- Add examples/scripts/smart-suggest-roi.py: stdlib-only analyzer correlating suggestion log with session JSONL files to measure command acceptance rate. 4 acceptance signals, tier breakdown, daily trend, --json/--since/--no-sessions CLI. - Tune Aristote smart-suggest hook: tighten 5 over-firing triggers (/tech:commit, /tech:sonarqube, /tech:dupes, /check-conventions a11y, /tech:worktree) - Guide: identity re-injection hook, context engineering maturity grid, code review workflow, 1M context window GA update, Spring Break promo, security audit patterns - Resource evaluations: Nick Tune hooks (3/5), VicKayro security audit (2/5), Karl Mazier CLAUDE.md templates, Paul Rayner ContextFlow, Siddhant agent trace, Andrew Yng context hub, JP Caparas 1M context window 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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