Documentation restructure: - New docs/getting-started/ guide (4 files: install, quick-start, first-skill, next-steps) - New docs/user-guide/ section (6 files: core concepts through troubleshooting) - New docs/reference/ section (CLI_REFERENCE, CONFIG_FORMAT, ENVIRONMENT_VARIABLES, MCP_REFERENCE) - New docs/advanced/ section (custom-workflows, mcp-server, multi-source) - New docs/ARCHITECTURE.md - system architecture overview - Archived legacy files (QUICKSTART.md, QUICK_REFERENCE.md, docs/guides/USAGE.md) to docs/archive/legacy/ Chinese (zh-CN) translations: - Full zh-CN mirror of all user-facing docs (getting-started, user-guide, reference, advanced) - GitHub Actions workflow for translation sync (.github/workflows/translate-docs.yml) - Translation sync checker script (scripts/check_translation_sync.sh) - Translation helper script (scripts/translate_doc.py) Content updates: - CHANGELOG.md: [Unreleased] → [3.1.0] - 2026-02-22 - README.md: updated with new doc structure links - AGENTS.md: updated agent documentation - docs/features/UNIFIED_SCRAPING.md: updated for unified scraper workflow JSON config Analysis/planning artifacts (kept for reference): - DOCUMENTATION_OVERHAUL_PLAN.md, DOCUMENTATION_OVERHAUL_SUMMARY.md - FEATURE_GAP_ANALYSIS.md, IMPLEMENTATION_GAPS_ANALYSIS.md, CREATE_COMMAND_COVERAGE_ANALYSIS.md - CHINESE_TRANSLATION_IMPLEMENTATION_SUMMARY.md, ISSUE_260_UPDATE.md Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
321 lines
7.3 KiB
Markdown
321 lines
7.3 KiB
Markdown
# Next Steps
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> **Skill Seekers v3.1.0**
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> **Where to go after creating your first skill**
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---
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## You've Created Your First Skill! 🎉
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Now what? Here's your roadmap to becoming a Skill Seekers power user.
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---
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## Immediate Next Steps
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### 1. Try Different Sources
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You've done documentation. Now try:
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```bash
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# GitHub repository
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skill-seekers create facebook/react --name react
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# Local project
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skill-seekers create ./my-project --name my-project
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# PDF document
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skill-seekers create manual.pdf --name manual
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```
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### 2. Package for Multiple Platforms
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Your skill works everywhere:
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```bash
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# Create once
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skill-seekers create https://docs.djangoproject.com/ --name django
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# Package for all platforms
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for platform in claude gemini openai langchain; do
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skill-seekers package output/django/ --target $platform
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done
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```
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### 3. Explore Enhancement Workflows
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```bash
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# See available workflows
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skill-seekers workflows list
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# Apply security-focused analysis
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skill-seekers create ./my-project --enhance-workflow security-focus
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# Chain multiple workflows
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skill-seekers create ./my-project \
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--enhance-workflow security-focus \
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--enhance-workflow api-documentation
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```
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---
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## Learning Path
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### Beginner (You Are Here)
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✅ Created your first skill
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⬜ Try different source types
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⬜ Package for multiple platforms
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⬜ Use preset configs
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**Resources:**
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- [Core Concepts](../user-guide/01-core-concepts.md)
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- [Scraping Guide](../user-guide/02-scraping.md)
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- [Packaging Guide](../user-guide/04-packaging.md)
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### Intermediate
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⬜ Custom configurations
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⬜ Multi-source scraping
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⬜ Enhancement workflows
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⬜ Vector database export
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⬜ MCP server setup
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**Resources:**
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- [Config Format](../reference/CONFIG_FORMAT.md)
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- [Enhancement Guide](../user-guide/03-enhancement.md)
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- [Advanced: Multi-Source](../advanced/multi-source.md)
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- [Advanced: MCP Server](../advanced/mcp-server.md)
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### Advanced
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⬜ Custom workflow creation
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⬜ Integration with CI/CD
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⬜ API programmatic usage
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⬜ Contributing to project
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**Resources:**
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- [Advanced: Custom Workflows](../advanced/custom-workflows.md)
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- [MCP Reference](../reference/MCP_REFERENCE.md)
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- [API Reference](../advanced/api-reference.md)
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- [Contributing Guide](../../CONTRIBUTING.md)
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---
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## Common Use Cases
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### Use Case 1: Team Documentation
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**Goal:** Create skills for all your team's frameworks
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```bash
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# Create a script
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for framework in django react vue fastapi; do
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echo "Processing $framework..."
