
-                    state["conversation"] = conversation
-
-                # Increment the resource.
-                resource.increment_resource()
-                state["resource"] = resource
-
-                return False, artifact
-
-    ##################################
-    # Actions
-    ##################################
-
-    # None, yet.
-
-
-class GuidedConversationSkillDefinition(SkillDefinition):
-    def __init__(
-        self,
-        name: str,
-        language_model: LanguageModel,
-        drive: Drive,
-        definition: ConversationGuide | None = None,
-        chat_driver_config: ChatDriverConfig | None = None,
-        skill_class: Type[Skill] = GuidedConversationSkill,
-    ) -> None:
-        self.name = name
-        self.description = DESCRIPTION
-        self.language_model = language_model
-        self.drive = drive
-        self.definition = definition
-        self.chat_driver_config = chat_driver_config
-        self.skill_class = skill_class
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/logging.py b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/logging.py
deleted file mode 100644
index fb8c51cc..00000000
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/logging.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import json
-import logging
-from datetime import datetime
-from typing import Any
-from uuid import UUID
-
-from pydantic import BaseModel
-
-logger = logging.getLogger("guided-conversation-skill")
-logger.addHandler(logging.NullHandler())
-logger.setLevel(logging.DEBUG)
-
-
-def convert_to_serializable(data: Any) -> Any:
-    """
-    Recursively convert Pydantic BaseModel instances to dictionaries.
-    """
-    if isinstance(data, BaseModel):
-        return data.model_dump()
-    elif isinstance(data, dict):
-        return {key: convert_to_serializable(value) for key, value in data.items()}
-    elif isinstance(data, list):
-        return [convert_to_serializable(item) for item in data]
-    elif isinstance(data, tuple):
-        return tuple(convert_to_serializable(item) for item in data)
-    elif isinstance(data, set):
-        return {convert_to_serializable(item) for item in data}
-    return data
-
-
-class CustomEncoder(json.JSONEncoder):
-    def default(self, o):
-        if isinstance(o, UUID):
-            return str(o)
-        if isinstance(o, datetime):
-            return o.isoformat()
-        return super().default(o)
-
-
-def add_serializable_data(data: Any) -> dict[str, Any]:
-    """
-    Helper function to use when adding extra data to log messages.
-    """
-    extra = {}
-
-    # Convert to serializable.
-    data = convert_to_serializable(data)
-
-    # Ensure data is a JSON-serializable object.
-    try:
-        data = json.loads(json.dumps(data, cls=CustomEncoder))
-    except Exception as e:
-        data = str(e)
-
-    if data:
-        extra["data"] = data
-
-    return extra
-
-
-extra_data = add_serializable_data
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/message.py b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/message.py
deleted file mode 100644
index b1e510c1..00000000
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/message.py
+++ /dev/null
@@ -1,74 +0,0 @@
-from enum import StrEnum
-
-from openai.types.chat import ChatCompletionMessageParam
-from pydantic import BaseModel, Field
-
-
-class ConversationMessageType(StrEnum):
-    DEFAULT = "default"
-    ARTIFACT_UPDATE = "artifact-update"
-    REASONING = "reasoning"
-
-
-class Message(BaseModel):
-    param: ChatCompletionMessageParam
-    type: ConversationMessageType = Field(default=ConversationMessageType.DEFAULT)
-    turn: int | None = None
-
-
-class Conversation(BaseModel):
-    messages: list[Message] = Field(default_factory=list)
-    turn: int = 0
-
-    def exclude(self, types: list[ConversationMessageType]) -> "Conversation":
-        return Conversation(
-            messages=[message for message in self.messages if message.type not in types], turn=self.turn
-        )
-
-    def __str__(self) -> str:
-        message_strs = []
-        current_turn = None
-        for message in self.messages:
-            # Modify the default user to be capitalized for consistency with how
-            # assistant is written.
-            name = message.param["role"]
-            if name == "user":
-                name = "User"
-
-            # Append the turn number if it has changed.
-            if message.turn is not None and current_turn != message.turn:
-                current_turn = message.turn
-                message_strs.append(f"[Turn {current_turn}]")
-
-            # Append the message content.
-            content = message.param.get("content", "")
-            if message.param["role"] == "assistant":
-                if message.type == ConversationMessageType.ARTIFACT_UPDATE:
-                    message_strs.append(content)
-                else:
-                    message_strs.append(f"Assistant: {content}")
-            else:
-                user_string = str(content).strip()
-                if user_string == "":
-                    message_strs.append(f"{name}: <sent an empty message>")
-                else:
-                    message_strs.append(f"{name}: {user_string}")
-
-        return "\n".join(message_strs)
-
-    def add_user_message(self, content: str) -> "Conversation":
-        self.messages.append(Message(param={"role": "user", "content": content}, turn=self.turn))
-        return self
-
-    def add_assistant_message(self, content: str) -> "Conversation":
-        self.turn += 1
-        self.messages.append(
-            Message(
-                param={
-                    "role": "assistant",
-                    "content": content,
-                },
-                turn=self.turn,
-            )
-        )
-        return self
diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/conftest.py b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/conftest.py
deleted file mode 100644
index 0b99e4da..00000000
--- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/conftest.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import os
-
-import pytest
-from openai_client import AzureOpenAIAzureIdentityAuthConfig, AzureOpenAIServiceConfig, create_client
-from pydantic_core import Url
-from skill_library.types import LanguageModel
-
-
-@pytest.fixture
-def client() -> LanguageModel:
-    # Ensure environment variables are configured properly.
-    azure_openai_endpoint = os.environ.get("AZURE_OPENAI_ENDPOINT")
-    azure_openai_deployment = os.environ.get("AZURE_OPENAI_DEPLOYMENT")
-    if not azure_openai_endpoint or not azure_openai_deployment:
-        pytest.skip("AZURE_OPENAI_ENDPOINT or AZURE_OPENAI_DEPLOYMENT must be available in the environment.")
