Infrastructure: - Add GitHub Actions workflows (tests.yml, release.yml) - Add CHANGELOG.md with full version history - Add CONTRIBUTING.md with contribution guidelines - Add RELEASE_NOTES_v1.0.0.md for v1.0.0 release Documentation: - Update README.md with version badge (v1.0.0) - Update test count badge (14 tests) - Add links to new documentation files Features: - CI/CD pipeline with automated testing - Multi-OS testing (Ubuntu, macOS) - Multi-Python version testing (3.7-3.11) - Automated release creation on tag push - Code coverage reporting This completes the v1.0.0 production release setup.
Skill Seeker
Automatically convert any documentation website into a Claude AI skill in minutes.
What is Skill Seeker?
Skill Seeker is an automated tool that transforms any documentation website into a production-ready Claude AI skill. Instead of manually reading and summarizing documentation, Skill Seeker:
- Scrapes documentation websites automatically
- Organizes content into categorized reference files
- Enhances with AI to extract best examples and key concepts
- Packages everything into an uploadable
.zipfile 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: Quickly create Claude skills for your favorite frameworks (React, Vue, Django, etc.)
- 🎮 For Game Devs: Generate skills for game engines (Godot, Unity documentation, etc.)
- 🔧 For Teams: Create internal documentation skills for your company's APIs
- 📚 For Learners: Build comprehensive reference skills for technologies you're learning
Key Features
✅ Universal Scraper - Works with ANY documentation website ✅ AI-Powered Enhancement - Transforms basic templates into comprehensive guides ✅ MCP Server for Claude Code - Use directly from Claude Code with natural language ✅ Large Documentation Support - Handle 10K-40K+ page docs with intelligent splitting ✅ Router/Hub Skills - Intelligent routing to specialized sub-skills ✅ 8 Ready-to-Use Presets - Godot, React, Vue, Django, FastAPI, and more ✅ Smart Categorization - Automatically organizes content by topic ✅ Code Language Detection - Recognizes Python, JavaScript, C++, GDScript, etc. ✅ No API Costs - FREE local enhancement using Claude Code Max ✅ Checkpoint/Resume - Never lose progress on long scrapes ✅ Parallel Scraping - Process multiple skills simultaneously ✅ Caching System - Scrape once, rebuild instantly ✅ Fully Tested - 96 tests with 100% pass rate
Quick Example
Option 1: Use from Claude Code (Recommended)
# One-time setup (5 minutes)
./setup_mcp.sh
# Then in Claude Code, just ask:
"Generate a React skill from https://react.dev/"
Time: Automated | Quality: Production-ready | Cost: Free
Option 2: Use CLI Directly
# Install dependencies (2 pip packages)
pip3 install requests beautifulsoup4
# Generate a React skill in one command
python3 cli/doc_scraper.py --config configs/react.json --enhance-local
# Upload output/react.zip to Claude - Done!
Time: ~25 minutes | Quality: Production-ready | Cost: Free
How It Works
graph LR
A[Documentation Website] --> B[Skill Seeker]
B --> C[Scraper]
B --> D[AI Enhancement]
B --> E[Packager]
C --> F[Organized References]
D --> F
F --> E
E --> G[Claude Skill .zip]
G --> H[Upload to Claude AI]
- Scrape: Extracts all pages from documentation
- Categorize: Organizes content into topics (API, guides, tutorials, etc.)
- Enhance: AI analyzes docs and creates comprehensive SKILL.md with examples
- Package: Bundles everything into a Claude-ready
.zipfile
🚀 Quick Start
Method 1: MCP Server for Claude Code (Easiest)
Use Skill Seeker directly from Claude Code with natural language!
