Skill Seekers

An automated conversion system that transforms documentation websites into production-ready Claude AI skills through intelligent scraping, content organization, and AI-powered enhancement.

Core Purpose

Skill Seekers automates the entire process of creating Claude skills from documentation:

• Scrape documentation websites automatically and intelligently
• Extract PDF documents including scanned PDFs via OCR
• Organize content into categorized reference files
• Enhance with AI to extract examples and key concepts
• Package everything into uploadable .zip files for Claude

Three Access Methods

python cli/doc_scraper.py --preset react
python cli/doc_scraper.py --preset godot
python cli/doc_scraper.py --preset django

python cli/doc_scraper.py --config my_docs.json

Key Capabilities

Universal Documentation Scraping

Intelligent Content Organization

Automatic Categorization:

• Groups related documentation by topic
• Detects code language and examples
• Creates logical reference structure
• Maintains hierarchy and relationships

Smart Processing:

• Caching for efficiency
• Checkpoint and resume for large docs
• Parallel processing capabilities
• Handles 10,000-40,000+ pages

AI-Powered Enhancement

Router/Hub Skills

For Massive Documentation:

Creates intelligent routing systems:

• Hub skill routes to specialized sub-skills
• Organizes by topic or framework section
• Maintains context across sub-skills
• Optimizes for token efficiency

Four-Step Workflow

Pre-Built Configuration Presets

The tool includes ready-to-use configurations for popular frameworks:

Advanced Features

Smart Caching

Efficiency Optimizations:

• Cache scraped content locally
• Resume from checkpoints
• Skip already processed pages
• Incremental updates for documentation changes

Parallel Processing

Performance Scaling:

• Multi-threaded scraping
• Parallel content processing
• Batch PDF extraction
• Concurrent enhancement operations

MCP Server Integration

Claude Code Native Support:

Nine specialized tools available through natural language:

• Skill generation commands
• Configuration management
• Progress monitoring
• Enhancement controls
• Upload automation

Practical Use Cases

Technical Requirements

Getting Started

Quick Start Guide

1. Clone the Repository:

git clone https://github.com/yusufkaraaslan/Skill_Seekers.git
cd Skill_Seekers

2. Install Dependencies:

pip install -r requirements.txt

3. Use a Preset:

python cli/doc_scraper.py --preset react

4. Upload to Claude:

python cli/upload_skill.py --skill-path output/react-skill.zip

Using with Claude Code

1. Set up MCP server (instructions in repository)

2. Use natural language in Claude Code:

• "Create a Vue.js skill from the official docs"
• "Scrape Django documentation and package as skill"
• "Build a skill for FastAPI"

3. Claude handles scraping, organization, and packaging automatically

CLI Tools Reference

# With preset
python cli/doc_scraper.py --preset godot

# With custom config
python cli/doc_scraper.py --config config.json

# Estimate page count first
python cli/estimate_pages.py --url https://docs.example.com

python cli/enhance_skill.py --skill-path output/my-skill

python cli/package_skill.py --skill-path output/my-skill

python cli/upload_skill.py --skill-path output/skill.zip

Configuration Options

Custom Scraping Rules

Define URL patterns, content selectors, and filtering rules:

{
  "base_url": "https://docs.example.com",
  "url_patterns": ["/docs/**"],
  "exclude_patterns": ["/blog/**"],
  "content_selector": "article.content",
  "max_pages": 1000
}

Content Organization

Specify categorization and structure:

{
  "categories": {
    "api": "API Reference",
    "guides": "User Guides",
    "examples": "Code Examples"
  },
  "auto_detect_language": true
}

Handling Large Documentation

Best Practices

Efficient Scraping

Optimization Tips:

• Use estimate_pages.py before full scraping
• Enable caching for iterative development
• Set appropriate rate limits
• Filter unnecessary pages early
• Use parallel processing for large sites

Content Quality

Enhancement Strategies:

• Enable AI enhancement for key sections
• Extract code examples separately
• Preserve original documentation structure
• Include cross-references and links
• Test skill with real queries

Skill Organization

Structuring Guidelines:

• Logical categorization by topic
• Clear reference file naming
• Comprehensive SKILL.md instructions
• Include usage examples
• Document skill capabilities

Troubleshooting

Community & Support

The repository includes:

• Comprehensive documentation
• Example configurations
• Troubleshooting guides
• Community discussions
• Regular updates

Repository Resources

The Skill Seekers repository includes:

• Complete CLI tools suite
• Eight pre-built configuration presets
• MCP server integration
• Detailed setup guides
• Testing and validation tools
• Example skills and templates

Visit the Skill Seekers repository for complete documentation, setup guides, and the latest updates.

About This Tool

Automated tool that transforms any documentation website into a production-ready Claude AI skill in minutes through intelligent scraping, organization, and packaging.