-
-    service_config = AzureOpenAIServiceConfig(
-        auth_config=AzureOpenAIAzureIdentityAuthConfig(),
-        azure_openai_endpoint=Url(azure_openai_endpoint),
-        azure_openai_deployment=azure_openai_deployment,
-    )
-    return create_client(service_config)
diff --git a/libraries/python/skills/skills/guided-conversation-skill/notebooks/usage.ipynb b/libraries/python/skills/skills/guided-conversation-skill/notebooks/usage.ipynb
deleted file mode 100644
index 269cd8ea..00000000
--- a/libraries/python/skills/skills/guided-conversation-skill/notebooks/usage.ipynb
+++ /dev/null
@@ -1,143 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%reload_ext autoreload\n",
-    "%autoreload 2\n",
-    "\n",
-    "import sys\n",
-    "from pathlib import Path\n",
-    "import logging\n",
-    "from skill_library.logging import file_logging_handler\n",
-    "\n",
-    "# Add the src directory to sys.path\n",
-    "path = str(Path().resolve().parent)\n",
-    "if path not in sys.path:\n",
-    "    sys.path.insert(0, path)\n",
-    "\n",
-    "print(sys.path)\n",
-    "\n",
-    "# load_dotenv()\n",
-    "# print(str(dict(os.environ.items())))\n",
-    "\n",
-    "# Set up structured logging to a file. All of the cells in this notebook use\n",
-    "# this logger. Find them at .data/logs.jsonl.\n",
-    "\n",
-    "# Mute some noisy loggers.\n",
-    "modules = ['httpcore.connection', 'httpcore.http11', 'httpcore.sync.connection', 'httpx', 'openai', 'urllib3.connectionpool', 'urllib3.util.retry']\n",
-    "for module in modules:\n",
-    "    logging.getLogger(module).setLevel(logging.ERROR)\n",
-    "\n",
-    "# Set up the file logging.\n",
-    "logger = logging.getLogger()\n",
-    "logger.setLevel(logging.DEBUG)\n",
-    "logger.handlers.clear()\n",
-    "file_handler = file_logging_handler(Path('.data') / 'logs.jsonl')\n",
-    "logger.addHandler(file_handler)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%reload_ext autoreload\n",
-    "%autoreload 2\n",
-    "\n",
-    "from pathlib import Path\n",
-    "import asyncio\n",
-    "import os\n",
-    "\n",
-    "from assistant_drive import Drive, DriveConfig\n",
-    "from openai_client import AzureOpenAIAzureIdentityAuthConfig, AzureOpenAIServiceConfig, create_client\n",
-    "from openai_client.chat_driver import ChatDriverConfig\n",
-    "from pydantic_core import Url\n",
-    "from skill_library import Skill, Assistant\n",
-    "\n",
-    "from guided_conversation_skill import GuidedConversationSkill\n",
-    "from guided_conversation_skill.conversation_guides.acrostic_poem import definition\n",
-    "\n",
-    "azure_openai_endpoint = os.environ.get(\"AZURE_OPENAI_ENDPOINT\", \"https://lightspeed-team-shared-openai-eastus.openai.azure.com/\")\n",
-    "azure_openai_deployment = os.environ.get(\"AZURE_OPENAI_DEPLOYMENT\", \"gpt-4o\")\n",
-    "\n",
-    "service_config = AzureOpenAIServiceConfig(\n",
-    "    auth_config=AzureOpenAIAzureIdentityAuthConfig(),\n",
-    "    azure_openai_endpoint=Url(azure_openai_endpoint),\n",
-    "    azure_openai_deployment=azure_openai_deployment,\n",
-    ")\n",
-    "language_model = create_client(service_config)\n",
-    "\n",
-    "\n",
-    "# Configure the skill and its dependencies.\n",
-    "path = Path(\".data/assistant-1\")\n",
-    "drive = Drive(DriveConfig(root=path))\n",
-    "definition.resource_constraint.quantity = 5  # type: ignore\n",
-    "skill = GuidedConversationSkill(name=\"guided_conversation\", language_model=language_model, definition=definition, drive=drive.subdrive(\"gc1\"))\n",
-    "skill_dependency_tree: dict[str, Skill] = {skill.name: skill}\n",
-    "\n",
-    "# Define the assistant.\n",
-    "chat_driver_config = ChatDriverConfig(\n",
-    "    openai_client=language_model,\n",
-    "    model=\"gpt-4o\",\n",
-    "    instructions=\"You are a helpful assistant.\",\n",
-    ")\n",
-    "\n",
-    "assistant = Assistant(name=\"Alice\", assistant_id=\"gc-assistant-123\", chat_driver_config=chat_driver_config, skills=skill_dependency_tree, startup_routine=\"guided_conversation.conversation\")\n",
-    "await assistant.clear()\n",
-    "await assistant.start()\n",
-    "\n",
-    "\n",
-    "# Function that allows user input in a non-blocking manner.\n",
-    "async def user_input_handler() -> None:\n",
-    "    while True:\n",
-    "        user_input = await asyncio.to_thread(input, \"User: \")\n",
-    "        if user_input == \"\":\n",
-    "            assistant.stop()\n",
-    "            break\n",
-    "        print(f\"User: {user_input}\", flush=True)\n",
-    "        await assistant.put_message(user_input)\n",
-    "\n",
-    "\n",
-    "# Start the user input in a non-blocking way.\n",
-    "input_task = asyncio.create_task(user_input_handler())\n",
-    "\n",
-    "# Start the assistant.\n",
-    "async for event in assistant.events:\n",
-    "    print(f\"Assistant: {event.message}\", flush=True)  # type: ignore\n",
-    "    if event.message == \"Conversation complete!\":\n",
-    "        print()\n",
-    "        break\n",
-    "\n",
-    "await assistant.wait()\n",