# One-time setup (5 minutes)
./setup_mcp.sh
# Restart Claude Code, then just ask:
In Claude Code:
List all available configs
Generate config for Tailwind at https://tailwindcss.com/docs
Scrape docs using configs/react.json
Package skill at output/react/
Benefits:
- ✅ No manual CLI commands
- ✅ Natural language interface
- ✅ Integrated with your workflow
- ✅ 9 tools available instantly (includes automatic upload!)
- ✅ Tested and working in production
Full guides:
- 📘 MCP Setup Guide - Complete installation instructions
- 🧪 MCP Testing Guide - Test all 9 tools
- 📦 Large Documentation Guide - Handle 10K-40K+ pages
- 📤 Upload Guide - How to upload skills to Claude
Method 2: CLI (Traditional)
Easiest: Use a Preset
# Install dependencies (macOS)
pip3 install requests beautifulsoup4
# Optional: Estimate pages first (fast, 1-2 minutes)
python3 estimate_pages.py configs/godot.json
# Use Godot preset
python3 doc_scraper.py --config configs/godot.json
# Use React preset
python3 doc_scraper.py --config configs/react.json
# See all presets
ls configs/
Interactive Mode
python3 doc_scraper.py --interactive
Quick Mode
python3 doc_scraper.py \
--name react \
--url https://react.dev/ \
--description "React framework for UIs"
📤 Uploading Skills to Claude
Once your skill is packaged, you need to upload it to Claude:
Option 1: Automatic Upload (API-based)
# Set your API key (one-time)
export ANTHROPIC_API_KEY=sk-ant-...
# Package and upload automatically
python3 cli/package_skill.py output/react/ --upload
# OR upload existing .zip
python3 cli/upload_skill.py output/react.zip
Benefits:
- ✅ Fully automatic
- ✅ No manual steps
- ✅ Works from command line
Requirements:
- Anthropic API key (get from https://console.anthropic.com/)
Option 2: Manual Upload (No API Key)
# Package skill
python3 cli/package_skill.py output/react/
# This will:
# 1. Create output/react.zip
# 2. Open the output/ folder automatically
# 3. Show upload instructions
# Then manually upload:
# - Go to https://claude.ai/skills
# - Click "Upload Skill"
# - Select output/react.zip
# - Done!
Benefits:
- ✅ No API key needed
- ✅ Works for everyone
- ✅ Folder opens automatically
Option 3: Claude Code (MCP) - Smart & Automatic
In Claude Code, just ask:
"Package and upload the React skill"
# With API key set:
# - Packages the skill
# - Uploads to Claude automatically
# - Done! ✅
# Without API key:
# - Packages the skill
# - Shows where to find the .zip
# - Provides manual upload instructions
Benefits:
- ✅ Natural language
- ✅ Smart auto-detection (uploads if API key available)
- ✅ Works with or without API key
- ✅ No errors or failures
📁 Simple Structure
doc-to-skill/
├── cli/
│ ├── doc_scraper.py # Main scraping tool
│ ├── package_skill.py # Package to .zip
│ ├── upload_skill.py # Auto-upload (API)
│ └── enhance_skill.py # AI enhancement
├── mcp/ # MCP server for Claude Code
│ └── server.py # 9 MCP tools
├── configs/ # Preset configurations
│ ├── godot.json # Godot Engine
│ ├── react.json # React
│ ├── vue.json # Vue.js
│ ├── django.json # Django
│ └── fastapi.json # FastAPI
└── output/ # All output (auto-created)
