ccg

Orchestrate parallel Codex and Gemini prompts and synthesize results with Claude.

1|Updated Apr 6, 2026

Search Tags:#cli #codex #artifacts #synthesis #gemini #orchestrate #ai-prompting

Ready to run

npx skills add https://github.com/Hyeonjun0527/yeon --skill ccg-hyeonjun0527

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ccg
Source: https://github.com/Hyeonjun0527/yeon/tree/main/.codex/skills/ccg
Command: npx skills add https://github.com/Hyeonjun0527/yeon --skill ccg-hyeonjun0527

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Claude-Codex-Gemini tri-model orchestration that routes prompts from Codex and Gemini and synthesizes the results into a single, actionable answer.

Core Features & Use Cases

Orchestrates Codex and Gemini prompts in parallel to provide diverse perspectives
Synthesizes outputs into a coherent final recommendation
Great for cross-validation, architecture reviews, and UX/docs comparison

Quick Start

Instruct Claude to run both advisors and synthesize the results in one pass.

Frequently Asked Questions about ccg

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

FAQPage Schema

How do I orchestrate parallel prompts from Codex and Gemini for cross-domain analysis?▼

To orchestrate parallel advisory prompts, you route queries to Codex and Gemini simultaneously and synthesize their artifacts into a single coherent answer using Claude, providing fast multi-perspective feedback for complex tasks.

What is multi-model synthesis for architecture reviews?▼

Multi-model synthesis is the process of collecting parallel outputs from different AI advisors and synthesizing them into a single actionable recommendation, which is highly effective for cross-validation and architecture reviews.

How do I collect and synthesize CLI artifacts from multiple AI models?▼

You collect CLI artifacts by orchestrating parallel CLI invocations to different models, then apply Claude synthesis to merge the collected outputs into one coherent final answer in a single end-to-end workflow.

When should I use tri-model orchestration instead of a single AI advisor?▼

Use tri-model orchestration for complex, cross-domain analysis tasks where fast, multi-perspective feedback is valuable and you require a single coherent answer synthesized from diverse model outputs.

Can I use Claude to synthesize UX and documentation comparison outputs from Gemini and Codex?▼

Yes, you can orchestrate parallel advisory prompts from Gemini and Codex for UX and docs comparison, then use Claude to synthesize the diverse results into a single actionable recommendation.

What are the limitations of using parallel AI prompting for synthesis?▼

Parallel AI prompting requires managing CLI invocations and artifact collection from multiple models, meaning the orchestration workflow complexity increases and you depend on the availability of Codex and Gemini to synthesize a final answer.