-    "await input_task\n",
-    "\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": ".venv",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/libraries/python/skills/skills/guided-conversation-skill/pyproject.toml b/libraries/python/skills/skills/guided-conversation-skill/pyproject.toml
deleted file mode 100644
index a5e92552..00000000
--- a/libraries/python/skills/skills/guided-conversation-skill/pyproject.toml
+++ /dev/null
@@ -1,48 +0,0 @@
-[project]
-name = "guided-conversation-skill"
-version = "0.1.0"
-description = "MADE:Exploration guided conversation skill"
-authors = [{ name = "MADE:Exploration" }]
-readme = "README.md"
-requires-python = ">=3.11"
-dependencies = [
-    "assistant-drive>=0.1.0",
-    "events>=0.1.0",
-    "jsonschema>=4.23.0",
-    "openai-client>=0.1.0",
-    "skill-library>=0.1.0",
-]
-
-[dependency-groups]
-dev = [
-    "pytest>=8.3.1",
-    "pytest-asyncio>=0.23.8",
-    "pytest-repeat>=0.9.3",
-    "ipykernel>=6.29.4",
-    "pyright>=1.1.389",
-]
-
-[tool.uv]
-package = true
-
-[tool.uv.sources]
-assistant-drive = { path = "../../../assistant-drive", editable = true }
-events = { path = "../../../events", editable = true }
-openai-client = { path = "../../../openai-client", editable = true }
-skill-library = { path = "../../skill-library", editable = true }
-
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
-
-[tool.pyright]
-exclude = ["venv", ".venv"]
-
-[tool.pytest.ini_options]
-addopts = "-vv"
-log_cli = true
-log_cli_level = "WARNING"
-log_cli_format = "%(asctime)s | %(levelname)-7s | %(name)s | %(message)s"
-# testpaths = ["guided_conversation_skill/tests"]
-asyncio_mode = "auto"
-asyncio_default_fixture_loop_scope = "function"
diff --git a/libraries/python/skills/skills/guided-conversation-skill/uv.lock b/libraries/python/skills/skills/guided-conversation-skill/uv.lock
deleted file mode 100644
index e1491bc3..00000000
--- a/libraries/python/skills/skills/guided-conversation-skill/uv.lock
+++ /dev/null
@@ -1,2430 +0,0 @@
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diff --git a/libraries/python/skills/skills/posix-skill/.vscode/settings.json b/libraries/python/skills/skills/posix-skill/.vscode/settings.json
deleted file mode 100644
index b8141a6a..00000000
--- a/libraries/python/skills/skills/posix-skill/.vscode/settings.json
+++ /dev/null
@@ -1,65 +0,0 @@
-{
-  "editor.bracketPairColorization.enabled": true,
-  "editor.codeActionsOnSave": {
-    "source.fixAll": "always",
-    "source.organizeImports": "always"
-  },
-  "editor.defaultFormatter": "esbenp.prettier-vscode",
-  "editor.formatOnPaste": true,
-  "editor.formatOnSave": true,
-  "editor.formatOnType": true,
-  "editor.guides.bracketPairs": "active",
-  "files.eol": "\n",
-  "files.trimTrailingWhitespace": true,
-  "flake8.ignorePatterns": ["**/*.py"], // disable flake8 in favor of ruff
-  "jupyter.debugJustMyCode": false,
-  "python.analysis.autoFormatStrings": true,
-  "python.analysis.autoImportCompletions": true,
-  "python.analysis.diagnosticMode": "workspace",
-  "python.analysis.fixAll": ["source.unusedImports"],
-  "python.analysis.inlayHints.functionReturnTypes": true,
-  "python.analysis.typeCheckingMode": "standard",
-  "python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python",
-  "python.testing.cwd": "${workspaceFolder}",
-  "search.exclude": {
-    "**/.venv": true,
-    "**/data": true
-  },
-  "[json]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[jsonc]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[python]": {
-    "editor.defaultFormatter": "charliermarsh.ruff",
-    "editor.formatOnSave": true,
-    "editor.codeActionsOnSave": {
-      "source.fixAll": "explicit",
-      "source.unusedImports": "explicit",
-      "source.organizeImports": "explicit",
-      "source.formatDocument": "explicit"
-    }
-  },
-  "ruff.nativeServer": "on",
-  // For use with optional extension: "streetsidesoftware.code-spell-checker"
-  "cSpell.ignorePaths": [
-    ".venv",
-    "node_modules",
-    "package-lock.json",
-    "settings.json",
-    "uv.lock"
-  ],
-  "cSpell.words": [
-    "dotenv",
-    "httpx",
-    "openai",
-    "posix",
-    "pydantic",
-    "pypdf",
-    "runtimes",
-    "tiktoken"
-  ]
-}
diff --git a/libraries/python/skills/skills/posix-skill/Makefile b/libraries/python/skills/skills/posix-skill/Makefile
deleted file mode 100644
index 1ad4520a..00000000
--- a/libraries/python/skills/skills/posix-skill/Makefile
+++ /dev/null
@@ -1,2 +0,0 @@
-repo_root = $(shell git rev-parse --show-toplevel)
-include $(repo_root)/tools/makefiles/python.mk
diff --git a/libraries/python/skills/skills/posix-skill/README.md b/libraries/python/skills/skills/posix-skill/README.md
deleted file mode 100644
index 5e19c5bd..00000000
--- a/libraries/python/skills/skills/posix-skill/README.md
+++ /dev/null
@@ -1,7 +0,0 @@
-# Posix Skill
-
-This is a skill that can be registered to an assistant in the [Skill Library](../../skill-library/README.md).
-
-This skill has been primarily created for demonstration purposes and you can see it in action in [this notebook](../../notebooks/notebooks/skills.ipynb).
