Skip to content
Automation
Skill

/dev-ccg

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.

From plugin
evo-nexus
520193 skills38 agents40 commands9 MCP
Install
$ npx -y skills add evolution-foundation/evo-nexus --skill dev-ccg --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/dev-ccg

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

dev-ccg.SKILL.md
name: dev-ccg
description: 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.

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:**

  • Claude (current session, native)
  • Codex (via OpenAI API, if configured)
  • Gemini (via Google API, if configured)

3. **Collect responses** 4. **Synthesize:**

  • Where do they agree? → high confidence
  • Where do they disagree? → flag for human review
  • Combine the strongest reasoning from each

5. 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."

Read more
Ships withevo-nexus

The open source operating system for AI-powered businesses

Get the whole plugin

Other skills on evo-nexus.