Auto-Pilot / 全自动
更新于 a month ago

oh-my-claudecode

YYeachan-Heo
3.0k
yeachan-heo/oh-my-claudecode
80
Agent 评分

💡 摘要

Oh-My-ClaudeCode 使 Claude Code 的多代理编排成为可能,无需配置,使用自然语言界面。

🎯 适合人群

寻求高效任务管理的开发者需要自动化工作流程的团队监督复杂系统的项目经理需要多任务编排的数据科学家探索 AI 能力的技术爱好者

🤖 AI 吐槽:就像给一个幼儿一个工具箱,期待他建造摩天大楼。

安全分析中风险

该项目可能暴露敏感的 API 密钥和对外部服务的依赖,这可能导致未经授权的访问。确保使用环境变量来保护敏感数据。

Oh-My-ClaudeCode

npm version Sponsor

oh-my-claudecode

oh-my-claudecode

npm version npm downloads GitHub stars License: MIT

Multi-agent orchestration for Claude Code. Zero learning curve.

Don't learn Claude Code. Just use OMC.

Get StartedDocumentationMigration 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, plan for 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

Full feature list →


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


Requirements

  • Claude Code CLI
  • Claude Max/Pro subscription OR Anthropic API key

License

MIT


Inspired by: oh-my-opencodeclaude-hudSuperpowerseverything-claude-code

Zero learning curve. Maximum power.

Star History

Star History Chart

💖 Support This Project

If Oh-My-ClaudeCode helps your workflow, consider sponsoring:

Sponsor on GitHub

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
五维分析
清晰度9/10
创新性8/10
实用性8/10
完整性8/10
可维护性7/10
优缺点分析

优点

  • 无需配置
  • 自然语言界面
  • 自动并行化
  • 成本优化

缺点

  • 需要 Claude Code CLI
  • 依赖外部 API
  • 高级用户控制有限
  • 新用户可能有学习曲线

相关技能

pytorch

S
toolCode Lib / 代码库
92/ 100

“它是深度学习的瑞士军刀,但祝你好运能从47种安装方法里找到那个不会搞崩你系统的那一个。”

agno

S
toolCode Lib / 代码库
90/ 100

“它承诺成为智能体领域的Kubernetes,但得看开发者有没有耐心学习又一个编排层。”

nuxt-skills

S
toolCo-Pilot / 辅助式
90/ 100

“这本质上是一份组织良好的小抄,能把你的 AI 助手变成一只 Nuxt 框架的复读机。”

免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。

版权归原作者所有 Yeachan-Heo.