Skill_Seekers

Overview

Skill Seekers is a powerful data layer for AI systems that transforms multiple source types into structured knowledge assets. It can ingest documentation websites, GitHub repositories, PDFs, videos, notebooks, wikis, and more, then analyze and structure them into comprehensive skills ready for AI platforms. The server offers export to 20+ targets including Claude, Gemini, OpenAI, LangChain, LlamaIndex, various vector databases, and AI coding assistants like Cursor. With smart chunking, AI-powered enhancement, and platform-agnostic export, it dramatically reduces the time needed to prepare high-quality AI skills from days to just 15-45 minutes.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• create_skillcreate <source>

  Create a skill from documentation sites, GitHub repos, or local files

  Try:Create a skill from React documentationTry:Create a skill from the facebook/react GitHub repositoryTry:Create a skill from this PDF file
• package_skillpackage <output_path> --target <platform>

  Package a created skill for specific AI platforms

  Try:Package the React skill for Claude AITry:Package the Django skill for LangChainTry:Export the created skill to OpenAI format
• process_videovideo --url <url> --name <name>

  Extract code, transcripts, and structured knowledge from videos

  Try:Process this YouTube tutorial videoTry:Extract knowledge from this local tutorial video
• process_confluenceconfluence --space <space> --name <name>

  Create skills from Confluence wiki spaces

  Try:Create a skill from our team's Confluence wiki
• process_notionnotion --database-id <id> --name <name>

  Create skills from Notion databases

  Try:Create a skill from our Notion documentation
• process_chatchat --export-dir <dir> --name <name>

  Create skills from Slack/Discord chat exports

  Try:Create a skill from our team's Slack export
• setup_video_processingvideo --setup

  Install GPU-aware visual dependencies for video processing

  Try:Set up my system for video processing
• list_presets

  List available configuration presets for different frameworks

  Try:Show me available configuration presetsTry:List presets for React and Vue
• create_from_localcreate <local_path>

  Create a skill from local project files

  Try:Create a skill from my local project directoryTry:Create a skill from this local HTML documentation
• export_to_vector_dbpackage <output_path> --format <format>

  Export skill in vector database compatible formats

  Try:Export the skill in ChromaDB formatTry:Prepare the skill for Pinecone vector upsert
• enhance_skill

  AI-enhance an existing skill with specific focus areas

  Try:Enhance the skill with security focusTry:Apply architecture-comprehensive enhancement
• process_rss_feedcreate <feed_url>

  Create skills from RSS/Atom feeds

  Try:Create a skill from this documentation RSS feed

Note: Tool names and signatures inferred from CLI commands throughout the README. The MCP server appears to expose CLI-style commands as tools.

Comparable tools

Installation

# Install via pip
pip install skill-seekers

# Basic usage
skill-seekers create https://docs.example.com/
skill-seekers package output/example --target claude

{
  "mcpServers": {
    "skill-seekers": {
      "command": "skill-seekers",
      "args": ["mcp"]
    }
  }
}

FAQ

What source types does Skill Seekers support?

Skill Seekers supports 18+ source types including documentation websites, GitHub repositories, PDFs, videos, Jupyter Notebooks, Word/EPUB/AsciiDoc documents, OpenAPI specs, PowerPoint presentations, RSS feeds, man pages, Confluence wikis, Notion pages, and Slack/Discord exports.

Can Skill Seekers export to multiple AI platforms?

Yes, Skill Seekers can export the same knowledge asset to 20+ platforms including Claude, Gemini, OpenAI, LangChain, LlamaIndex, various vector databases, and AI coding assistants like Cursor, Windsurf, and Cline.

On Hacker News

Recent discussion from the developer community.

• Turn Docs, Code and PDFs into Claude AI Skills in Minutes▲ 1
  Story by bakigul · 2025-11-07

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