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ccg

Orchestrate parallel Codex and Gemini prompts into a synthesized result with conflict notes.

Updated Feb 4, 2026
Search Tags:#codex#multi-model#synthesis#gemini#ai-orchestration#prompt-management
One-click install
npx skills add https://github.com/officechbusinessservices-creator/CompliCore --skill ccg-officechbusinessservices-creator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ccg
Source: https://github.com/officechbusinessservices-creator/CompliCore/tree/main/packages/oh-my-claudecode/skills/ccg
Command: npx skills add https://github.com/officechbusinessservices-creator/CompliCore --skill ccg-officechbusinessservices-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Claude/Codex/Gemini tri-model orchestration enables parallel advisor prompts followed by a single synthesized output, improving consistency and speed.

Core Features & Use Cases

  • Parallel advisory prompts: Run Codex and Gemini prompts in parallel and merge outputs.
  • Synthesis & conflict resolution: Claude synthesizes outputs and resolves conflicts.
  • Fast decision support: Useful for architecture reviews, UX guidance, and multi-domain analyses.

Quick Start

Describe your request and let the skill run Codex and Gemini prompts in parallel, then Claude synthesizes a unified result.

Frequently Asked Questions about ccg

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

FAQPage Schema
How do I orchestrate multiple AI models like Codex and Gemini for a unified response?▼

Multi-model orchestration runs parallel Codex and Gemini prompts to produce a single synthesized result. Claude acts as the orchestrator, fetching outputs from both CLIs and merging them to resolve conflicts and present a unified recommendation.

Can I use parallel AI advisory prompts for architecture reviews and UX evaluations?▼

Parallel AI advisory prompts support architecture reviews and UX evaluations by running Codex and Gemini simultaneously. The synthesized output provides multi-domain analysis, combining multiple advisor perspectives to improve consistency and speed up decision support.

What is the best way to synthesize conflicting outputs from different AI advisors?▼

Synthesizing conflicting outputs from different AI advisors requires an orchestration layer where Claude merges parallel Codex and Gemini responses. It resolves discrepancies and generates a unified recommendation complete with conflict notes for fast decision support.

Do I need both Codex and Gemini CLIs to run cross-domain analyses?▼

Running cross-domain analyses requires the ability to fetch outputs from both Codex and Gemini CLIs. The skill depends on parallel execution of both models to generate the multi-perspective inputs needed for Claude to perform the final synthesis.

When should I use multi-model synthesis instead of a single AI advisor?▼

Multi-model synthesis is ideal when a task benefits from multiple advisor perspectives, such as complex architecture reviews or cross-domain analyses. It improves consistency over a single AI advisor by resolving conflicts between parallel Codex and Gemini outputs.

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