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ccg

Route tasks through Codex, Gemini, and Claude to synthesize multi-model outcomes.

Updated Apr 20, 2026
Search Tags:#codex#claude#orchestration#gemini#ccg#ai-pipeline
One-click install
npx skills add https://github.com/jimmi2051/oh-my-copilot --skill ccg-jimmi2051
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ccg
Source: https://github.com/jimmi2051/oh-my-copilot/tree/main/plugins/omc-copilot/skills/ccg
Command: npx skills add https://github.com/jimmi2051/oh-my-copilot --skill ccg-jimmi2051

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates three AI models (Claude, Codex, Gemini) to generate a single synthesized answer from multiple perspectives, saving time and reducing coordination overhead.

Core Features & Use Cases

  • Tri-model orchestration: routing tasks to Claude, Codex, and Gemini and synthesizing outputs.
  • Use cases: architecture reviews, design critique, and documentation drafting.
  • Example: When you need backend accuracy from Codex and UX clarity from Gemini, Claude merges results.

Quick Start

Describe your task and let the tri-model orchestrator generate a synthesized answer.

Frequently Asked Questions about ccg

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multi-model reasoning across Claude, Codex, and Gemini?▼

Tri-model orchestration coordinates Claude, Codex, and Gemini by routing tasks to each model and synthesizing their outputs. This mechanism merges artifacts to generate a single answer, reducing the manual coordination overhead of querying each AI model separately.

Can I use Claude to merge backend accuracy from Codex and UX critique from Gemini?▼

Yes, Claude synthesizes results by collecting specialized outputs from Codex and Gemini. When you need backend accuracy from Codex and UX clarity from Gemini, Claude merges these artifacts to produce a unified answer tailored to your specific design critique or architecture review.

Do I need Codex and Gemini CLIs available to run tri-model orchestration?▼

Yes, you need Codex and Gemini CLIs available, Claude integration, and an orchestrator capable of collecting and merging artifacts. These prerequisites enable the routing of tasks across the three AI models and the subsequent synthesis of their generated outputs.

What is the best way to get a synthesized answer from multiple AI models for architecture reviews?▼

Using a tri-model orchestrator is the best way to synthesize answers for architecture reviews. It routes your review tasks through Codex, Gemini, and Claude, collecting and merging their individual artifacts to produce a comprehensive cross-domain analysis outcome.

When should I not use a multi-model AI pipeline for task synthesis?▼

Avoid multi-model orchestration for simple tasks requiring only a single AI perspective or when Codex and Gemini CLIs are unavailable. This approach adds coordination overhead, making it less suitable for straightforward queries that do not need cross-domain artifact merging.

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