Skill Seeker

Automatically convert documentation websites, GitHub repositories, and PDFs into Claude AI skills in minutes.

📋 View Development Roadmap & Tasks - 134 tasks across 10 categories, pick any to contribute!

What is Skill Seeker?

Skill Seeker is an automated tool that transforms documentation websites, GitHub repositories, and PDF files into production-ready Claude AI skills. Instead of manually reading and summarizing documentation, Skill Seeker:

Scrapes multiple sources (docs, GitHub repos, PDFs) automatically
Analyzes code repositories with deep AST parsing
Detects conflicts between documentation and code implementation
Organizes content into categorized reference files
Enhances with AI to extract best examples and key concepts
Packages everything into an uploadable
```
.zip
```
file for Claude

Result: Get comprehensive Claude skills for any framework, API, or tool in 20-40 minutes instead of hours of manual work.

Why Use This?

🎯 For Developers: Create skills from documentation + GitHub repos with conflict detection
🎮 For Game Devs: Generate skills for game engines (Godot docs + GitHub, Unity, etc.)
🔧 For Teams: Combine internal docs + code repositories into single source of truth
📚 For Learners: Build comprehensive skills from docs, code examples, and PDFs
🔍 For Open Source: Analyze repos to find documentation gaps and outdated examples

Key Features

🌐 Documentation Scraping

✅ llms.txt Support - Automatically detects and uses LLM-ready documentation files (10x faster)
✅ Universal Scraper - Works with ANY documentation website
✅ Smart Categorization - Automatically organizes content by topic
✅ Code Language Detection - Recognizes Python, JavaScript, C++, GDScript, etc.
✅ 8 Ready-to-Use Presets - Godot, React, Vue, Django, FastAPI, and more

📄 PDF Support (v1.2.0)

✅ Basic PDF Extraction - Extract text, code, and images from PDF files
✅ OCR for Scanned PDFs - Extract text from scanned documents
✅ Password-Protected PDFs - Handle encrypted PDFs
✅ Table Extraction - Extract complex tables from PDFs
✅ Parallel Processing - 3x faster for large PDFs
✅ Intelligent Caching - 50% faster on re-runs

🐙 GitHub Repository Scraping (v2.0.0)

✅ Deep Code Analysis - AST parsing for Python, JavaScript, TypeScript, Java, C++, Go
✅ API Extraction - Functions, classes, methods with parameters and types
✅ Repository Metadata - README, file tree, language breakdown, stars/forks
✅ GitHub Issues & PRs - Fetch open/closed issues with labels and milestones
✅ CHANGELOG & Releases - Automatically extract version history
✅ Conflict Detection - Compare documented APIs vs actual code implementation
✅ MCP Integration - Natural language: "Scrape GitHub repo facebook/react"

🔄 Unified Multi-Source Scraping (NEW - v2.0.0)

✅ Combine Multiple Sources - Mix documentation + GitHub + PDF in one skill
✅ Conflict Detection - Automatically finds discrepancies between docs and code
✅ Intelligent Merging - Rule-based or AI-powered conflict resolution
✅ Transparent Reporting - Side-by-side comparison with ⚠️ warnings
✅ Documentation Gap Analysis - Identifies outdated docs and undocumented features
✅ Single Source of Truth - One skill showing both intent (docs) and reality (code)
✅ Backward Compatible - Legacy single-source configs still work

🔐 Private Config Repositories (NEW - v2.2.0)

✅ Git-Based Config Sources - Fetch configs from private/team git repositories
✅ Multi-Source Management - Register unlimi

Features

🌐 Documentation Scraping

✅ llms.txt Support - Automatically detects and uses LLM-ready documentation files (10x faster)
✅ Universal Scraper - Works with ANY documentation website
✅ Smart Categorization - Automatically organizes content by topic
✅ Code Language Detection - Recognizes Python, JavaScript, C++, GDScript, etc.
✅ 8 Ready-to-Use Presets - Godot, React, Vue, Django, FastAPI, and more

Usage

BULLETPROOF_QUICKSTART.md - 🎯 START HERE if you're new!
QUICKSTART.md - Quick start for experienced users
TROUBLESHOOTING.md - Common issues and solutions

Examples

Documentation Scraping

# Scrape documentation website
skill-seekers scrape --config configs/react.json

# Quick scrape without config
skill-seekers scrape --url https://react.dev --name react

# With async mode (3x faster)
skill-seekers scrape --config configs/godot.json --async --workers 8

Code Examples

http_transport_examples.sh

#!/bin/bash
# HTTP Transport Examples for Skill Seeker MCP Server
#
# This script shows various ways to start the server with HTTP transport.
# DO NOT run this script directly - copy the commands you need.

# =============================================================================
# BASIC USAGE
# =============================================================================

# Default stdio transport (backward compatible)
python -m skill_seekers.mcp.server_fastmcp

# HTTP transport on default port 8000
python -m skill_seekers.mcp.server_fastmcp --http

# =============================================================================
# CUSTOM PORT
# =============================================================================

# HTTP transport on port 3000
python -m skill_seekers.mcp.server_fastmcp --http --port 3000

# HTTP transport on port 8080
python -m skill_seekers.mcp.server_fastmcp --http --port 8080

# ==========================================================================

test_http_server.py

#!/usr/bin/env python3
"""
Manual test script for HTTP transport.

This script starts the MCP server in HTTP mode and tests the endpoints.

Usage:
    python examples/test_http_server.py
"""

import asyncio
import subprocess
import time
import sys
import requests


async def test_http_server():
    """Test the HTTP server."""
    print("=" * 60)
    print("Testing Skill Seeker MCP Server - HTTP Transport")
    print("=" * 60)
    print()

    # Start the server in the background
    print("1. Starting HTTP server on port 8765...")
    server_process = subprocess.Popen(
        [
            sys.executable,
            "-m",
            "skill_seekers.mcp.server_fastmcp",
            "--http",
            "--port",
            "8765",
        ],
        stdout=subprocess.PIPE,
        stderr=subprocess.PIPE,
        text=True,
    )

    # Wait for server to start
    print("2. Waiting for server to start...")
    time.sleep(3)

    try:
        # Test health endpoint
        print("3.

Skill Seekers

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Skill Seeker

What is Skill Seeker?

Why Use This?

Key Features

🌐 Documentation Scraping

📄 PDF Support (v1.2.0)

🐙 GitHub Repository Scraping (v2.0.0)

🔄 Unified Multi-Source Scraping (NEW - v2.0.0)

🔐 Private Config Repositories (NEW - v2.2.0)

Features

🌐 Documentation Scraping

Usage

Examples

Documentation Scraping

Code Examples

http_transport_examples.sh

test_http_server.py

License

Quick Start

Manual Installation

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