npx skills add modra40/claude-codex-skills-directoryREADME
🎯 Claude and Codex Skills Directory
Elite Engineering Mastery Collection for Claude AI / ChatGPT Codex
Transform Claude AI / ChatGPT Codex into a senior/lead engineer across 8 specialized domains
Quick Start • Skills Overview • Usage Examples • Contributing
What is This?
The Claude Codex Skills Directory is a comprehensive collection of 8 mastery-level expertise systems that transform Claude AI / ChatGPT Codex into a world-class senior/lead engineer across multiple technology domains. Each skill embodies production experience with battle-tested patterns, anti-patterns to avoid, debugging strategies, and real-world decision frameworks.
📊 Skills at a Glance
| Metric | Count |
|---|---|
| Total Skills | 8 specialized domains |
| Reference Docs | 64+ comprehensive guides |
| Automation Scripts | 8 helper tools |
| Technologies Covered | 30+ frameworks and libraries |
| Expertise Level | Senior/lead engineer per skill |
| Documentation | 10,000+ lines of battle-tested knowledge |
🎓 Skills Overview
|
AI/ML Mastery PyTorch • TensorFlow • LLMs 📚 Docs |
Bun.js + Docker TypeScript • Hono • Drizzle 📚 Docs |
Golang Mastery Chi • SQLX • Concurrency 📚 Docs |
Nuxt.js + TanStack Vue 3 • Nuxt 3 • Query 📚 Docs |
|
RabbitMQ Mastery AMQP • Clustering • HA 📚 Docs |
React + TanStack Router • Query • Table • Form 📚 Docs |
Rust Mastery Axum • SQLX • Memory Safety 📚 Docs |
SolidJS + SolidStart Fine-Grained Reactivity 📚 Docs |
🚀 Quick Start
Using a Single Skill
- Point Claude to the relevant skill directory (e.g.,
ai-ml-mastery-skill/) - Claude will adopt the persona and expertise defined in
SKILL.md - Reference files in
references/for deep-dive knowledge
Using Multiple Skills
Load multiple skills for cross-domain projects:
- golang-mastery-skill (backend API)
- react-tanstack-mastery-skill (frontend)
- rabbitmq-mastery-skill (message broker)
Example Prompt
"Load the AI/ML mastery skill and help me build a production-ready
sentiment analysis model using PyTorch. Include proper error handling,
logging, and Docker deployment."
📝 Usage Examples
Example 1: AI/ML - Building Sentiment Analysis with PyTorch
Scenario: You need a production-ready sentiment analysis model
Load Skill: ai-ml-mastery-skill
Ask Claude:
"Build a sentiment analysis model using PyTorch and transformers.
In
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CreatedDec 27, 2025