- Create claude-code-reference.yaml (~2K tokens vs 70K full guide)
- Add deep_dive section with 38 line references to main guide
- Structure: decision tree first, then prompting formula, commands, etc.
- Update README.md with LLM Reference in Core Documentation
- Update llms.txt with Machine-Optimized Reference section
- Bump version to 2.9.2
Use case: Claude Code self-reference for fast user question answering
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add structured summary file following llms.txt convention to help
AI models (Claude, ChatGPT, Perplexity, etc.) better understand
and index this repository.
Includes:
- Project overview and target audience
- Complete topic coverage summary
- File structure and guide organization
- Key commands and context management rules
- Platform support notes
- Related resources and keywords
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>