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omc奥麦克

Agent Skill

omc 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

768

周安装

32

GitHub Stars

11

下载量

256
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:omc(奥麦克)
来源仓库:https://github.com/akillness/skills-template
仓库路径:skills/omc
安装命令:
npx skills add https://github.com/akillness/skills-template --skill omc
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/akillness/skills-template --skill omc

简介

omc 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 支持 Claude Code 内多代理编排与 29+ 专用代理的智能模型路由。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • omc 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

omc (oh-my-claudecode) — Claude Code Multi-Agent Orchestration

When to use this skill

  • You want Teams-first multi-agent orchestration inside Claude Code
  • You need 29+ specialized agents with smart model routing (Haiku → Opus)
  • Complex tasks that benefit from parallel agent execution with verify/fix loops
  • Any Claude Code workflow that needs persistent, guaranteed-completion execution
  • You want skill layers: Guarantee (ralph) → Enhancement (ultrawork) → Execution
  • You need 3-model synthesis with Codex + Gemini + Claude (CCG mode)

1. Installation (3 Steps)

Step 1: Install plugin

/plugin marketplace add https://github.com/Yeachan-Heo/oh-my-claudecode
/plugin install oh-my-claudecode

Step 2: Run setup

/oh-my-claudecode:omc-setup

Step 3: Build something

autopilot: build a REST API for managing tasks
npm alternative: npm install -g oh-my-claude-sisyphus

Enable native teams (~/.claude/settings.json):

{
  "env": {
    "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
  }
}

2. Orchestration Modes

ModeWhat it isUse For
Team (canonical)5-stage pipeline: plan → prd → exec → verify → fixCoordinated agents on shared task list
AutopilotFull autonomous 5-stage pipelineEnd-to-end feature work (idea → code)
UltraworkMaximum parallelism burstFast fixes/refactors across codebase
RalphPersistent loop: execute → verify → fixTasks that must complete fully, no partials
PipelineSequential staged processingStrict ordering / multi-step transforms
CCG3-model synthesis (Codex + Gemini + Claude)Mixed backend + UI work
omc team (CLI)tmux workers with Codex/Gemini/ClaudeCross-model code review, security, design

Skill Layer Composition

┌──────────────────────────────────────────┐
│ GUARANTEE LAYER (optional)               │
│ ralph — won't stop until verified done   │
└──────────────────────────────────────────┘
                    │
                    ▼
┌──────────────────────────────────────────┐
│ ENHANCEMENT LAYER (0–N skills)           │
│ ultrawork (parallel) | git-master (VCS)  │
└──────────────────────────────────────────┘
                    │
                    ▼
┌──────────────────────────────────────────┐
│ EXECUTION LAYER (primary skill)          │
│ default (build) | planner | orchestrate  │
└──────────────────────────────────────────┘

3. Magic Keywords (Auto-Detection)

KeywordEffect
autopilot, build me, I want aFull autonomous pipeline
ralph, don't stop, must completePersistent loop until verified
ulw, ultraworkMaximum parallelism
ccg, claude-codex-gemini3-model synthesis
ralplanConsensus-based iterative planning
deep interview, ouroborosSocratic requirements clarification
deepsearchCodebase-focused deep search
deepanalyze, deep-analyzeDeep analysis mode
ultrathinkDeep reasoning mode
tdd, test firstTDD workflow
deslop, anti-slopClean AI expression patterns
cancelomc, stopomcCancel active execution mode
planPlanning interview

4. Team Mode (Canonical)

/oh-my-claudecode:team 3:executor "fix all TypeScript errors"

5-stage pipeline:

team-plan → team-prd → team-exec → team-verify → team-fix (loop)
  • team-plan: Planning agent creates task list
  • team-prd: Architect designs solution
  • team-exec: N parallel executor agents implement
  • team-verify: Verifier confirms completion
  • team-fix: If verification fails, fix loop repeats

5. Agent System (29+ Specialized Agents)

Build / Analysis Lane: explore (haiku) · analyst (opus) · planner (opus) · architect (opus) · debugger (sonnet) · executor (sonnet) · verifier (sonnet) · tracer (sonnet)

Review Lane: code-reviewer (opus) · security-reviewer (sonnet) · critic (opus) · code-simplifier (opus)

Domain Specialists: test-engineer · designer · writer · qa-tester · scientist · git-master · document-specialist

Invoke via: /oh-my-claudecode:<agent-name> or delegated through Task tool.