├── godot_data/ # Scraped data
├── godot/ # Built skill
└── godot.zip # Packaged skill
✨ Features
1. Fast Page Estimation (NEW!)
python3 estimate_pages.py configs/react.json
# Output:
📊 ESTIMATION RESULTS
✅ Pages Discovered: 180
📈 Estimated Total: 230
⏱️ Time Elapsed: 1.2 minutes
💡 Recommended max_pages: 280
Benefits:
- Know page count BEFORE scraping (saves time)
- Validates URL patterns work correctly
- Estimates total scraping time
- Recommends optimal
max_pagessetting - Fast (1-2 minutes vs 20-40 minutes full scrape)
2. Auto-Detect Existing Data
python3 doc_scraper.py --config configs/godot.json
# If data exists:
✓ Found existing data: 245 pages
Use existing data? (y/n): y
⏭️ Skipping scrape, using existing data
3. Knowledge Generation
Automatic pattern extraction:
- Extracts common code patterns from docs
- Detects programming language
- Creates quick reference with real examples
- Smarter categorization with scoring
Enhanced SKILL.md:
- Real code examples from documentation
- Language-annotated code blocks
- Common patterns section
- Quick reference from actual usage examples
4. Smart Categorization
Automatically infers categories from:
- URL structure
- Page titles
- Content keywords
- With scoring for better accuracy
5. Code Language Detection
# Automatically detects:
- Python (def, import, from)
- JavaScript (const, let, =>)
- GDScript (func, var, extends)
- C++ (#include, int main)
- And more...
5. Skip Scraping
# Scrape once
python3 doc_scraper.py --config configs/react.json
# Later, just rebuild (instant)
python3 doc_scraper.py --config configs/react.json --skip-scrape
6. AI-Powered SKILL.md Enhancement
# Option 1: During scraping (API-based, requires API key)
pip3 install anthropic
export ANTHROPIC_API_KEY=sk-ant-...
python3 cli/doc_scraper.py --config configs/react.json --enhance
# Option 2: During scraping (LOCAL, no API key - uses Claude Code Max)
python3 cli/doc_scraper.py --config configs/react.json --enhance-local
# Option 3: After scraping (API-based, standalone)
python3 cli/enhance_skill.py output/react/
# Option 4: After scraping (LOCAL, no API key, standalone)
python3 cli/enhance_skill_local.py output/react/
What it does:
- Reads your reference documentation
- Uses Claude to generate an excellent SKILL.md
- Extracts best code examples (5-10 practical examples)
- Creates comprehensive quick reference
- Adds domain-specific key concepts
- Provides navigation guidance for different skill levels
- Automatically backs up original
- Quality: Transforms 75-line templates into 500+ line comprehensive guides
LOCAL Enhancement (Recommended):
- Uses your Claude Code Max plan (no API costs)
- Opens new terminal with Claude Code
- Analyzes reference files automatically
- Takes 30-60 seconds
- Quality: 9/10 (comparable to API version)
7. Large Documentation Support (10K-40K+ Pages)
For massive documentation sites like Godot (40K pages), AWS, or Microsoft Docs:
# 1. Estimate first (discover page count)
python3 cli/estimate_pages.py configs/godot.json
# 2. Auto-split into focused sub-skills
python3 cli/split_config.py configs/godot.json --strategy router
# Creates:
# - godot-scripting.json (5K pages)
# - godot-2d.json (8K pages)
# - godot-3d.json (10K pages)
# - godot-physics.json (6K pages)
# - godot-shaders.json (11K pages)
# 3. Scrape all in parallel (4-8 hours instead of 20-40!)
for config in configs/godot-*.json; do
python3 cli/doc_scraper.py --config $config &
done
wait
# 4. Generate intelligent router/hub skill
python3 cli/generate_router.py configs/godot-*.json
# 5. Package all skills
python3 cli/package_multi.py output/godot*/
# 6. Upload all .zip files to Claude
# Users just ask questions naturally!
# Router automatically directs to the right sub-skill!
Split Strategies:
- auto - Intelligently detects best strategy based on page count
- category - Split by documentation categories (scripting, 2d, 3d, etc.)
