Skill Seekers

Name: Skill Seekers
Author: yusufkaraaslan

@yusufkaraaslan

关于 Skill Seekers

Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35 MCP tools for scraping, packaging, and exporting to vector databases. Supports 16+ LLM platforms.

#ai #rag #documentation #skills #mcp #knowledge-base #vector-database #preprocessing

基本信息

分类

记忆与知识

传输方式

stdio

发布者

yusufkaraaslan

提交者

yusyus

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "skill-seekers": {
      "command": "python",
      "args": [
        "-m",
        "skill_seekers.mcp.server_fastmcp"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Skill Seekers?

A CLI tool that transforms 17 source types (documentation websites, GitHub repos, PDFs, videos, Jupyter Notebooks, Word documents, EPUBs, OpenAPI specs, PowerPoint presentations, RSS feeds, man pages, Confluence wikis, Notion pages, Slack/Discord exports, and more) into structured knowledge assets for AI systems. It serves as a universal preprocessing layer between raw documentation and AI targets including Claude, Gemini, OpenAI, RAG pipelines (LangChain, LlamaIndex, Haystack), vector databases (Pinecone, ChromaDB, FAISS, Qdrant), and AI coding assistants (Cursor, Windsurf, Cline, Continue.dev).

How to use Skill Seekers?

Install via pip install skill-seekers. Then run skill-seekers create <source> (e.g., a URL, GitHub repository, or local path) to ingest content. Finally, export the resulting asset to any target platform using skill-seekers package output/<name> --target <platform> (e.g., claude, langchain, cursor). Use skill-seekers video --url ... for video sources.

Key features of Skill Seekers

Ingest from 17 source types: docs, GitHub, PDFs, videos, notebooks, wikis, and more
Export to 16 AI platforms: Claude, Gemini, OpenAI, LangChain, LlamaIndex, Haystack, multiple vector DBs, and AI coding assistants
AI-enhanced SKILL.md generation with 500+ line examples, patterns, and guides
Smart chunking that preserves code blocks and maintains context for RAG pipelines
Video extraction with transcripts, OCR, GPU auto-detection, and vision API fallback
Battle-tested: 2,540+ tests, 24+ preset configs, production-ready

Use cases of Skill Seekers

Build a production-grade AI Skill for Claude from a public API documentation site
Preprocess a GitHub

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