How do I install the Dev Ccg skill?

Run npx skillmds@latest add evolution-foundation/dev-ccg in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Dev Ccg safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Dev Ccg?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Dev Ccg free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Dev Ccg?

evolution-foundation (@evolution-foundation) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Dev Ccg by evolution-foundation — Agent Skill

Name: Dev Ccg
Author: evolution-foundation

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.

File contents

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

Format the prompt — make it model-agnostic (no Claude-specific syntax)
Spawn in parallel:
- Claude (current session, native)
- Codex (via OpenAI API, if configured)
- Gemini (via Google API, if configured)
Collect responses
Synthesize:
- Where do they agree? → high confidence
- Where do they disagree? → flag for human review
- Combine the strongest reasoning from each
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."

---name: dev-ccgdescription: 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)## Workflow1. **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 each5. Save to `workspace/development/research/[C]ccg-{topic}-{date}.md`## Output```markdown## 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)## ConfigurationIf 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."

Frequently asked questions