- router - Create hub skill + specialized sub-skills (RECOMMENDED)
- size - Split every N pages (for docs without clear categories)
Benefits:
- ✅ Faster scraping (parallel execution)
- ✅ More focused skills (better Claude performance)
- ✅ Easier maintenance (update one topic at a time)
- ✅ Natural user experience (router handles routing)
- ✅ Avoids context window limits
Configuration:
{
"name": "godot",
"max_pages": 40000,
"split_strategy": "router",
"split_config": {
"target_pages_per_skill": 5000,
"create_router": true,
"split_by_categories": ["scripting", "2d", "3d", "physics"]
}
}
Full Guide: Large Documentation Guide
8. Checkpoint/Resume for Long Scrapes
Never lose progress on long-running scrapes:
# Enable in config
{
"checkpoint": {
"enabled": true,
"interval": 1000 // Save every 1000 pages
}
}
# If scrape is interrupted (Ctrl+C or crash)
python3 cli/doc_scraper.py --config configs/godot.json --resume
# Resume from last checkpoint
✅ Resuming from checkpoint (12,450 pages scraped)
⏭️ Skipping 12,450 already-scraped pages
🔄 Continuing from where we left off...
# Start fresh (clear checkpoint)
python3 cli/doc_scraper.py --config configs/godot.json --fresh
Benefits:
- ✅ Auto-saves every 1000 pages (configurable)
- ✅ Saves on interruption (Ctrl+C)
- ✅ Resume with
--resumeflag - ✅ Never lose hours of scraping progress
🎯 Complete Workflows
First Time (With Scraping + Enhancement)
# 1. Scrape + Build + AI Enhancement (LOCAL, no API key)
python3 doc_scraper.py --config configs/godot.json --enhance-local
# 2. Wait for new terminal to close (enhancement completes)
# Check the enhanced SKILL.md:
cat output/godot/SKILL.md
# 3. Package
python3 package_skill.py output/godot/
# 4. Done! You have godot.zip with excellent SKILL.md
Time: 20-40 minutes (scraping) + 60 seconds (enhancement) = ~21-41 minutes
Using Existing Data (Fast!)
# 1. Use cached data + Local Enhancement
python3 doc_scraper.py --config configs/godot.json --skip-scrape
python3 enhance_skill_local.py output/godot/
# 2. Package
python3 package_skill.py output/godot/
# 3. Done!
Time: 1-3 minutes (build) + 60 seconds (enhancement) = ~2-4 minutes total
Without Enhancement (Basic)
# 1. Scrape + Build (no enhancement)
python3 doc_scraper.py --config configs/godot.json
# 2. Package
python3 package_skill.py output/godot/
# 3. Done! (SKILL.md will be basic template)
Time: 20-40 minutes Note: SKILL.md will be generic - enhancement strongly recommended!
📋 Available Presets
| Config | Framework | Description |
|---|---|---|
godot.json |
Godot Engine | Game development |
react.json |
React | UI framework |
vue.json |
Vue.js | Progressive framework |
django.json |
Django | Python web framework |
fastapi.json |
FastAPI | Modern Python API |
Using Presets
# Godot
python3 doc_scraper.py --config configs/godot.json
# React
python3 doc_scraper.py --config configs/react.json
# Vue
python3 doc_scraper.py --config configs/vue.json
# Django
python3 doc_scraper.py --config configs/django.json
# FastAPI
python3 doc_scraper.py --config configs/fastapi.json
🎨 Creating Your Own Config
Option 1: Interactive
python3 doc_scraper.py --interactive
# Follow prompts, it will create the config for you
Option 2: Copy and Edit
# Copy a preset
cp configs/react.json configs/myframework.json
# Edit it
nano configs/myframework.json
# Use it
python3 doc_scraper.py --config configs/myframework.json
Config Structure
{
"name": "myframework",
"description": "When to use this skill",
"base_url": "https://docs.myframework.com/",
"selectors": {
"main_content": "article",
"title": "h1",
"code_blocks": "pre code"
},
"url_patterns": {
"include": ["/docs", "/guide"],
"exclude": ["/blog", "/about"]
},
"categories": {
"getting_started": ["intro", "quickstart"],
"api": ["api", "reference"]
},
"rate_limit": 0.5,
"max_pages": 500
}
📊 What Gets Created
output/
├── godot_data/ # Scraped raw data
│ ├── pages/ # JSON files (one per page)
│ └── summary.json # Overview
│
└── godot/ # The skill
├── SKILL.md # Enhanced with real examples
├── references/ # Categorized docs
│ ├── index.md
│ ├── getting_started.md
│ ├── scripting.md
│ └── ...
