oh-my-claudecode
💡 Summary
Oh-My-ClaudeCode enables multi-agent orchestration for Claude Code with zero configuration and a natural language interface.
🎯 Target Audience
🤖 AI Roast: “It's like giving a toddler a toolbox and expecting a skyscraper.”
The project may expose sensitive API keys and dependencies on external services, which could lead to unauthorized access. Ensure to use environment variables for sensitive data.
Oh-My-ClaudeCode

oh-my-claudecode
Multi-agent orchestration for Claude Code. Zero learning curve.
Don't learn Claude Code. Just use OMC.
Get Started • Documentation • Migration Guide
Quick Start
Step 1: Install
/plugin marketplace add https://github.com/Yeachan-Heo/oh-my-claudecode /plugin install oh-my-claudecode
Step 2: Setup
/oh-my-claudecode:omc-setup
Step 3: Build something
autopilot: build a REST API for managing tasks
That's it. Everything else is automatic.
Why oh-my-claudecode?
- Zero configuration required - Works out of the box with intelligent defaults
- Natural language interface - No commands to memorize, just describe what you want
- Automatic parallelization - Complex tasks distributed across specialized agents
- Persistent execution - Won't give up until the job is verified complete
- Cost optimization - Smart model routing saves 30-50% on tokens
- Learn from experience - Automatically extracts and reuses problem-solving patterns
- Real-time visibility - HUD statusline shows what's happening under the hood
Features
Execution Modes
Multiple strategies for different use cases - from fully autonomous builds to token-efficient refactoring. Learn more →
| Mode | Speed | Use For | |------|-------|---------| | Autopilot | Fast | Full autonomous workflows | | Ultrapilot | 3-5x faster | Multi-component systems | | Ecomode | Fast + 30-50% cheaper | Budget-conscious projects | | Swarm | Coordinated | Parallel independent tasks | | Pipeline | Sequential | Multi-stage processing |
Intelligent Orchestration
- 32 specialized agents for architecture, research, design, testing, data science
- Smart model routing - Haiku for simple tasks, Opus for complex reasoning
- Automatic delegation - Right agent for the job, every time
Developer Experience
- Magic keywords -
ralph,ulw,eco,planfor explicit control - HUD statusline - Real-time orchestration metrics in your status bar
- Skill learning - Extract reusable patterns from your sessions
- Analytics & cost tracking - Understand token usage across all sessions
Magic Keywords
Optional shortcuts for power users. Natural language works fine without them.
| Keyword | Effect | Example |
|---------|--------|---------|
| autopilot | Full autonomous execution | autopilot: build a todo app |
| ralph | Persistence mode | ralph: refactor auth |
| ulw | Maximum parallelism | ulw fix all errors |
| eco | Token-efficient execution | eco: migrate database |
| plan | Planning interview | plan the API |
Combine them: ralph ulw: migrate database = persistence + parallelism
Utilities
Rate Limit Wait
Auto-resume Claude Code sessions when rate limits reset.
omc wait # Check status, get guidance omc wait --start # Enable auto-resume daemon omc wait --stop # Disable daemon
Requires: tmux (for session detection)
Documentation
- Full Reference - Complete feature documentation
- Website - Interactive guides and examples
- Migration Guide - Upgrade from v2.x
- Architecture - How it works under the hood
Requirements
- Claude Code CLI
- Claude Max/Pro subscription OR Anthropic API key
License
MIT
Inspired by: oh-my-opencode • claude-hud • Superpowers • everything-claude-code
Zero learning curve. Maximum power.
Star History
💖 Support This Project
If Oh-My-ClaudeCode helps your workflow, consider sponsoring:
Why sponsor?
- Keep development active
- Priority support for sponsors
- Influence roadmap & features
- Help maintain free & open source
Other ways to help:
- ⭐ Star the repo
- 🐛 Report bugs
- 💡 Suggest features
- 📝 Contribute code
Pros
- Zero configuration required
- Natural language interface
- Automatic parallelization
- Cost optimization
Cons
- Requires Claude Code CLI
- Dependency on external API
- Limited control for advanced users
- Potential learning curve for new users
Related Skills
pytorch
S“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”
agno
S“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”
nuxt-skills
S“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author Yeachan-Heo.
