/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.
$ npx -y skills add evolution-foundation/evo-nexus --skill dev-ccg --agent claude-codeHow 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.mdname: 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
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."
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