Multi Review

Multi-AI Code Review Skill

When the user wants a comprehensive code review using multiple AI perspectives, delegate to the review-coordinator subagent.

When to Use

Use this skill when the user:

• Asks for a "multi-AI" or "multi-perspective" review
• Wants to compare what different AI tools think about their code
• Asks for "consensus" or "cross-checking"
• Mentions Claude + Gemini + Codex reviewing together
• Wants a "comprehensive" or "full project" review
• Asks what different AIs think about their code

Default Behavior

• CLIs: All three (claude, gemini, codex)
• Focus: Comprehensive (all categories)
• Timeout: 10 minutes per CLI

What the Subagent Does

The review-coordinator subagent will:

1. Validate Prerequisites

   • Check which CLIs are installed
   • Report any missing CLIs with install instructions
   • Continue with available CLIs

2. Execute Parallel Reviews

   • Run all available CLIs simultaneously
   • Monitor for completion or timeout
   • Handle failures gracefully

3. Aggregate Results

   • Parse findings from each CLI
   • Match similar issues using fuzzy matching
   • Categorize by agreement level

4. Present Comparison Report

   • Consensus findings (all agree) - highest confidence
   • Majority findings (2+ agree) - likely valid
   • Unique findings (1 found) - needs human judgment

Example User Requests

• "Run a multi-AI review of this codebase"
• "What do Claude, Gemini, and Codex think about my code?"
• "Get a consensus review of my project"
• "Compare AI opinions on this code"
• "Do a comprehensive code review"
• "Cross-check my code with multiple AIs"

Use the review-coordinator subagent to handle the review workflow.

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