Multi-AI Code Reviewer
Standardizes cross-model code reviews and handovers between different AI coding assistants through Git-integrated workflows.
The discuss-multi-ai skill facilitates a seamless collaborative workflow between multiple AI models like Claude, Codex, and Gemini. It enables different AIs to peer-review each other’s code changes by inspecting Git commits, identifying potential bugs, and documenting technical concerns in a standardized format. This ensures higher code quality through cross-model validation while maintaining a clear, traceable audit trail of all AI-to-AI interactions and decision-making within your repository.
Key Features
01Automated cross-model code auditing and logic verification
02Automated handover text generation for seamless model switching
03Support for major AI providers including Claude, Codex, and Gemini
045 GitHub stars
05Intelligent Git-integrated workflow for tracking multi-agent changes
06Standardized documentation of AI review findings in a dedicated directory
Use Cases
01Creating a transparent audit log of AI-suggested modifications and their technical rationales
02Requesting a second opinion from a different AI model on complex architectural changes
03Coordinating sequential code reviews in teams utilizing multiple AI coding assistants