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cc-codex-review

Coordinate multi-agent debates between Claude Code and Codex for technical reviews.

11|2|Updated Jan 21, 2026
Search Tags:#code review#architecture design#session recovery#collaborative analysis#AI debate#multi-turn discussion
One-click install
npx skills add https://github.com/codingSamss/all-my-ai-needs --skill cc-codex-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cc-codex-review
Source: https://github.com/codingSamss/all-my-ai-needs/tree/main/platforms/claude/skills/cc-codex-review
Command: npx skills add https://github.com/codingSamss/all-my-ai-needs --skill cc-codex-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables dynamic, multi-turn discussion and review of technical subjects through an orchestrated debate between Claude Code and Codex, streamlining collaborative analysis and decision-making.

Core Features & Use Cases

  • Topic-Driven Debate: Initiate structured multi-round discussions on architecture, code, or bugs with AI arguing and evaluating viewpoints.
  • Cross-Session Continuity: Recover ongoing debates using session IDs or summary templates to preserve context across interruptions.
  • Automated Workflow: Manage complex multi-agent conversations to produce consensus decisions, design plans, or code reviews, saving manual effort and enhancing collaboration.

Quick Start

Ask the AI to analyze your system architecture or review code by starting a discussion with the relevant topic descriptor and let it handle multi-round debate automatically.

Frequently Asked Questions about cc-codex-review

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

FAQPage Schema
How do I facilitate multi-agent AI debate for code review and architecture design?▼

Multi-agent AI debate for code review and architecture design coordinates Claude Code and Codex to conduct structured multi-turn discussions, generating consensus decisions and collaborative analysis for software engineering tasks.

Can I recover an ongoing AI code review debate across different sessions?▼

You can recover ongoing AI code review debates across sessions by using specific session IDs or summary templates, which preserves the discussion context and allows multi-turn analysis to resume smoothly after interruptions.

How do I start a structured multi-turn discussion for bug analysis?▼

To start structured multi-turn bug analysis, provide the AI with a relevant topic descriptor or bug context, and the automated workflow will handle the multi-layered evaluation and debate between AI agents.

Does multi-agent collaborative analysis work for both software architecture and code review?▼

Multi-agent collaborative analysis works for both software architecture and code review by orchestrating Claude Code and Codex to evaluate viewpoints, argue technical merits, and produce automated consensus decisions for engineering scenarios.

What are the limitations of using automated AI debate for technical decision making?▼

Limitations of automated AI debate for technical decision making include its dependency on the reasoning capabilities of the integrated Claude Code and Codex agents, requiring clear topic descriptors to effectively manage complex multi-layered evaluations.

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