ccg

Orchestrate parallel Codex and Gemini advisor prompts and synthesize their outputs.

1|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/atmigtnca/sidep-ops --skill ccg-atmigtnca
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ccg
Source: https://github.com/atmigtnca/sidep-ops/tree/main/skills/ccg
Command: npx skills add https://github.com/atmigtnca/sidep-ops --skill ccg-atmigtnca

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates parallel advisor prompts from Codex and Gemini and synthesizes their outputs to provide a consolidated answer, reducing manual coordination and conflicting results.

Core Features & Use Cases

  • Parallel advisor prompts: runs Codex and Gemini prompts in tandem and collects their outputs.
  • Synthesis & validation: Claude combines the two perspectives into a single, actionable recommendation.
  • Artifact generation: artifacts are stored under .omc/artifacts/ask/ for traceability and audit.

Quick Start

Invoke /ccg with a task description to run Codex and Gemini prompts in parallel and synthesize a final recommendation.

Frequently Asked Questions about ccg

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

FAQPage Schema
How do I synthesize parallel outputs from Codex and Gemini for architecture tasks?▼

Synthesizing parallel outputs from Codex and Gemini is done by invoking the /ccg command, which orchestrates parallel advisor prompts and combines their perspectives into a single actionable recommendation.

What is cross-validation between Codex and Gemini in AI model orchestration?▼

Cross-validation between Codex and Gemini is a process where parallel advisor prompts are run in tandem, and Claude synthesizes their outputs to reduce manual coordination and resolve conflicting results.

Do I need Codex and Gemini CLIs installed to coordinate parallel AI advisor prompts?▼

Yes, coordinating parallel AI advisor prompts requires both the Codex and Gemini CLIs to be installed locally, as the workflow relies on these command-line interfaces to execute and collect outputs.

What is the best way to consolidate conflicting results from multiple AI models?▼

The best way to consolidate conflicting results from multiple AI models is to orchestrate parallel prompts and apply synthesis, combining the different perspectives into a single, validated recommendation.

How does artifact generation work for synthesized AI recommendations?▼

Artifact generation for synthesized AI recommendations stores the coordinated outputs under the .omc/artifacts/ask/ directory, ensuring full traceability and auditability for architecture, design, and documentation tasks.