coderabbit_pr

You can automatically resolve AI code review comments by parsing inline PR comments and review-body summaries to generate per-reviewer markdown checklists. The skill deduplicates findings by file and line, verifies issues against current code, and tracks resolution progress for each reviewer.

Yes, it auto-detects AI reviewers like CodeRabbit, Copilot, Gemini Code Assist, and Codex on a GitHub PR. It creates a separate checklist file for each reviewer, deduplicating findings across inline comments and review summaries to produce audit-ready records.

Provide a PR number to begin querying the GitHub API and parsing AI reviewer comments. The skill deduplicates findings by file, line, and title prefix, then generates a per-reviewer markdown checklist like coderabbit-review.md with status tracking and a final results summary.

Deduplicating AI code review findings is done by matching file, line number, and the first 100 characters of the comment title. This preserves precision for line-number mappings while consolidating overlapping issues from inline comments and review bodies.

Yes, the skill tracks resolution progress and outputs a final result summary for auditing. It generates per-reviewer markdown checklists that verify each finding against the codebase, recalibrate severity, and guide conversation resolution.

AI reviewers often post findings as both inline PR comments and review-body summaries. This skill deduplicates those findings by file, line, and title prefix to ensure a single, accurate entry in the generated per-reviewer checklist.