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Skill Seekers 🧩 Skill Open source

Turns docs sites, repos, PDFs and videos into Agent Skills and RAG-ready knowledge

Development workflow skills · Open source ★ 15k · +64 this week · MIT · updated 2026-09-30

7.7editor score
Visit Skill Seekers ↗
GitHub stars
15k
Stars this week
+64
Forks
1.5k
Licence
MIT
Last push
2026-09-30
Maintainer
yusufkaraaslan
Installpip install skill-seekers

Third-party agent skills run with your permissions. Read the source before installing, and prefer pinned versions.

Works with

Built on the open Agent Skills standard, so it works in every app that supports Agent Skills.

About Skill Seekers

What it does

Skill Seekers is a Python command-line tool that turns documentation and code into Agent Skills and other AI-ready knowledge. You point it at a documentation site, a GitHub repository, a local codebase, a PDF or one of about fifteen other source types. It scrapes and organises the content, can use an LLM or your local coding agent to improve it, and packages the result as a SKILL.md skill with reference files. The same content can also be exported as chunks for retrieval pipelines and vector databases. When one skill combines several sources, it flags places where they conflict.

What is inside

  • Sources: documentation sites (with llms.txt and single-page-app handling), GitHub repositories, local code, PDF, Word, EPUB, Jupyter, OpenAPI, PowerPoint, AsciiDoc, HTML, RSS, man pages, YouTube or local video, Confluence, Notion and Slack or Discord exports
  • Code analysis: AST parsing, design-pattern detection and examples taken from tests
  • scan: detects the frameworks a project uses and creates a config for each
  • Export targets: Claude, Gemini, OpenAI, OpenCode and other LLM platforms, plus LangChain, LlamaIndex, Haystack, Chroma, FAISS, Weaviate, Qdrant and Pinecone
  • install-agent: copies a finished skill into the right folder for about twenty coding agents
  • MCP server with about forty tools for use from inside an agent
  • A quality score with a pass threshold

Works with

The skills it produces use the standard format and install into Claude Code, Cursor, VS Code with Copilot, Amp, Goose, OpenCode, Windsurf, Cline, Roo Code, Aider, Kilo Code, Continue and more. The MCP server is documented for Claude Code, Cursor, Windsurf, Cline and IntelliJ.

How to install

It needs Python 3.10 or newer and Git:

pip install skill-seekers

Maintenance and safety

The project is MIT licensed, actively developed and has a large test suite. It downloads whatever sources you point it at and, in API mode, sends content to the LLM provider you configure. Uploading to Claude needs your Anthropic API key. Generated skills are only as reliable as their sources, so read them before installing.

Who should use it

Developers who want an agent skill for a library, internal codebase or document set that has no official skill.

skill-generation scraping documentation rag mcp python

Pros

  • About 18 source types and 22 export targets
  • Installs generated skills into many agents
  • MCP server and quality scoring included

Cons

  • Output quality depends on sources and optional LLM enhancement
  • Many optional extras make setup sprawling

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