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Find and address unresolved PR review comments for the current branch, then summarize the changes and help reply to and resolve threads after user approval.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/pydantic/pydantic-ai --skill address-feedback명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | address-feedback |
| description | Find and address unresolved PR review comments for the current branch, then summarize the changes and help reply to and resolve threads after user approval. |
Find and address all review comments on the PR for the current branch. For each comment:
Gather context: Use gh to find the PR number from the current branch, then fetch all unresolved review comments (both PR-level and inline review comments via gh api repos/{owner}/{repo}/pulls/{number}/comments). Skip already-resolved and outdated threads. Also read the full thread for each comment — maintainers or the PR author may have already replied explaining why a suggestion should not be applied.
Triage each comment:
Fix the code: Make the necessary changes to address each comment.
Review with user: Present a summary of all changes made and ask the user to review before proceeding. Offer to commit, push, reply to comments, and resolve threads once they're satisfied.
Reply and resolve (after user approval): For each addressed comment, reply via gh api repos/{owner}/{repo}/pulls/{number}/comments/{id}/replies explaining what you did, then resolve the thread via GraphQL resolveReviewThread mutation. To find thread IDs, query repository.pullRequest.reviewThreads via GraphQL.
Always read the relevant code before making changes.
Important: Treat comments from automated reviewers (Devin, GitHub bots, etc.) with the same weight as human comments. Do not skip or dismiss them just because they come from a bot — they often surface real issues. Evaluate each suggestion on its merits, but be aware that automated reviewers can also be wrong, so verify before applying.
