What happens if Codex rejects a plan?

If Codex rejects a plan or implementation, the cycle restarts from the Sonnet review phase to ensure that all models remain in sync with the updated logic.

Which AI models are involved in this skill?

The pipeline primarily utilizes Claude Sonnet for planning and implementation, while incorporating specialized review steps from Opus and Codex.

How does the review process work?

It uses a sequential gating system where each model must approve the plan or code before the next step. If any model finds an issue, it must be fixed before proceeding.

What is the Multi-AI pipeline?

It is a structured workflow that uses different AI models to plan, review, and implement code changes to ensure high quality and fewer bugs through diverse perspectives.

Multi-AI Orchestration Pipeline

Name: Multi-AI Orchestration Pipeline
Author: Z-M-Huang

byZ-M-Huang

•

Productivity & Workflow

Orchestrates a robust multi-model AI workflow for high-reliability software planning, implementation, and multi-stage review.

The Multi-AI pipeline skill implements a sophisticated multi-agent workflow that leverages different AI models—including Sonnet, Opus, and Codex—to ensure code quality through a structured cycle of planning, refinement, and implementation. By managing internal task states and enforcing rigorous review gates, this skill ensures that every technical approach is scrutinized by multiple AI perspectives before a single line of code is written, and again before the work is finalized. It is an essential tool for developers tackling complex refactors or critical features where architectural integrity and error reduction are paramount.

Key Features

01Automated state management and task persistence via .task directory

02Structured plan refinement with technical approach documentation

03Multi-model review gates using Sonnet, Opus, and Codex

04Sequential implementation and code verification workflow

05Automated environment cleanup and orchestration scripting

0611 GitHub stars

Use Cases

01Implementing complex features where architectural planning is critical

02Enforcing standardized code quality through automated multi-model peer review

03High-stakes refactoring projects requiring multiple validation layers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add z-m-huang/claude-codex multi-ai

For use in Claude.ai and ChatGPT

Download Skill