# 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:

```bash
# 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:

```bash
# 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

```bash
# 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:**
- [Core Concepts](../user-guide/01-core-concepts.md)
- [Scraping Guide](../user-guide/02-scraping.md)
- [Packaging Guide](../user-guide/04-packaging.md)

### Intermediate

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

**Resources:**
- [Config Format](../reference/CONFIG_FORMAT.md)
- [Enhancement Guide](../user-guide/03-enhancement.md)
- [Advanced: Multi-Source](../advanced/multi-source.md)
- [Advanced: MCP Server](../advanced/mcp-server.md)

### Advanced

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

**Resources:**
- [Advanced: Custom Workflows](../advanced/custom-workflows.md)
- [MCP Reference](../reference/MCP_REFERENCE.md)
- [API Reference](../advanced/api-reference.md)
- [Contributing Guide](../../CONTRIBUTING.md)

---

## Common Use Cases

### Use Case 1: Team Documentation

**Goal:** Create skills for all your team's frameworks

```bash
# 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

```bash
# 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

```bash
# 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

```bash
# 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:**
```bash
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:**
```bash
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, or Cline?

**Learn:**
- Local codebase analysis
- Agent installation
- Pattern detection

**Commands:**
```bash
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:**
```bash
# 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](../reference/CLI_REFERENCE.md) - All commands
2. [Config Format](../reference/CONFIG_FORMAT.md) - JSON specification
3. [Environment Variables](../reference/ENVIRONMENT_VARIABLES.md) - Settings

### User Guides (10-15 minutes each)

1. [Core Concepts](../user-guide/01-core-concepts.md) - How it works
2. [Scraping Guide](../user-guide/02-scraping.md) - Source options
3. [Enhancement Guide](../user-guide/03-enhancement.md) - AI options
4. [Workflows Guide](../user-guide/05-workflows.md) - Preset workflows
5. [Troubleshooting](../user-guide/06-troubleshooting.md) - Common issues

### Advanced Topics (20+ minutes each)

1. [Multi-Source Scraping](../advanced/multi-source.md)
2. [MCP Server Setup](../advanced/mcp-server.md)
3. [Custom Workflows](../advanced/custom-workflows.md)
4. [API Reference](../advanced/api-reference.md)

---

## Join the Community

### Get Help

- **GitHub Issues:** https://github.com/yusufkaraaslan/Skill_Seekers/issues
- **Discussions:** Share use cases and get advice
- **Discord:** [Link in README]

### Contribute

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

See [Contributing Guide](../../CONTRIBUTING.md)

### Stay Updated

- **Watch** the GitHub repository
- **Star** the project
- **Follow** on Twitter: @_yUSyUS_

---

## Quick Command Reference

```bash
# 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. 🦪

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