-
-This skill gives your assistant the capability for running posix-style actions and routines to manage a filesystem.
diff --git a/libraries/python/skills/skills/posix-skill/posix_skill/__init__.py b/libraries/python/skills/skills/posix-skill/posix_skill/__init__.py
deleted file mode 100644
index eaaecdcb..00000000
--- a/libraries/python/skills/skills/posix-skill/posix_skill/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from posix_skill.posix_skill import PosixSkill, PosixSkillDefinition
-
-__all__ = ["PosixSkill", "PosixSkillDefinition"]
diff --git a/libraries/python/skills/skills/posix-skill/posix_skill/posix_skill.py b/libraries/python/skills/skills/posix-skill/posix_skill/posix_skill.py
deleted file mode 100644
index d50a9d38..00000000
--- a/libraries/python/skills/skills/posix-skill/posix_skill/posix_skill.py
+++ /dev/null
@@ -1,189 +0,0 @@
-from pathlib import Path
-from textwrap import dedent
-
-from openai_client.chat_driver import ChatDriverConfig
-from skill_library import (
-    ActionCallable,
-    ChatDriverFunctions,
-    InstructionRoutine,
-    RoutineTypes,
-    RunContext,
-    RunContextProvider,
-    Skill,
-    SkillDefinition,
-)
-
-from .sandbox_shell import SandboxShell
-
-NAME = "posix"
-CLASS_NAME = "PosixSkill"
-DESCRIPTION = "Manages the filesystem using a sand-boxed Posix shell."
-DEFAULT_MAX_RETRIES = 3
-INSTRUCTIONS = "You are an assistant that has access to a sand-boxed Posix shell."
-
-
-class PosixSkill(Skill):
-    def __init__(
-        self,
-        skill_definition: "PosixSkillDefinition",
-        run_context_provider: RunContextProvider,
-    ) -> None:
-        self.shell = SandboxShell(skill_definition.sandbox_dir, skill_definition.mount_dir)
-
-        # Define action functions (to be used to create Actions)
-        action_functions: list[ActionCallable] = [
-            self.cd,
-            self.ls,
-            self.touch,
-            self.mkdir,
-            self.mv,
-            self.rm,
-            self.pwd,
-            self.run_command,
-            self.read_file,
-            self.write_file,
-            self.append_file,
-        ]
-
-        # Add skill routines.
-        routines: list[RoutineTypes] = [
-            self.make_home_dir_routine(skill_definition.name),
-        ]
-
-        # Add commands and functions to the skill's chat driver.
-        if skill_definition.chat_driver_config:
-            # Go ahead and make all actions available.
-            chat_driver_commands = ChatDriverFunctions(action_functions, run_context_provider).all()
-            chat_driver_functions = ChatDriverFunctions(action_functions, run_context_provider).all()
-            skill_definition.chat_driver_config.instructions = INSTRUCTIONS
-            skill_definition.chat_driver_config.commands = chat_driver_commands
-            skill_definition.chat_driver_config.functions = chat_driver_functions
-
-        # Initialize the skill!
-        super().__init__(
-            skill_definition=skill_definition,
-            run_context_provider=run_context_provider,
-            actions=action_functions,
-            routines=routines,
-        )
-
-    ##################################
-    # Routines
-    ##################################
-
-    def make_home_dir_routine(self, skill_name: str) -> InstructionRoutine:
-        """Makes a home directory for the user."""
-        return InstructionRoutine(
-            "make_home_dir",
-            skill_name,
-            "Create a home directory for the user.",
-            routine=dedent("""
-                cd /mnt/data
-                mkdir {{username}}
-                cd {{username}}
-                mkdir Documents
-                mkdir Downloads
-                mkdir Music
-                mkdir Pictures
-                mkdir Videos
-                cd /mnt/data
-            """),
-        )
-
-    ##################################
-    # Actions
-    ##################################
-
-    def cd(self, run_context: RunContext, directory: str) -> str:
-        """
-        Change the current working directory.
-        """
-        try:
-            self.shell.cd(directory)
-            return f"Changed directory to {directory}."
-        except FileNotFoundError:
-            return f"Directory {directory} not found."
-
-    def ls(self, run_context: RunContext, path: str = ".") -> list[str]:
-        """
-        List directory contents.
-        """
-        return self.shell.ls(path)
-
-    def touch(self, run_context: RunContext, filename: str) -> str:
-        """
-        Create an empty file.
-        """
-        self.shell.touch(filename)
-        return f"Created file {filename}."
-
-    def mkdir(self, run_context: RunContext, dirname: str) -> str:
-        """
-        Create a new directory.
-        """
-        self.shell.mkdir(dirname)
-        return f"Created directory {dirname}."
-
-    def mv(self, run_context: RunContext, src: str, dest: str) -> str:
-        """
-        Move a file or directory.
-        """
-        self.shell.mv(src, dest)
-        return f"Moved {src} to {dest}."
-
-    def rm(self, run_context: RunContext, path: str) -> str:
-        """
-        Remove a file or directory.
-        """
-        self.shell.rm(path)
-        return f"Removed {path}."
-
-    def pwd(self, run_context: RunContext) -> str:
-        """
-        Return the current directory.
-        """
-        return self.shell.pwd()
-
-    def run_command(self, run_context: RunContext, command: str) -> str:
-        """
-        Run a shell command in the current directory.
-        """
-        stdout, stderr = self.shell.run_command(command)
-        return f"Command output:\n{stdout}\nCommand errors:\n{stderr}"
-
-    def read_file(self, run_context: RunContext, filename: str) -> str:
-        """
-        Read the contents of a file.
-        """
-        return self.shell.read_file(filename)
-
-    def write_file(self, run_context: RunContext, filename: str, content: str) -> str:
-        """
-        Write content to a file.
-        """
-        self.shell.write_file(filename, content)
-        return f"Wrote content to {filename}."
-
-    def append_file(self, run_context: RunContext, filename: str, content: str) -> str:
-        """
-        Append content to a file.
