iterating-pr-reviews

Automating pull request review comments involves fetching reviewer feedback, classifying findings, and driving fixes, rejections, or deferrals until the review state converges. This Skill coordinates that loop across bot comments and CLI subagents.

Handling multiple automated bot reviews requires a registry-driven iteration that loads the reviewer registry, tracks active reviewers, and loops through feedback in the correct order until all comments are resolved or escalated.

Cross-session recovery for code review loops works by reading persisted tracking comments and recovering reviewer state after scheduled wakeups. This ensures the review cycle resumes without losing progress on GitHub pull requests.

Yes, safe merge gating prevents infinite loops by enforcing caps, recurrence detection, and clean-review checks. The workflow stops instead of spinning forever when review cycles exceed configured limits.

Yes, this Skill supports paginated comment retrieval to handle large pull requests. It fetches reviewer comments across multiple pages and persists reviewer state with threaded acknowledgements to keep review cycles auditable and bounded.

This coordination is limited to GitHub-based sprint, epic, and phase PRs. It requires automated comment bots, CLI subagent reviewers, and scheduled wakeups across multiple sessions to function properly within its bounded review cycle design.