Add it to Claude Code
claude mcp add skill-seekers -- skill-seekers mcpMake your agent remember this setup
skill-seekers's config, env vars, and the gotchas you hit — recalled in every future Claude Code, Cursor, and Codex session.
npx conare@latestFree · one command · indexes the sessions already on disk. Set up in the browser instead →
What it does
- Transforms 17 source types including documentation, GitHub repos, PDFs, and videos into structured knowledge.
- Supports multiple AI targets including Claude Skills, LangChain, LlamaIndex, and Cursor.
- Provides a universal preprocessing layer for RAG pipelines and AI coding assistants.
- Integrated with Claude Code for seamless AI-ready skill generation.
Tools 2
create_skillTransform a source (URL, repo, or local path) into a structured knowledge asset.package_skillPackage processed knowledge for specific AI targets like Claude, LangChain, or Cursor.Try it
Original README from yusufkaraaslan/Skill_Seekers
Skill Seekers
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🧠 The data layer for AI systems. Skill Seekers turns documentation sites, GitHub repos, PDFs, videos, notebooks, wikis, and 10+ more source types into structured knowledge assets—ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline) in minutes, not hours.
🌐 Visit SkillSeekersWeb.com - Browse 24+ preset configs, share your configs, and access complete documentation!
📋 View Development Roadmap & Tasks - 134 tasks across 10 categories, pick any to contribute!
🌐 Ecosystem
Skill Seekers is a multi-repo project. Here's where everything lives:
| Repository | Description | Links |
|---|---|---|
| Skill_Seekers | Core CLI & MCP server (this repo) | PyPI |
| skillseekersweb | Website & documentation | Live |
| skill-seekers-configs | Community config repository | |
| skill-seekers-action | GitHub Action for CI/CD | |
| skill-seekers-plugin | Claude Code plugin | |
| homebrew-skill-seekers | Homebrew tap for macOS |
Want to contribute? The website and configs repos are great starting points for new contributors!
🧠 The Data Layer for AI Systems
Skill Seekers is the universal preprocessing layer that sits between raw documentation and every AI system that consumes it. Whether you are building Claude skills, a LangChain RAG pipeline, or a Cursor .cursorrules file — the data preparation is identical. You do it once, and export to all targets.
# One command → structured knowledge asset
skill-seekers create https://docs.react.dev/
# or: skill-seekers create facebook/react
# or: skill-seekers create ./my-project
# Export to any AI system
skill-seekers package output/react --target claude # → Claude AI Skill (ZIP)
skill-seekers package output/react --target langchain # → LangChain Documents
skill-seekers package output/react --target llama-index # → LlamaIndex TextNodes
skill-seekers package output/react --target cursor # → .cursorrules
What gets built
| Output | Target | What it powers |
|---|---|---|
| Claude Skill (ZIP + YAML) | --target claude |
Claude Code, Claude API |
| Gemini Skill (tar. |