- Create comprehensive Cowork docs (23 files in cowork/) - 6 guides: overview, getting started, capabilities, security, troubleshooting - 60+ ready-to-use prompts across 4 categories - 5 step-by-step workflows - Reference materials: cheatsheet, FAQ, comparison, glossary - Integrate Perplexity research (P0/P1/P2) - Exact error messages with solutions (VPN, Chrome host, context limits) - Competitive analysis (vs Copilot/Gemini/ChatGPT/Apple Intelligence) - Enterprise validation (TELUS, Rakuten, Zapier stats) - OCR accuracy benchmarks (97% field, 63% line-item) - Token budget planning per task type - Document critical limitations - VPN incompatibility (#1 community issue) - Context limit reality (165K vs 200K theoretical) - Platform constraints (macOS only) - Usage limits and pricing (Pro $20, Max $100-200) - Update central files - README.md: detailed Cowork section with tables - VERSION: 3.9.6 → 3.9.7 - machine-readable/reference.yaml: add cowork_reference entry - machine-readable/cowork-reference.yaml: new LLM-optimized index (~1.5K tokens) 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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