ccg

Orchestrate Claude, Codex, and Gemini models for complex AI workflows.

2|1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/r3dlex/oh-my-auggie --skill ccg-r3dlex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ccg
Source: https://github.com/r3dlex/oh-my-auggie/tree/main/plugins/oma/skills/ccg
Command: npx skills add https://github.com/r3dlex/oh-my-auggie --skill ccg-r3dlex

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables the orchestration of multiple language models to enhance the quality and scope of complex AI tasks.

Core Features & Use Cases

  • Multi-model coordination for tasks requiring different model strengths
  • Routing strategies to assign tasks to Claude, Codex, or Gemini based on their capabilities
  • Research, coding, reasoning workflows combined to produce superior results
  • Use case examples include software development, comprehensive research, and multi-perspective analysis

Quick Start

Provide the task details, and use one of the routing strategies like ccg:claude-first to start the multi-model process.

Frequently Asked Questions about ccg

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

FAQPage Schema
How does multi-model orchestration improve complex AI workflows?

Multi-model orchestration improves complex AI workflows by routing tasks to Claude, Codex, or Gemini based on their specific strengths, ensuring optimal multi-step reasoning, code generation, and research synthesis output integration.

What is the best way to coordinate multiple AI models for software development?

The best way to coordinate multiple AI models for software development is applying routing strategies like `ccg:claude-first` to assign tasks based on model specialization, combining reasoning and coding workflows for superior results.

Can I use different routing strategies to assign tasks to Claude, Codex, and Gemini?

Yes, you can use routing strategies like `ccg:claude-first` to assign tasks to Claude, Codex, and Gemini, ensuring effective model assignment by matching specific AI model strengths to your diverse application scenarios.

When do I need multi-model coordination for research synthesis tasks?

You need multi-model coordination for research synthesis tasks when your AI workflows require combining different model strengths for multi-step reasoning, comprehensive research, and multi-perspective analysis to produce superior integrated outputs.

Do I need specific dependencies to route tasks across multiple language models?

No specific dependencies are required to route tasks across multiple language models. You simply provide the task details and use a routing strategy to start the multi-model process for your AI workflows.