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skill-seekers install --config $framework --target claude
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done
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```
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### Use Case 2: GitHub Repository Analysis
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**Goal:** Analyze your codebase for AI assistance
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```bash
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# Analyze your repo
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skill-seekers create your-org/your-repo --preset comprehensive
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# Install to Cursor for coding assistance
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skill-seekers install-agent output/your-repo/ --agent cursor
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```
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### Use Case 3: RAG Pipeline
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**Goal:** Feed documentation into vector database
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```bash
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# Create skill
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skill-seekers create https://docs.djangoproject.com/ --name django
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# Export to ChromaDB
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skill-seekers package output/django/ --target chroma
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# Or export directly
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export_to_chroma(skill_directory="output/django/")
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```
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### Use Case 4: Documentation Monitoring
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**Goal:** Keep skills up-to-date automatically
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```bash
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# Check for updates
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skill-seekers update --config django --check-only
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# Update if changed
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skill-seekers update --config django
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```
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---
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## By Interest Area
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### For AI Skill Builders
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Building skills for Claude, Gemini, or ChatGPT?
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**Learn:**
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- Enhancement workflows for better quality
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- Multi-source combining for comprehensive skills
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- Quality scoring before upload
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**Commands:**
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```bash
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skill-seekers quality output/my-skill/ --report
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skill-seekers create ./my-project --enhance-workflow architecture-comprehensive
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```
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### For RAG Engineers
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Building retrieval-augmented generation systems?
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**Learn:**
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- Vector database exports (Chroma, Weaviate, Qdrant, FAISS)
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- Chunking strategies
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- Embedding integration
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**Commands:**
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```bash
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skill-seekers package output/my-skill/ --target chroma
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skill-seekers package output/my-skill/ --target weaviate
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skill-seekers package output/my-skill/ --target langchain
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```
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### For AI Coding Assistant Users
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Using Cursor, Windsurf, or Cline?
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**Learn:**
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- Local codebase analysis
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- Agent installation
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- Pattern detection
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**Commands:**
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```bash
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skill-seekers create ./my-project --preset comprehensive
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skill-seekers install-agent output/my-project/ --agent cursor
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```
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### For DevOps/SRE
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Automating documentation workflows?
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**Learn:**
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- CI/CD integration
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- MCP server setup
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- Config sources
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**Commands:**
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```bash
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# Start MCP server
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skill-seekers-mcp --transport http --port 8765
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# Add config source
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skill-seekers workflows add-config-source my-org https://github.com/my-org/configs
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```
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---
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## Recommended Reading Order
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### Quick Reference (5 minutes each)
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1. [CLI Reference](../reference/CLI_REFERENCE.md) - All commands
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2. [Config Format](../reference/CONFIG_FORMAT.md) - JSON specification
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3. [Environment Variables](../reference/ENVIRONMENT_VARIABLES.md) - Settings
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### User Guides (10-15 minutes each)
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1. [Core Concepts](../user-guide/01-core-concepts.md) - How it works
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2. [Scraping Guide](../user-guide/02-scraping.md) - Source options
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3. [Enhancement Guide](../user-guide/03-enhancement.md) - AI options
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4. [Workflows Guide](../user-guide/05-workflows.md) - Preset workflows
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5. [Troubleshooting](../user-guide/06-troubleshooting.md) - Common issues
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### Advanced Topics (20+ minutes each)
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1. [Multi-Source Scraping](../advanced/multi-source.md)
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2. [MCP Server Setup](../advanced/mcp-server.md)
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3. [Custom Workflows](../advanced/custom-workflows.md)
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4. [API Reference](../advanced/api-reference.md)
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---
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## Join the Community
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### Get Help
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- **GitHub Issues:** https://github.com/yusufkaraaslan/Skill_Seekers/issues
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- **Discussions:** Share use cases and get advice
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- **Discord:** [Link in README]
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### Contribute
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- **Bug reports:** Help improve the project
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- **Feature requests:** Suggest new capabilities
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- **Documentation:** Improve these docs
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- **Code:** Submit PRs
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See [Contributing Guide](../../CONTRIBUTING.md)
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### Stay Updated
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- **Watch** the GitHub repository
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- **Star** the project
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- **Follow** on Twitter: @_yUSyUS_
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---
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## Quick Command Reference
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```bash
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# Core workflow
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skill-seekers create <source> # Create skill
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skill-seekers package <dir> --target <p> # Package
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skill-seekers upload <file> --target <p> # Upload
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# Analysis
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skill-seekers analyze --directory <dir> # Local codebase
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skill-seekers github --repo <owner/repo> # GitHub repo
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skill-seekers pdf --pdf <file> # PDF
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# Utilities
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skill-seekers estimate <config> # Page estimation
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skill-seekers quality <dir> # Quality check
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skill-seekers resume # Resume job
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skill-seekers workflows list # List workflows
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# MCP server
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skill-seekers-mcp # Start MCP server
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```
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---
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## Remember
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- **Start simple** - Use `create` with defaults
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- **Dry run first** - Use `--dry-run` to preview
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- **Iterate** - Enhance, package, test, repeat
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- **Share** - Package for multiple platforms
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- **Automate** - Use `install` for one-command workflows
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---
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## You're Ready!
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Go build something amazing. The documentation is your oyster. 🦪
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```bash
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# Your next skill awaits
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skill-seekers create <your-source-here>
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```
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