skill-seekers

What it does

Skill Seekers is a CLI and MCP server that extracts structured knowledge from documentation sites, GitHub repositories, PDFs, videos, notebooks, and 10+ other source types, then packages that knowledge for AI systems. The workflow is straightforward: run skill-seekers create <source> to extract and parse content, then skill-seekers package <output> --target <format> to export for your target platform. It handles the data transformation layer that bridges raw documentation and AI-ready knowledge assets.

Who it's for

Backend engineers and fullstack developers building Claude skills for Code, teams implementing LangChain or LlamaIndex RAG pipelines, and groups maintaining Cursor or Windsurf setups who need to ingest proprietary or public documentation at scale without manual formatting.

Common use cases

• Package framework documentation (React, Vue) as Claude skills for intelligent code generation
• Convert API reference docs into LangChain Documents for semantic search–backed QA agents
• Extract GitHub repository code and markdown into LlamaIndex TextNodes for contextualized retrieval
• Build .cursorrules files from existing documentation for IDE context injection
• Create Gemini or OpenAI skills from internal wikis, reducing manual documentation effort

Setup pitfalls

• 8 secrets detected — the codebase contains hardcoded credentials or tokens; audit and rotate any exposed API keys before production deployment
• Requires filesystem write access — the tool creates output directories and persists extracted knowledge, so run in a sandboxed environment with controlled write permissions
• Network timeouts on large sources — fetching and parsing massive documentation sites or slow-responding URLs may exceed default timeouts
• Requires Python 3.10 or later — older Python versions are not supported