- Add ADR-Driven Development pattern to methodologies.md (~60 lines) - Pattern: ADR → skill → native execution - Example ADR template (database migration) - Complete bash workflow with benefits - Add Native Capabilities Audit checklist to architecture.md (~50 lines) - 11 native capabilities with internal links - Onboarding tip for comprehension audit - Add Dynamic Model Switching pattern to cheatsheet.md (~40 lines) - Pattern: Sonnet → Opus → Sonnet - Cost comparison table and best practices - Add Community Validation to architecture.md (~15 lines) - External validation of 'less scaffolding, more model' approach - Cursor power user adopting Agent Skills standard - Track evaluation in docs/resource-evaluations/ (full methodology) - Update evaluations count: 24 → 55 (README + reference.yaml) - Update CHANGELOG.md with integration details Source: https://www.linkedin.com/posts/gursannikov_claudecode-embeddedengineering-aiagents-activity-7423851983331328001-DrFb Score: 4/5 (HIGH VALUE) - fills ADR workflow gap + onboarding checklist 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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