- guide/workflows/rpi.md (new): Research → Plan → Implement, 3-phase pattern with explicit GO gates, slash command templates, worked example - guide/workflows/changelog-fragments.md (new): per-PR YAML fragment enforcement, 3-layer system (CLAUDE.md rule + UserPromptSubmit hook + CI gate) - examples/hooks/bash/smart-suggest.sh (new): UserPromptSubmit behavioral coach, 3-tier priority (enforcement/discovery/contextual), ROI logging - guide/core/known-issues.md: LLM Day-to-Day Performance Variance section, 4 root causes (probabilistic inference, MoE routing, infra, context sensitivity) - guide/workflows/README.md: added RPI entry + quick selection row - machine-readable/reference.yaml: added entries for changelog_fragments, smart_suggest - CHANGELOG.md: [Unreleased] entries for all 4 new items - IDEAS.md: prompt-caching MCP plugin research note (testing in progress) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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| .. | ||
| claude-code-releases.yaml | ||
| cowork-reference.yaml | ||
| llms.txt | ||
| README.md | ||
| reference.yaml | ||
Machine-Readable References
Files optimized for LLM/AI consumption.
Contents
| File | Description | Tokens |
|---|---|---|
| reference.yaml | Structured index with line numbers for deep dives | ~2K |
| llms.txt | Standard LLM context file for repository indexation | ~1.5K |
Usage
Give Claude Code instant expertise
# Paste into any AI assistant
curl -sL https://raw.githubusercontent.com/FlorianBruniaux/claude-code-ultimate-guide/main/machine-readable/reference.yaml
Reference in Claude Code
@machine-readable/reference.yaml
Add to system prompts
Include the YAML content in your AI assistant's system prompt for Claude Code expertise.
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