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Next Steps

Skill Seekers v3.1.0
Where to go after creating your first skill

You've Created Your First Skill! 🎉

Now what? Here's your roadmap to becoming a Skill Seekers power user.

Immediate Next Steps

1. Try Different Sources

You've done documentation. Now try:

# GitHub repository
skill-seekers create facebook/react --name react

# Local project
skill-seekers create ./my-project --name my-project

# PDF document
skill-seekers create manual.pdf --name manual

2. Package for Multiple Platforms

Your skill works everywhere:

# Create once
skill-seekers create https://docs.djangoproject.com/ --name django

# Package for all platforms
for platform in claude gemini openai langchain; do
  skill-seekers package output/django/ --target $platform
done

3. Explore Enhancement Workflows

# See available workflows
skill-seekers workflows list

# Apply security-focused analysis
skill-seekers create ./my-project --enhance-workflow security-focus

# Chain multiple workflows
skill-seekers create ./my-project \
  --enhance-workflow security-focus \
  --enhance-workflow api-documentation

Learning Path

Beginner (You Are Here)

✅ Created your first skill
⬜ Try different source types
⬜ Package for multiple platforms
⬜ Use preset configs

Resources:

Intermediate

⬜ Custom configurations
⬜ Multi-source scraping
⬜ Enhancement workflows
⬜ Vector database export
⬜ MCP server setup

Resources:

Advanced

⬜ Custom workflow creation
⬜ Integration with CI/CD
⬜ API programmatic usage
⬜ Contributing to project

Resources:

Common Use Cases

Use Case 1: Team Documentation

Goal: Create skills for all your team's frameworks

# Create a script
for framework in django react vue fastapi; do
  echo "Processing $framework..."
  skill-seekers install --config $framework --target claude
done

Use Case 2: GitHub Repository Analysis

Goal: Analyze your codebase for AI assistance

# Analyze your repo
skill-seekers create your-org/your-repo --preset comprehensive

# Install to Cursor for coding assistance
skill-seekers install-agent output/your-repo/ --agent cursor

Use Case 3: RAG Pipeline

Goal: Feed documentation into vector database

# Create skill
skill-seekers create https://docs.djangoproject.com/ --name django

# Export to ChromaDB
skill-seekers package output/django/ --target chroma

# Or export directly
export_to_chroma(skill_directory="output/django/")

Use Case 4: Documentation Monitoring

Goal: Keep skills up-to-date automatically

# Check for updates
skill-seekers update --config django --check-only

# Update if changed
skill-seekers update --config django

By Interest Area

For AI Skill Builders

Building skills for Claude, Gemini, or ChatGPT?

Learn:

  • Enhancement workflows for better quality
  • Multi-source combining for comprehensive skills
  • Quality scoring before upload

Commands:

skill-seekers quality output/my-skill/ --report
skill-seekers create ./my-project --enhance-workflow architecture-comprehensive

For RAG Engineers

Building retrieval-augmented generation systems?

Learn:

  • Vector database exports (Chroma, Weaviate, Qdrant, FAISS)
  • Chunking strategies
  • Embedding integration

Commands:

skill-seekers package output/my-skill/ --target chroma
skill-seekers package output/my-skill/ --target weaviate
skill-seekers package output/my-skill/ --target langchain

For AI Coding Assistant Users

Using Cursor, Windsurf, Cline, Roo, Aider, Bolt, Kilo, Continue, or Kimi Code?

Learn:

  • Local codebase analysis
  • Agent installation
  • Pattern detection

Commands:

skill-seekers create ./my-project --preset comprehensive
skill-seekers install-agent output/my-project/ --agent cursor

For DevOps/SRE

Automating documentation workflows?

Learn:

  • CI/CD integration
  • MCP server setup
  • Config sources

Commands:

# Start MCP server
skill-seekers-mcp --transport http --port 8765

# Add config source
skill-seekers workflows add-config-source my-org https://github.com/my-org/configs

Recommended Reading Order

Quick Reference (5 minutes each)

  1. CLI Reference - All commands
  2. Config Format - JSON specification
  3. Environment Variables - Settings

User Guides (10-15 minutes each)

  1. Core Concepts - How it works
  2. Scraping Guide - Source options
  3. Enhancement Guide - AI options
  4. Workflows Guide - Preset workflows
  5. Troubleshooting - Common issues

Advanced Topics (20+ minutes each)

  1. Multi-Source Scraping
  2. MCP Server Setup
  3. Custom Workflows
  4. API Reference

Join the Community

Get Help

Contribute

  • Bug reports: Help improve the project
  • Feature requests: Suggest new capabilities
  • Documentation: Improve these docs
  • Code: Submit PRs

See Contributing Guide

Stay Updated

  • Watch the GitHub repository
  • Star the project
  • Follow on Twitter: @yUSyUS

Quick Command Reference

# Core workflow
skill-seekers create <source>              # Create skill
skill-seekers package <dir> --target <p>   # Package
skill-seekers upload <file> --target <p>   # Upload

# Analysis
skill-seekers analyze --directory <dir>    # Local codebase
skill-seekers github --repo <owner/repo>   # GitHub repo
skill-seekers pdf --pdf <file>             # PDF

# Utilities
skill-seekers estimate <config>            # Page estimation
skill-seekers quality <dir>                # Quality check
skill-seekers resume                       # Resume job
skill-seekers workflows list               # List workflows

# MCP server
skill-seekers-mcp                          # Start MCP server

Remember

  • Start simple - Use create with defaults
  • Dry run first - Use --dry-run to preview
  • Iterate - Enhance, package, test, repeat
  • Share - Package for multiple platforms
  • Automate - Use install for one-command workflows

You're Ready!

Go build something amazing. The documentation is your oyster. 🦪

# Your next skill awaits
skill-seekers create <your-source-here>