-        """
-        self.shell.append_file(filename, content)
-        return f"Appended content to {filename}."
-
-
-class PosixSkillDefinition(SkillDefinition):
-    def __init__(
-        self,
-        name: str,
-        sandbox_dir: Path,
-        mount_dir: str = "/mnt/data",
-        description: str | None = None,
-        chat_driver_config: ChatDriverConfig | None = None,
-    ) -> None:
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-        self.description = description or DESCRIPTION
-        self.sandbox_dir = sandbox_dir
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diff --git a/libraries/python/skills/skills/posix-skill/pyproject.toml b/libraries/python/skills/skills/posix-skill/pyproject.toml
deleted file mode 100644
index c1ef74bc..00000000
--- a/libraries/python/skills/skills/posix-skill/pyproject.toml
+++ /dev/null
@@ -1,32 +0,0 @@
-[project]
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deleted file mode 100644
index 7536b66e..00000000
--- a/libraries/python/skills/skills/posix-skill/uv.lock
+++ /dev/null
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diff --git a/libraries/python/skills/skills/prospector-skill/.vscode/settings.json b/libraries/python/skills/skills/prospector-skill/.vscode/settings.json
deleted file mode 100644
index 056c330a..00000000
--- a/libraries/python/skills/skills/prospector-skill/.vscode/settings.json
+++ /dev/null
@@ -1,65 +0,0 @@
-{
-  "editor.bracketPairColorization.enabled": true,
-  "editor.codeActionsOnSave": {
-    "source.fixAll": "always",
-    "source.organizeImports": "always"
-  },
-  "editor.defaultFormatter": "esbenp.prettier-vscode",
-  "editor.formatOnPaste": true,
-  "editor.formatOnSave": true,
-  "editor.formatOnType": true,
-  "editor.guides.bracketPairs": "active",
-  "files.eol": "\n",
-  "files.trimTrailingWhitespace": true,
-  "flake8.ignorePatterns": ["**/*.py"], // disable flake8 in favor of ruff
-  "jupyter.debugJustMyCode": false,
-  "python.analysis.autoFormatStrings": true,
-  "python.analysis.autoImportCompletions": true,
-  "python.analysis.diagnosticMode": "workspace",
-  "python.analysis.fixAll": ["source.unusedImports"],
-  "python.analysis.inlayHints.functionReturnTypes": true,
-  "python.analysis.typeCheckingMode": "standard",
-  "python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python",
-  "python.testing.pytestEnabled": false,
-  "search.exclude": {
-    "**/.venv": true,
-    "**/data": true
-  },
-  "[json]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[jsonc]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[python]": {
-    "editor.defaultFormatter": "charliermarsh.ruff",
-    "editor.formatOnSave": true,
-    "editor.codeActionsOnSave": {
-      "source.fixAll": "explicit",
-      "source.unusedImports": "explicit",
-      "source.organizeImports": "explicit",
-      "source.formatDocument": "explicit"
-    }
-  },
-  "ruff.nativeServer": "on",
-  // For use with optional extension: "streetsidesoftware.code-spell-checker"
-  "cSpell.ignorePaths": [
-    ".venv",
-    "node_modules",
-    "package-lock.json",
-    "settings.json",
-    "uv.lock"
-  ],
-  "cSpell.words": [
-    "dotenv",
-    "httpx",
-    "openai",
-    "pydantic",
-    "pypdf",
-    "runtimes",
-    "tiktoken",
-    "virtualenvs"
-  ]
-}
diff --git a/libraries/python/skills/skills/prospector-skill/Makefile b/libraries/python/skills/skills/prospector-skill/Makefile
deleted file mode 100644
index 1ad4520a..00000000
--- a/libraries/python/skills/skills/prospector-skill/Makefile
+++ /dev/null
@@ -1,2 +0,0 @@
-repo_root = $(shell git rev-parse --show-toplevel)
-include $(repo_root)/tools/makefiles/python.mk
diff --git a/libraries/python/skills/skills/prospector-skill/README.md b/libraries/python/skills/skills/prospector-skill/README.md
deleted file mode 100644
index 91946112..00000000
--- a/libraries/python/skills/skills/prospector-skill/README.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# Prospector Skill
-
-This is a skill that can be registered to an assistant in the [Skill Library](../../skill-library/README.md).
-
-This skill gives your assistant the capability for mining ideas, concepts, and details from a variety of uploaded sources.
diff --git a/libraries/python/skills/skills/prospector-skill/prospector_skill/__init__.py b/libraries/python/skills/skills/prospector-skill/prospector_skill/__init__.py
deleted file mode 100644
index 5f6b1069..00000000
--- a/libraries/python/skills/skills/prospector-skill/prospector_skill/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from .skill import ProspectorSkill
-
-__all__ = ["ProspectorSkill"]
diff --git a/libraries/python/skills/skills/prospector-skill/prospector_skill/skill.py b/libraries/python/skills/skills/prospector-skill/prospector_skill/skill.py
deleted file mode 100644
index c724103b..00000000
--- a/libraries/python/skills/skills/prospector-skill/prospector_skill/skill.py
+++ /dev/null
@@ -1,127 +0,0 @@
-from context import ContextProtocol
-from openai_client.chat_driver import ChatDriverConfig
-from skill_library import (
-    ChatDriverFunctions,
-    InstructionRoutine,
-    RoutineTypes,
-    RunContextProvider,
-    Skill,
-    SkillDefinition,
-)
-
-NAME = "prospector"
-CLASS_NAME = "ProspectorSkill"
-DESCRIPTION = "A skill that assists you in mining information from your files to help you complete tasks."
-DEFAULT_MAX_RETRIES = 3
-INSTRUCTIONS = "You are an assistant that has access to the provided actions."
