cccg

Coordinate parallel analyses from Copilot, Claude, Codex, and Gemini into one synthesis.

5|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/RobinNorberg/oh-my-copilot --skill cccg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cccg
Source: https://github.com/RobinNorberg/oh-my-copilot/tree/main/skills/cccg
Command: npx skills add https://github.com/RobinNorberg/oh-my-copilot --skill cccg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CCCG coordinates four independent model analyses in parallel and synthesizes their findings into a single answer.

Core Features & Use Cases

  • Cross-model validation: compare perspectives from Copilot, Claude, Codex, and Gemini.
  • Architecture and UX reviews: facilitates design decisions with diverse viewpoints.
  • Fast advisory synthesis: produce actionable recommendations with a unified plan.

Quick Start

Invoke the skill using /oh-my-copilot:cccg <task description> to start parallel analyses and synthesis across four models.

Frequently Asked Questions about cccg

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

FAQPage Schema
How do I run parallel model analysis for code review and architecture decisions?

Parallel model analysis coordinates multiple independent model analyses simultaneously and synthesizes their findings. It enables cross-model validation by comparing perspectives from different providers to facilitate design decisions.

What is cross-model validation and when do I need it for software architecture reviews?

Cross-model validation compares perspectives from multiple independent models to validate architecture and design decisions. It is needed when you require diverse viewpoints to ensure robust cross-checking of complex software engineering tasks.

Do I need external model CLIs to run multimodel orchestration?

Yes, multimodel orchestration requires external model CLIs and the CCCG orchestration workflow to operate. It includes fallback handling to manage the process if some external model providers are unavailable.

Can I use multimodel parallel analysis if one of the model providers is unavailable?

Yes, parallel analysis includes fallback handling if some model providers are unavailable. The orchestration workflow coordinates the available models and synthesizes findings from the active providers.

What's the best way to synthesize findings from multiple models into a unified answer?

The best way to synthesize findings is using a dedicated orchestration workflow that coordinates independent analyses and merges them. This produces actionable recommendations and a unified plan from the diverse viewpoints.

Why should I use multimodel parallel analysis instead of a single model for design decisions?

Multimodel parallel analysis provides diverse viewpoints for cross-validation that a single model cannot offer. It synthesizes independent findings into a unified answer, producing more robust architecture and UX reviews.