├── scripts/ # Empty (add your own)
└── assets/ # Empty (add your own)
🎯 Command Line Options
# Interactive mode
python3 doc_scraper.py --interactive
# Use config file
python3 doc_scraper.py --config configs/godot.json
# Quick mode
python3 doc_scraper.py --name react --url https://react.dev/
# Skip scraping (use existing data)
python3 doc_scraper.py --config configs/godot.json --skip-scrape
# With description
python3 doc_scraper.py \
--name react \
--url https://react.dev/ \
--description "React framework for building UIs"
💡 Tips
1. Test Small First
Edit max_pages in config to test:
{
"max_pages": 20 // Test with just 20 pages
}
2. Reuse Scraped Data
# Scrape once
python3 doc_scraper.py --config configs/react.json
# Rebuild multiple times (instant)
python3 doc_scraper.py --config configs/react.json --skip-scrape
python3 doc_scraper.py --config configs/react.json --skip-scrape
3. Finding Selectors
# Test in Python
from bs4 import BeautifulSoup
import requests
url = "https://docs.example.com/page"
soup = BeautifulSoup(requests.get(url).content, 'html.parser')
# Try different selectors
print(soup.select_one('article'))
print(soup.select_one('main'))
print(soup.select_one('div[role="main"]'))
4. Check Output Quality
# After building, check:
cat output/godot/SKILL.md # Should have real examples
cat output/godot/references/index.md # Categories
🐛 Troubleshooting
No Content Extracted?
- Check your
main_contentselector - Try:
article,main,div[role="main"]
Data Exists But Won't Use It?
# Force re-scrape
rm -rf output/myframework_data/
python3 doc_scraper.py --config configs/myframework.json
Categories Not Good?
Edit the config categories section with better keywords.
Want to Update Docs?
# Delete old data
rm -rf output/godot_data/
# Re-scrape
python3 doc_scraper.py --config configs/godot.json
📈 Performance
| Task | Time | Notes |
|---|---|---|
| Scraping | 15-45 min | First time only |
| Building | 1-3 min | Fast! |
| Re-building | <1 min | With --skip-scrape |
| Packaging | 5-10 sec | Final zip |
✅ Summary
One tool does everything:
- ✅ Scrapes documentation
- ✅ Auto-detects existing data
- ✅ Generates better knowledge
- ✅ Creates enhanced skills
- ✅ Works with presets or custom configs
- ✅ Supports skip-scraping for fast iteration
Simple structure:
doc_scraper.py- The toolconfigs/- Presetsoutput/- Everything else
Better output:
- Real code examples with language detection
- Common patterns extracted from docs
- Smart categorization
- Enhanced SKILL.md with actual examples
📚 Documentation
- QUICKSTART.md - Get started in 3 steps
- docs/LARGE_DOCUMENTATION.md - Handle 10K-40K+ page docs
- docs/ENHANCEMENT.md - AI enhancement guide
- docs/UPLOAD_GUIDE.md - How to upload skills to Claude
- docs/MCP_SETUP.md - MCP integration setup
- docs/CLAUDE.md - Technical architecture
- STRUCTURE.md - Repository structure
🎮 Ready?
# Try Godot
python3 doc_scraper.py --config configs/godot.json
# Try React
python3 doc_scraper.py --config configs/react.json
# Or go interactive
python3 doc_scraper.py --interactive
📝 License
MIT License - see LICENSE file for details
Happy skill building! 🚀