-
-
-class ProspectorSkill(Skill):
-    def __init__(
-        self,
-        skill_definition: "ProspectorSkillDefinition",
-        run_context_provider: RunContextProvider,
-    ) -> None:
-        self.skill_name = skill_definition.name
-
-        # Add some actions.
-        action_functions = [
-            self.gather_information_action,
-            self.create_draft_action,
-            self.example_action,
-            self.example_with_parameters_action,
-        ]
-
-        # Add some routines.
-        routines: list[RoutineTypes] = [
-            self.draft_grant_proposal_routine(),
-            self.example_routine(),
-        ]
-
-        # Configure the chat driver (if using). Register all the supplied actions to it as either
-        # commands, functions, or both.
-        if skill_definition.chat_driver_config:
-            chat_driver_commands = ChatDriverFunctions(action_functions, run_context_provider).all()
-            chat_driver_functions = ChatDriverFunctions(action_functions, run_context_provider).all()
-            skill_definition.chat_driver_config.commands = chat_driver_commands
-            skill_definition.chat_driver_config.functions = chat_driver_functions
-
-        super().__init__(
-            skill_definition=skill_definition,
-            run_context_provider=run_context_provider,
-            actions=action_functions,
-            routines=routines,
-        )
-
-    ##################################
-    # Routines
-    ##################################
-
-    def draft_grant_proposal_routine(self) -> InstructionRoutine:
-        """
-        Update this routine description.
-        """
-        return InstructionRoutine(
-            name="draft_grant_proposal",
-            skill_name=self.skill_name,
-            description="Draft a grant proposal.",
-            routine=("gather_information_action\ncreate_draft_action\n"),
-        )
-
-    def example_routine(self) -> InstructionRoutine:
-        """
-        Update this routine description.
-        """
-        return InstructionRoutine(
-            name="template_example",
-            skill_name=self.skill_name,
-            description="Description of what the routine does.",
-            routine=("template_example_action\ntemplate_example_with_parameters_action bar\n"),
-        )
-
-    ##################################
-    # Actions
-    ##################################
-
-    def gather_information_action(self, context: ContextProtocol) -> None:
-        """
-        Update this action description.
-        """
-        pass
-
-    def create_draft_action(self, context: ContextProtocol) -> None:
-        """
-        Update this action description.
-        """
-        pass
-
-    def example_action(self, context: ContextProtocol) -> None:
-        """
-        Update this action description.
-        """
-        pass
-
-    def example_with_parameters_action(self, context: ContextProtocol, foo: str) -> None:
-        """
-        Update this action description.
-        """
-        pass
-
-
-class ProspectorSkillDefinition(SkillDefinition):
-    def __init__(
-        self,
-        name: str,
-        description: str | None = None,
-        chat_driver_config: ChatDriverConfig | None = None,
-    ) -> None:
-        if chat_driver_config:
-            chat_driver_config.instructions = INSTRUCTIONS
-
-        # Initialize the skill!
-        super().__init__(
-            name=name,
-            skill_class=Skill,
-            description=description or DESCRIPTION,
-            chat_driver_config=chat_driver_config,
-        )
diff --git a/libraries/python/skills/skills/prospector-skill/pyproject.toml b/libraries/python/skills/skills/prospector-skill/pyproject.toml
deleted file mode 100644
index dfc2c599..00000000
--- a/libraries/python/skills/skills/prospector-skill/pyproject.toml
+++ /dev/null
@@ -1,32 +0,0 @@
-[project]
-name = "prospector-skill"
-version = "0.1.0"
-description = "MADE:Exploration prospector skill"
-authors = [{name="MADE:Explorers"}]
-readme = "README.md"
-requires-python = ">=3.11"
-dependencies = [
-    "context>=0.1.0",
-    "events>=0.1.0",
-    "openai-client>=0.1.0",
-    "skill-library>=0.1.0",
-]
-
-[tool.uv]
-package = true
-
-[tool.uv.sources]
-context = { path = "../../../context", editable = true }
-events = { path = "../../../events", editable = true }
-openai-client = { path = "../../../openai-client", editable = true }
-skill-library = { path = "../../skill-library", editable = true }
-
-
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
-
-[dependency-groups]
-dev = [
-    "pyright>=1.1.389",
-]
diff --git a/libraries/python/skills/skills/prospector-skill/uv.lock b/libraries/python/skills/skills/prospector-skill/uv.lock
deleted file mode 100644
index a4138f00..00000000
--- a/libraries/python/skills/skills/prospector-skill/uv.lock
+++ /dev/null
@@ -1,1903 +0,0 @@
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-requires-python = ">=3.11"
-resolution-markers = [
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-    "python_full_version >= '3.13'",
-]
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diff --git a/libraries/python/skills/skills/skill-template/.vscode/settings.json b/libraries/python/skills/skills/skill-template/.vscode/settings.json
deleted file mode 100644
index 69d76992..00000000
--- a/libraries/python/skills/skills/skill-template/.vscode/settings.json
+++ /dev/null
@@ -1,67 +0,0 @@
-{
-  "editor.bracketPairColorization.enabled": true,
-  "editor.codeActionsOnSave": {
-    "source.fixAll": "always",
-    "source.organizeImports": "always"
-  },
-  "editor.defaultFormatter": "esbenp.prettier-vscode",
-  "editor.formatOnPaste": true,
-  "editor.formatOnSave": true,
-  "editor.formatOnType": true,
-  "editor.guides.bracketPairs": "active",
-  "files.eol": "\n",
-  "files.trimTrailingWhitespace": true,
-  "flake8.ignorePatterns": ["**/*.py"], // disable flake8 in favor of ruff
-  "jupyter.debugJustMyCode": false,
-  "python.analysis.autoFormatStrings": true,
-  "python.analysis.autoImportCompletions": true,
-  "python.analysis.diagnosticMode": "workspace",
-  "python.analysis.fixAll": ["source.unusedImports"],
-  "python.analysis.inlayHints.functionReturnTypes": true,
-  "python.analysis.typeCheckingMode": "standard",
-  "python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python",
