What problem does it solve?
Collects and consolidates scattered automated and human review feedback from a pull request so developers can quickly see what must be fixed versus what is optional, avoiding fragmented follow-ups and missed CI failures.
Core Features & Use Cases
- PR discovery: Locates the pull request for the current branch or accepts a user-provided PR number or URL.
- CI and checks aggregation: Retrieves CI/check statuses and groups passed, failed, and pending checks for decision-making.
- Feedback consolidation and classification: Gathers inline comments, issue comments, and review decisions, classifies feedback into must-fix, suggested, and ignorable items, and detects AI-originated reviews (e.g., Gemini, AI Code Review).
- Interactive remediation flow: Presents a prioritized checklist to the user, runs lint/typecheck and quality skills, generates a structured commit message, and optionally posts replies to reviewers.
- Use case: After pushing a feature branch, run this to synthesize CI failures, automated AI reviews, and human reviewer comments into an actionable repair plan.
Quick Start
Ask the skill to gather and summarize all review feedback and CI status for the current branch PR, present a prioritized list of fixes, and run selected fixes locally.