Integration of "How to write a good spec for AI agents" by Addy Osmani: Evaluation (docs/resource-evaluations/addy-osmani-good-spec.md): - Score: 4/5 (High Value - Integrate within 1 week) - Fills gaps: modular design, operational boundaries, command specs - Fact-checked: credentials verified via Perplexity, all claims sourced - Challenge phase: technical-writer agent corrected initial 3/5 → 4/5 Spec-First Workflow Updates (guide/workflows/spec-first.md): - NEW: "Modular Spec Design" section (~50 lines, line 322) Pattern: Split large specs into focused files (CLAUDE-[domain].md) - NEW: "Operational Boundaries" section (~60 lines, line 372) Three-tier system: Always/Ask First/Never → maps to Claude Code modes - NEW: "Command Spec Template" section (~40 lines, line 432) Executable command specs with expected outputs & error handling - NEW: "Anti-Pattern: Monolithic CLAUDE.md" section (~30 lines, line 472) Explains cognitive load problem (>200 lines = context pollution) Reference Index (machine-readable/reference.yaml): - 8 new entries: spec_first_workflow → spec_osmani_score - Links to new spec-first.md sections with line numbers - Source attribution: https://addyosmani.com/blog/good-spec/ Public Facing (README.md): - Incremented resource evaluations count: 35 → 36 File growth: spec-first.md 327 → 507 lines (+180) Source: Addy Osmani (former Chrome team, 14y), published Jan 13, 2026 Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |
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| claude-code-releases.yaml | ||
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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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