-  "python.testing.pytestEnabled": false,
-  "search.exclude": {
-    "**/.venv": true,
-    "**/data": true
-  },
-  "[json]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[jsonc]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "editor.formatOnSave": true
-  },
-  "[python]": {
-    "editor.defaultFormatter": "charliermarsh.ruff",
-    "editor.formatOnSave": true,
-    "editor.codeActionsOnSave": {
-      "source.fixAll": "explicit",
-      "source.unusedImports": "explicit",
-      "source.organizeImports": "explicit",
-      "source.formatDocument": "explicit"
-    }
-  },
-  "ruff.nativeServer": "on",
-  // For use with optional extension: "streetsidesoftware.code-spell-checker"
-  "cSpell.ignorePaths": [
-    ".venv",
-    "node_modules",
-    "package-lock.json",
-    "settings.json",
-    "uv.lock"
-  ],
-  "cSpell.words": [
-    "dotenv",
-    "httpx",
-    "openai",
-    "pydantic",
-    "pypdf",
-    "pyproject",
-    "runtimes",
-    "tiktoken",
-    "venv",
-    "virtualenvs"
-  ]
-}
diff --git a/libraries/python/skills/skills/skill-template/Makefile b/libraries/python/skills/skills/skill-template/Makefile
deleted file mode 100644
index 1ad4520a..00000000
--- a/libraries/python/skills/skills/skill-template/Makefile
+++ /dev/null
@@ -1,2 +0,0 @@
-repo_root = $(shell git rev-parse --show-toplevel)
-include $(repo_root)/tools/makefiles/python.mk
diff --git a/libraries/python/skills/skills/skill-template/README.md b/libraries/python/skills/skills/skill-template/README.md
deleted file mode 100644
index 099d18b8..00000000
--- a/libraries/python/skills/skills/skill-template/README.md
+++ /dev/null
@@ -1,43 +0,0 @@
-# Create a New Skill using this Template directory
-
-## Getting Started
-
-- Copy this directory to a new directory with the name of your new skill.
-
-  - The name of this directory will be `<skill-name>-skill`. Be sure to use a hyphen.
-
-- Rename the `your_skill` subdirectory.
-
-  - The name of this directory will be `<skill_name>_skill`. Be sure to use an underscore.
-
-- Open `pyproject.toml` to edit:
-
-  - Update the `name = "your-skill"` to `name = "<skill-name>-skill"`. Be sure to use a hyphen. This will be the name of the skill package created and installed in the .venv directory of your new skill directory.
-  - Update the `description = "MADE:Exploration Template-Rename skill"` to `description = "<Description of your skill>"`.
-  - Add any other additional dependency packages under '[project] dependencies'.
-
-- Under your newly renamed `your_skill` subdirectory:
-
-  - Open `skill.py`:
-    - Update the class name to match the new skill name.
-    - Update the `NAME`, `CLASS_NAME`, `DESCRIPTION`, and `INSTRUCTIONS`.
-  - Open `__init__.py`:
-    - Replace all instances of `YourSkill` with `<SkillName>Skill`.
-
-- Confirm your new skill builds:
-
-  - Open a terminal
-    - Recommended `cmd` or `bash`, but `PowerShell` appears to work too.
-  - From within the new skill directory, run `make`.
-    - This will build the skill and install it in the `.venv` directory of your new skill directory.
-  - Activate the .venv environment by running:
-    - cmd: `.\.venv\Scripts\activate.bat`
-    - bash: `source .venv/bin/activate`
-    - PowerShell: `.\.venv\Scripts\Activate.ps1`
-  - Reload the VS Code window (`ctrl+shift+p`, then type `Reload Window`).
-
-## Next Steps
-
-- Open `skill.py`:
-  - Update the action(s) and routine(s).
-  - Keep the chat driver code or comment it out if not using.
diff --git a/libraries/python/skills/skills/skill-template/pyproject.toml b/libraries/python/skills/skills/skill-template/pyproject.toml
deleted file mode 100644
index 977e0d97..00000000
--- a/libraries/python/skills/skills/skill-template/pyproject.toml
+++ /dev/null
@@ -1,30 +0,0 @@
-[project]
-name = "your-skill"
-version = "0.1.0"
-description = "MADE:Exploration skill"
-readme = "README.md"
-requires-python = ">=3.11"
-dependencies = [
-    "context>=0.1.0",
-    "events>=0.1.0",
-    "openai-client>=0.1.0",
-    "skill-library>=0.1.0",
-]
-
-[tool.uv]
-package = true
-
-[tool.uv.sources]
-context = { path = "../../../context", editable = true }
-events = { path = "../../../events", editable = true }
-skill-library = { path = "../../skill-library", editable = true }
-
-
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
-
-[dependency-groups]
-dev = [
-    "pyright>=1.1.389",
-]
diff --git a/libraries/python/skills/skills/skill-template/uv.lock b/libraries/python/skills/skills/skill-template/uv.lock
deleted file mode 100644
index 1ece6b04..00000000
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-requires-python = ">=3.11"
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-]
-
-[[package]]
-name = "your-skill"
-version = "0.1.0"
-source = { editable = "." }
-dependencies = [
-    { name = "context" },
-    { name = "events" },
-    { name = "openai-client" },
-    { name = "skill-library" },
-]
-
-[package.dev-dependencies]
-dev = [
-    { name = "pyright" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "context", editable = "../../../context" },
-    { name = "events", editable = "../../../events" },
-    { name = "openai-client", specifier = ">=0.1.0" },
-    { name = "skill-library", editable = "../../skill-library" },
-]
-
-[package.metadata.requires-dev]
-dev = [{ name = "pyright", specifier = ">=1.1.389" }]
diff --git a/libraries/python/skills/skills/skill-template/your_skill/__init__.py b/libraries/python/skills/skills/skill-template/your_skill/__init__.py
deleted file mode 100644
index 8b103375..00000000
--- a/libraries/python/skills/skills/skill-template/your_skill/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from .skill import YourSkill
-
-__all__ = ["YourSkill"]
diff --git a/libraries/python/skills/skills/skill-template/your_skill/skill.py b/libraries/python/skills/skills/skill-template/your_skill/skill.py
deleted file mode 100644
index 2afa487b..00000000
--- a/libraries/python/skills/skills/skill-template/your_skill/skill.py
+++ /dev/null
@@ -1,101 +0,0 @@
-from openai_client.chat_driver import ChatDriverConfig
-from skill_library import (
-    ActionCallable,
-    ChatDriverFunctions,
-    InstructionRoutine,
-    RoutineTypes,
-    RunContext,
-    RunContextProvider,
-    Skill,
-    SkillDefinition,
-)
-
-NAME = "your"
-CLASS_NAME = "YourSkill"
-DESCRIPTION = "Description of your skill."
