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Convert docs, repos, PDFs, videos, and more into AI-ready skill packages for LLM platforms like Claude, OpenAI, and Gemini, with auto-detection of source types and configurable preset levels.
npx claudepluginhub yusufkaraaslan/skill-seekers-pluginTransform 17 source types into AI-ready skills and RAG knowledge, directly from Claude Code.
/plugin install skill-seekers@claude-plugin-directory
Or browse for it in /plugin > Discover.
claude --plugin-dir ./path/to/skill-seekers-plugin
The plugin requires skill-seekers to be installed:
pip install skill-seekers[mcp]
The plugin bundles the Skill Seekers MCP server providing tools for:
| Command | Description |
|---|---|
/skill-seekers:create-skill <source> | Create a skill from any source (auto-detects type) |
/skill-seekers:sync-config <config> | Sync config URLs against live docs |
/skill-seekers:install-skill <source> | End-to-end: fetch, scrape, enhance, package, install |
The skill-builder skill is automatically available to Claude. It detects source types and uses the appropriate MCP tools to build skills autonomously.
# Create a skill from a documentation site
/skill-seekers:create-skill https://react.dev
# Create from a GitHub repo, targeting LangChain
/skill-seekers:create-skill pallets/flask --target langchain
# Full install workflow with AI enhancement
/skill-seekers:install-skill https://fastapi.tiangolo.com --enhance
# Sync an existing config
/skill-seekers:sync-config react
Or just ask Claude naturally:
"Create an AI skill from the React documentation" "Scrape the Flask GitHub repo and package it for OpenAI" "Export my skill to a Chroma vector database"
The skill-builder agent skill will automatically detect the intent and use the right tools.
By default, the plugin runs the MCP server locally via python -m skill_seekers.mcp.server_fastmcp. To use a remote server instead, edit .mcp.json:
{
"skill-seekers": {
"type": "http",
"url": "https://your-hosted-server.com/mcp"
}
}
Documentation (web), GitHub repos, PDFs, Word docs, EPUBs, videos, local codebases, Jupyter notebooks, HTML files, OpenAPI specs, AsciiDoc, PowerPoint, RSS/Atom feeds, man pages, Confluence, Notion, Slack/Discord exports.
Share bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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