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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.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/pydantic/pydantic-ai --skill address-feedback命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add tools/capabilities, defer capability loading, stream output, define agents from YAML, or test agent behavior.
Add a new provider API capability (prompt caching, strict/structured tool calling, thinking/reasoning effort, service tier, safety settings, logprobs, etc.) to Pydantic AI. Use when wiring a provider feature through the library — it enforces reasoning from the existing cross-provider abstraction before designing anything, and picking default-on vs opt-in deliberately. Not for adding a new model id (that's a different flow) or a bug fix.
What to do when you open a PR and every time you push — label the PR, run a local review, watch CI to green, triage every review comment to a reply and a reaction, and escalate genuine design trade-offs to maintainers. Use whenever you open a PR or push a commit to one.
正在显示 SKILL.md
基于 SOC 职业分类
| 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 Skip already-resolved and outdated threads.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.
