AUDIT TOOLING (3 templates): - Command: /audit-agents-skills (quick project audits) - 16-criteria framework (Identity 3x, Prompt 2x, Validation 1x, Design 2x) - Weighted scoring: 32 pts (agents/skills), 20 pts (commands) - Production grading (A-F, 80% threshold) - Fix mode with actionable suggestions - Skill: audit-agents-skills (advanced audits) - 3 modes: Quick (top-5), Full (all 16), Comparative (vs templates) - JSON + Markdown output for CI/CD - Scoring grids: criteria.yaml (externalized for reuse) EVALUATION: - Grenier agent/skill quality (3/5 - Moderate Value) - Gap: 29.5% deploy without evaluation (LangChang 2026) - Integration: Created audit command + skill + criteria - Industry context: 18% cite agent bugs as top challenge DOCUMENTATION: - Guide refs: 2 strategic call-outs (after Agent/Skill validation) - CHANGELOG: New "Added" section + evaluation details - README: Templates 106→107, Evaluations 49→24 (count corrections) - reference.yaml: 10 new audit entries + updated counts SYNC: - Landing index.html: Templates 107, Evals 24, Quiz 257 - Landing examples/index.html: Templates 107 FILES: 14 changed, 4148 insertions (+1250 lines new audit content) Co-Authored-By: Claude Sonnet 4.5 <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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