review-pr-feedback

To triage GitHub PR comments, this Skill collects unresolved feedback from CodeRabbit, AI, and human reviewers, and categorizes them by reviewer and file. It then validates actionable items based on soundness and regression risk before applying changes.

You can auto-apply validated changes from CodeRabbit feedback by using criteria like validity, feasibility, and regression risk to filter comments. The Skill implements approved changes and generates a rationale thread to document decisions for reviewers.

The best way to manage unresolved code review comments is to collect them across your current GitHub branch, validate actionable feedback, and apply only the approved changes. This maintains traceability by recording applied changes and clear justifications.

Yes, this tool works with feedback from both AI and human reviewers. It collects and categorizes unresolved comments from CodeRabbit, AI tools, and human contributors on GitHub pull requests to ensure all feedback is triaged effectively.

To document rationale for applied code changes, the Skill replies to PR comments with clear justifications. It maintains traceability by recording the applied changes, the reasons for those decisions, and the related PR activity.

The criteria used to validate actionable PR feedback include validity, soundness, feasibility, and regression risk. This ensures that only justified and safe code changes are applied to your codebase from reviewer comments.