Iterative Code Review With Codex

关于

Streamline your pull request workflow by enabling a structured, iterative review process with powerful AI models. This skill guides Claude to systematically fetch review comments from tools like Codex, Gemini, or GPT, assess the feedback, and implement necessary fixes. The process involves committing changes, resolving comments, and re-requesting a comprehensive review in a loop, continuing until the AI reviewer approves the pull request, ensuring high code quality and an efficient collaboration cycle.

主要功能

• 0 GitHub stars
• Integrates with GitHub using command-line tools to manage PR comments and status.
• Establishes a clear completion condition (AI approval) for the review cycle.
• Defines a structured, iterative 4-step workflow for resolving PR review comments.
• Utilizes a prioritized selection of powerful AI models (GPT, Gemini, Codex) for code analysis.
• Provides guidance for handling feedback, including fixing valid issues and responding to false positives.

使用场景

• Systematically addressing all comments on a pull request to ensure it is ready for merging.
• Performing a thorough, multi-pass code quality check on a complex feature or bug fix.
• Automating the back-and-forth process of fixing code based on feedback from an AI reviewer.