See references/agents-catalog.md for full profiles.


6. CLI Tools

omc team (tmux Workers)

omc team 2:codex "review auth module for security"
omc team 2:gemini "redesign UI components"
omc team status <session>
omc team shutdown <session>

omc ask (Provider Advisor)

omc ask claude "review this migration plan"
omc ask codex --prompt "identify architecture risks"
omc ask gemini --prompt "propose UI polish ideas"

omc wait (Rate Limit Auto-Resume)

omc wait              # Check status
omc wait --start      # Enable auto-resume daemon
omc wait --stop       # Disable daemon

Notifications

omc config-stop-callback telegram --enable --token <bot> --chat <id>
omc config-stop-callback discord --enable --webhook <url>
omc config-stop-callback slack --enable --webhook <url>

7. Updating

# Sync latest version
/plugin marketplace update omc

# Re-run setup
/oh-my-claudecode:omc-setup

# If issues after update
/oh-my-claudecode:omc-doctor

8. Optional: Multi-AI Orchestration

ProviderInstallWhat it enables
Gemini CLInpm install -g @google/gemini-cliDesign review, UI consistency (1M token context)
Codex CLInpm install -g @openai/codexArchitecture validation, code review cross-check

Instructions

  1. Detect intent — match user request to the best orchestration mode (Team, Autopilot, Ralph, Ultrawork, CCG)
  2. Provide install path — if OMC is not yet installed, give the 3-step install sequence
  3. Show the invocation — give the exact command or magic keyword for the chosen mode
  4. Set expectations — explain what the mode does (pipeline stages, loop behavior, parallelism)
  5. Surface relevant CLI — mention omc team, omc ask, or omc wait if they apply
  6. Link to references — point to the appropriate references/ file for deep-dive details

Examples

Example 1: Multi-agent team task

User: "여러 에이전트가 병렬로 TypeScript 에러 전부 고쳐줘" Response: Use Team mode — /oh-my-claudecode:team 3:executor "fix all TypeScript errors". Runs 3 parallel executors through plan→prd→exec→verify→fix pipeline.

Example 2: Guaranteed completion

User: "테스트 전부 통과할 때까지 멈추지 마" Response: Use Ralph mode — ralph: fix all failing tests. Persistent execute→verify→fix loop until all tests pass. Won't stop until verified.

Example 3: New installation

User: "OMC 설치하고 싶어" Response: 3-step install: /plugin marketplace add https://github.com/Yeachan-Heo/oh-my-claudecode/plugin install oh-my-claudecode/oh-my-claudecode:omc-setup. Enable native teams in ~/.claude/settings.json.


Best practices

  • Default to Team mode for multi-agent work — swarm/ultrapilot are legacy and route to Team
  • Enable CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 in ~/.claude/settings.json before using Team mode
  • Use ralph for critical tasks — it composes automatically with ultrawork for parallel+persistent execution
  • Use CCG for mixed workloads — backend execution (Codex) + large-context analysis (Gemini) + orchestration (Claude)
  • Re-run /oh-my-claudecode:omc-setup after every plugin update to refresh hooks and CLAUDE.md
  • npm package name differs — it's oh-my-claude-sisyphus, not oh-my-claudecode
  • Cancel safely — use cancelomc keyword or /oh-my-claudecode:cancel; state is preserved for resume

Quick Reference

ActionCommand
Install/plugin marketplace add https://github.com/Yeachan-Heo/oh-my-claudecode
Setup/oh-my-claudecode:omc-setup
Team mode/oh-my-claudecode:team N:executor "task"
Autopilotautopilot: <task>
Ralph loopralph: <task>
Ultraworkulw <task>
CCG synthesisccg: <task>
Deep interviewdeep interview: <topic>
Cancelcancelomc
Update/plugin marketplace update omc && /oh-my-claudecode:omc-setup
Debug/oh-my-claudecode:omc-doctor

Full documentation · GitHub


References

FileContents
references/agents-catalog.mdAll 29+ agent profiles, tiers, delegation rules
references/modes-reference.mdMode deep-dives, skill layer composition
references/hooks-reference.mdHook events, injection patterns, kill switches
references/cli-reference.mdFull CLI syntax: omc team/ask/wait/config

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.56%
按下载量换算91

Claude

30.47%
按下载量换算78

Cursor

19.83%
按下载量换算51

Gemini CLI

10.23%
按下载量换算26

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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