审查 PR
- 运行 验证器 子代理。如果其结果为 FAIL，则停止并报告必须修复的内容。不要审查有缺陷的工作。
- 针对
REVIEW.md运行 评审器 子代理。 - 编写
work/<feature>/review.md，包含验证器结果、按严重程度分类的所有发现，以及评审器为人类提供的一行摘要。 - 使用该摘要作为描述打开或更新拉取请求，并链接
intent.md、spec.md和plan.md。 - 停止。告知人类拉取请求已准备好供他们审查。切勿批准或合并。
在当前分支上运行评审站。调用验证器，然后调用评审子代理，并为人编写一份发现摘要。当变更准备好进行审查时使用。
该技能自动化了代码审查流程，特别适用于基于 AI 代理的开发工作流。它首先运行“验证器”子代理来检查当前分支上的变更是否有效（例如，构建通过、测试通过）；如果验证失败，它会立即停止并报告需要修复的内容，从而防止审查未完成的工作。如果验证通过，它会调用“评审器”子代理，根据项目的审查指南（例如 `REVIEW.md`）生成一份详细的代码审查报告。技能会将这些发现（包含严重程度分类）以及评审摘要写入 `work/<feature>/review.md` 文件，然后用该摘要更新或创建拉取请求，同时引用相关的意图、规范和规划文档。最后，它会通知人类开发者拉取请求已准备好进行人工审查，但绝不会自动批准或合并。此技能适用于任何支持子代理架构的 AI 代理平台，能够确保一致且高质量的代码审查。
npx skills add https://github.com/jintomjose/mini-software-factory/tree/HEAD/.claude/skills/review-prInstalled? Explore more 写作与编辑 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
REVIEW.md 运行 评审器 子代理。work/<feature>/review.md，包含验证器结果、按严重程度分类的所有发现，以及评审器为人类提供的一行摘要。intent.md、spec.md 和 plan.md。This repo contains 2 individual skills — each has its own dedicated page.
Turn a rough idea, a user complaint or an incident into a committed intent.md by interviewing the person who has the problem. Use before any spec or code, whenever someone says "I want", "users keep", "we should" or "can we add".
Turn a committed intent.md into spec.md (requirements and design in one artifact), with policy concerns and open decisions flagged inline. Use after capture-intent and before plan mode.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors