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dev-ccg

@evolution-foundation · 收录于 5 天前 · 上游提交 2 个月前

Tri-model orchestration — run the same task through Claude + Codex + Gemini in parallel and synthesize the best answer. Use for high-stakes decisions where multi-model consensus reduces single-model bias.

适合你,如果需要在重要决策时借助多个AI模型减少偏差

/ 通过 npx 安装 校验哈希
npx oh-my-skill add evolution-foundation/evo-nexus/dev-ccg
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- evolution-foundation/evo-nexus/dev-ccg
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify evolution-foundation/evo-nexus/dev-ccg
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 7f5dd76 · 表述以原文为准
它做什么

Claude 会并行调用三个模型(Claude、Codex、Gemini)处理同一请求,对比回答后合成综合答案。如果其他模型不可用,则降级为单模型并给出警告。

什么时候触发

当你提出高风险决策、架构选择或需要多模型视角的代码审查等任务时触发。

装好后可以这样说
Claude会并行调用三模型并返回合成结果。
Claude运行三模型并行生成并综合。
技能原文 SKILL.md作者撰写 · Apache-2.0 · 7f5dd76

Dev CCG (Claude + Codex + Gemini)

Derived from oh-my-claudecode (MIT, Yeachan Heo). Adapted for the EvoNexus Engineering Layer.

EXPERIMENTAL. Tri-model orchestration: run the same prompt through Claude, Codex (OpenAI Codex / GPT-Code), and Gemini in parallel, then synthesize the best answer.

Note: This skill assumes external API access to Codex and Gemini, which may or may not be configured in EvoNexus. If only Claude is available, the skill degrades to single-model mode and warns the user.
Use When
  • High-stakes decision where single-model bias is a real concern
  • Architectural choice where you want multiple LLMs' perspectives
  • Code review where you want adversarial multi-model agreement
Do Not Use When
  • Routine work — single model is fine
  • API access to Codex/Gemini is not configured
  • The task requires real-time iteration (CCG is slow)
Workflow
  1. Format the prompt — make it model-agnostic (no Claude-specific syntax)
  2. Spawn in parallel:
  3. Claude (current session, native)
  4. Codex (via OpenAI API, if configured)
  5. Gemini (via Google API, if configured)
  6. Collect responses
  7. Synthesize:
  8. Where do they agree? → high confidence
  9. Where do they disagree? → flag for human review
  10. Combine the strongest reasoning from each
  11. Save to workspace/development/research/[C]ccg-{topic}-{date}.md
Output
## CCG Synthesis — {topic}

### Models Consulted
- ✅ Claude (Opus 4.6)
- ✅ Codex (gpt-code-X)
- ✅ Gemini (gemini-Y)

### Agreement Zones
- All three agree on: {points}

### Disagreement Zones
- Claude says X
- Codex says Y
- Gemini says Z
- → Flagged for human review

### Synthesized Answer
[Combined reasoning, marking uncertainty zones]
Pairs With
  • @apex-architect (for high-stakes architectural decisions)
  • @raven-critic (for adversarial cross-validation)
Configuration

If Codex/Gemini APIs are not configured, this skill warns:

"CCG requires Codex and Gemini API access. Currently only Claude is available — falling back to single-model mode. Configure via dev-mcp-setup if needed."
按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →

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