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.