modra40/claude-codex-skills-directory

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README

🎯 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

License: MIT Skills Count Languages Maintained PRs Welcome

Quick StartSkills OverviewUsage ExamplesContributing


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

MetricCount
Total Skills8 specialized domains
Reference Docs64+ comprehensive guides
Automation Scripts8 helper tools
Technologies Covered30+ frameworks and libraries
Expertise LevelSenior/lead engineer per skill
Documentation10,000+ lines of battle-tested knowledge

🎓 Skills Overview

AI/ML Mastery
AI/ML Mastery
PyTorch • TensorFlow • LLMs
📚 Docs
Bun.js Mastery
Bun.js + Docker
TypeScript • Hono • Drizzle
📚 Docs
Golang Mastery
Golang Mastery
Chi • SQLX • Concurrency
📚 Docs
Nuxt.js Mastery
Nuxt.js + TanStack
Vue 3 • Nuxt 3 • Query
📚 Docs
RabbitMQ Mastery
RabbitMQ Mastery
AMQP • Clustering • HA
📚 Docs
React + TanStack
React + TanStack
Router • Query • Table • Form
📚 Docs
Rust Mastery
Rust Mastery
Axum • SQLX • Memory Safety
📚 Docs
SolidJS Mastery
SolidJS + SolidStart
Fine-Grained Reactivity
📚 Docs

🚀 Quick Start

Using a Single Skill

  1. Point Claude to the relevant skill directory (e.g., ai-ml-mastery-skill/)
  2. Claude will adopt the persona and expertise defined in SKILL.md
  3. 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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Publisher

modra40modra40

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CreatedDec 27, 2025