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For each reviewer question on a PR, recall implementation reasoning and compose a raw answer. Use when the user asks to "answer reviewer questions", "draft answers to PR questions", or "explain reviewer questions".
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/tobihagemann/turbo --skill answer-reviewer-questions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。
正在显示 SKILL.md
| name | answer-reviewer-questions |
| description | For each reviewer question on a PR, recall implementation reasoning and compose a raw answer. Use when the user asks to "answer reviewer questions", "draft answers to PR questions", or "explain reviewer questions". |
For each reviewer question thread, recall the implementer's reasoning and compose a raw answer. The answers are plain text and feed into a downstream reply-drafting skill that applies voice rules and reply formatting.
Use the question threads from conversation context. Each thread has: thread id, file path, line (use originalLine when line is null), the reviewer's original comment, and the reconciled intent from $interpret-feedback.
If no question threads were provided, report that there are no questions to answer and stop.
For each thread:
$recall-reasoning skill with <path>:<line>. It returns either recalled reasoning from a past transcript, or a fallback derived from reading the commit diff and surrounding code.Output one block per thread:
**Thread <id>** (<path>:<line>)
<answer text>
_Grounding: derived from current code_
Include the _Grounding:_ line only when $recall-reasoning returned no transcript. Omit it when the answer is grounded in recalled reasoning.
Then call update_plan to mark this step completed and continue with the next step of the active workflow.
$github-voice or apply reply formatting. Downstream drafting applies voice rules when composing the actual reply.$recall-reasoning returned no transcript, still compose an answer from the current code and include the _Grounding:_ line so the downstream drafter knows the answer has weaker grounding.Survey the codebase for analogous features, reusable utilities, and existing patterns relevant to a proposed change, reading any source the task names outside this repo. Returns structured findings without writing code. Use when the user asks to "survey patterns", "find existing patterns", "look for analogous features", "check how similar things are done", "find prior art for this change", or needs pattern context before planning a change.
Survey the codebase for analogous features, reusable utilities, and existing patterns relevant to a proposed change, reading any source the task names outside this repo. Returns structured findings without writing code. Use when the user asks to "survey patterns", "find existing patterns", "look for analogous features", "check how similar things are done", "find prior art for this change", or needs pattern context before planning a change.
Critically assess external feedback (code reviews, AI reviewers, PR comments) and decide which suggestions to apply using adversarial verification. Use when the user asks to "evaluate findings", "assess review comments", "triage review feedback", "evaluate review output", or "filter false positives".
基于 SOC 职业分类