-DEFAULT_MAX_RETRIES = 3
-INSTRUCTIONS = "You are an assistant that has access to the provided actions."
-
-
-class YourSkill(Skill):
-    def __init__(
-        self,
-        skill_definition: "YourSkillDefinition",
-        run_context_provider: RunContextProvider,
-    ) -> None:
-        # Convenience variable to store the skill name.
-        self.skill_name = skill_definition.name
-
-        # Define some functions to be used as actions.
-        action_functions: list[ActionCallable] = [
-            self.example_action,
-            self.example_with_parameters_action,
-        ]
-
-        # Add some routines.
-        routines: list[RoutineTypes] = [
-            self.example_routine(),
-        ]
-
-        # Configure the chat driver (if using). Register all the supplied actions to it as either
-        # commands, functions, or both.
-        if skill_definition.chat_driver_config:
-            skill_definition.chat_driver_config.instructions = INSTRUCTIONS
-            skill_definition.chat_driver_config.commands = ChatDriverFunctions(
-                action_functions, run_context_provider
-            ).all()
-            skill_definition.chat_driver_config.functions = ChatDriverFunctions(
-                action_functions, run_context_provider
-            ).all()
-
-        super().__init__(
-            skill_definition=skill_definition,
-            run_context_provider=run_context_provider,
-            actions=action_functions,
-            routines=routines,
-        )
-
-    ##################################
-    # Routines
-    ##################################
-
-    def example_routine(self) -> InstructionRoutine:
-        """
-        Update this routine description.
-        """
-        return InstructionRoutine(
-            name="template_example",  # name of routine
-            skill_name=self.skill_name,
-            description="Description of what the routine does.",
-            routine=("template_example_action\ntemplate_example_with_parameters_action bar\n"),
-        )
-
-    ##################################
-    # Actions
-    ##################################
-
-    def example_action(self, run_context: RunContext) -> None:
-        """
-        Update this action description.
-        """
-        pass
-
-    def example_with_parameters_action(self, run_context: RunContext, foo: str) -> None:
-        """
-        Update this action description.
-        """
-        pass
-
-
-class YourSkillDefinition(SkillDefinition):
-    def __init__(
-        self,
-        name: str,
-        description: str | None = None,
-        chat_driver_config: ChatDriverConfig | None = None,
-        # Any other parameters you want to pass to the skill.
-    ) -> None:
-        self.name = name
-        self.description = description or DESCRIPTION
-        self.chat_driver_config = chat_driver_config
-        self.skill_class = YourSkill
diff --git a/semantic-workbench.code-workspace b/semantic-workbench.code-workspace
index 161d0df8..7b133de7 100644
--- a/semantic-workbench.code-workspace
+++ b/semantic-workbench.code-workspace
@@ -75,10 +75,10 @@
       "name": "assistants:skill-assistant",
       "path": "assistants/skill-assistant"
     },
-    {
-      "name": "libraries:anthropic-client",
-      "path": "libraries/python/anthropic-client"
-    },
+    // {
+    //   "name": "libraries:anthropic-client",
+    //   "path": "libraries/python/anthropic-client"
+    // },
     {
       "name": "libraries:assistant-drive",
       "path": "libraries/python/assistant-drive"
@@ -91,10 +91,6 @@
       "name": "libraries:content-safety",
       "path": "libraries/python/content-safety"
     },
-    {
-      "name": "libraries:context",
-      "path": "libraries/python/context"
-    },
     {
       "name": "libraries:events",
       "path": "libraries/python/events"
@@ -115,34 +111,6 @@
       "name": "libraries:semantic-workbench-assistant",
       "path": "libraries/python/semantic-workbench-assistant"
     },
-    {
-      "name": "libraries:skills:document-skill",
-      "path": "libraries/python/skills/skills/document-skill"
-    },
-    {
-      "name": "libraries:skills:form-filler-skill",
-      "path": "libraries/python/skills/skills/form-filler-skill"
-    },
-    {
-      "name": "libraries:skills:guided-conversation-skill",
-      "path": "libraries/python/skills/skills/guided-conversation-skill"
-    },
-    {
-      "name": "libraries:skills:notebooks",
-      "path": "libraries/python/skills/notebooks"
-    },
-    {
-      "name": "libraries:skills:posix-skill",
-      "path": "libraries/python/skills/skills/posix-skill"
-    },
-    {
-      "name": "libraries:skills:prospector-skill",
-      "path": "libraries/python/skills/skills/prospector-skill"
-    },
-    {
-      "name": "libraries:skills:skill-template",
-      "path": "libraries/python/skills/skills/skill-template"
-    },
     {
       "name": "libraries:skills:skill-library",
       "path": "libraries/python/skills/skill-library"
@@ -183,4 +151,4 @@
   "settings": {
     "markdown.validate.enabled": true
   }
-}
+}
\ No newline at end of file