feat(llm-ref): add machine-optimized YAML index for Claude Code
- 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>
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@ -139,6 +139,7 @@ curl -sL https://raw.githubusercontent.com/FlorianBruniaux/claude-code-ultimate-
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|------|---------|-----------------|
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| **[Ultimate Guide](./english-ultimate-claude-code-guide.md)** | 8500+ lines, 32K+ words, 10 sections | ~3 hours (or by section) |
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| **[Cheat Sheet](./cheatsheet-en.md)** | 1-page printable reference | 5 minutes |
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| **[LLM Reference](./claude-code-reference.yaml)** | Machine-optimized index (~2K tokens) | For Claude/AI assistants |
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| **[Setup Audit](./claude-setup-audit-prompt.md)** | Optimize your configuration | ~10 minutes |
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| **[Examples Library](./examples/)** | Production-ready templates | Browse as needed |
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@ -315,7 +316,7 @@ If this guide saved you time, helped you master Claude Code, or inspired your wo
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---
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*Version 2.9.1 | January 2026 | Crafted with Claude*
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*Version 2.9.2 | January 2026 | Crafted with Claude*
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<!-- SEO Keywords -->
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<!-- claude code, claude code tutorial, anthropic cli, ai coding assistant, claude code mcp,
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