菜单
Claude-Codex-Gemini tri-model orchestration via /ask codex + /ask gemini, then Claude synthesizes results
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | ccg |
| description | Claude-Codex-Gemini tri-model orchestration via /ask codex + /ask gemini, then Claude synthesizes results |
| level | 5 |
CCG routes through the canonical /ask skill (/ask codex + /ask gemini), then Claude synthesizes both outputs into one answer.
Use this when you want parallel external perspectives without launching tmux team workers.
npm install -g @openai/codex (or @openai/codex)npm install -g @google/gemini-cliomc ask command available1. Claude decomposes the request into two advisor prompts:
- Codex prompt (analysis/architecture/backend)
- Gemini prompt (UX/design/docs/alternatives)
2. Claude runs via CLI (skill nesting not supported):
- `omc ask codex "<codex prompt>"`
- `omc ask gemini "<gemini prompt>"`
3. Artifacts are written under `.omc/artifacts/ask/`
4. Claude synthesizes both outputs into one final response
When invoked, Claude MUST follow this workflow:
Split the user request into:
Note: Skill nesting (invoking a skill from within an active skill) is not supported in Claude Code. Always use the direct CLI path via Bash tool.
Run both advisors:
omc ask codex "<codex prompt>"
omc ask gemini "<gemini prompt>"
Read latest ask artifacts from:
.omc/artifacts/ask/codex-*.md
.omc/artifacts/ask/gemini-*.md
Return one unified answer with:
If one provider is unavailable:
If both unavailable:
/oh-my-claudecode:ccg <task description>
Example:
/oh-my-claudecode:ccg Review this PR - architecture/security via Codex and UX/readability via Gemini
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Enforces Law 4 (Verify Before Reporting) of the 7 Laws of AI Agent Discipline at the deploy seam. A merge into a branch that auto-deploys is not "done" until the deploy provider reports the merged commit SHA running and a healthcheck endpoint returns 200. Companion to the vendored `finishing-a-development-branch` skill — does not replace it, runs after it for projects on Railway, Cloudflare Workers, Vercel, Netlify, Fly.io, or any other auto-deploy target.
Enforces Law 1 (Research Before Executing) of the 7 Laws of AI Agent Discipline. Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.
Enforces Law 1 (Research Before Executing) of the 7 Laws of AI Agent Discipline. Establishes git ground truth — branch, status, stashes, worktrees, ahead/behind — before any mutation, halts on protected or destructive operations, then carries the known-good state through to a landed PR: stage by filename, commit one concern, push the feature branch, verify the push landed, open the PR, and after the PR merges fast-forward the default branch and check it out.
Enforces Law 4 (Verify Before Reporting) of the 7 Laws of AI Agent Discipline. A comprehensive verification system for agent coding sessions covering build, types, lint, tests, security, and diff with a PASS/FAIL report.