VibeCoding 总结绘话上下文，全自动书写：把 AI 编程会话写成可发布文章
这个 Skill 把 AI 编程会话整理成可发布的技术博客或营销文章，覆盖会话总结、博客导出、vibe coding 体验分享与复盘、推广文案四类输出，支持中英双语。它是社区来源的 content-creation 类 Skill，坐标 @user_8442eada/jeason2，版本 1.0.0，标签显示 requires_api_key=false，无需额外 API Key。文章说明了它解决的痛点、已核实的核心能力、典型触发意图，以及适用场景与限制。需要留意的是，写作时官方页面无法访问，安装命令与配置字段未能核实，文中未给出推测性命令，落地前需打开官方页面确认。
Read More文档协作撰写工作流：用三阶段 Skill 写规格与决策文档
文档协作撰写工作流（@org-02qudk26/doc-coauthoring）是智雨科技在 SkillHub 发布的内容创作类 Agent Skill，版本 1.0.0，无需 API Key。它将提案、技术规格、决策文档等写作拆为上下文收集、按章节头脑风暴与迭代打磨、以及读者测试三阶段，引导 Agent 用脚手架与增量编辑产出可读文稿。文章说明触发条件、各阶段要点，以及 skillhub install 与 Cursor 等客户端 skills 目录的安装方式。
Read More内容研究写作助手：把大纲、引用与逐段反馈收进一条 Skill 流程
介绍 SkillHub 社区 Skill「内容研究写作助手」（@user_24e9cdd5/content-research-writer，1.0.0）。它把大纲协作、查资料加引用、强化开头钩子、逐段反馈、保留作者声音、引用管理与终稿审阅串成一条流程，适用于博客、教程、技术文档与 newsletter 等。文章说明无需 API Key，并给出 SkillHub CLI 安装及按 Agent 指定 skills 目录的安装方式，以及官方列出的自然语言触发示例。
Read MoreAudit the documentation against Vercel writing guidelines using writing-guidelines
This is an introduction to Vercel Labs' Agent Skill "writing-guidelines": it reviews the tone, structure, readability and typesetting of documents and prose in accordance with the Vercel Writing Guidelines. The following details are covered: its attribution and version, the mechanism of pulling the remote `command.md` before each review, the coverage of over 80 rules, the `file:line` output format, as well as the installation and triggering methods using `npx skills add` in tools such as Cursor, Claude Code and Codex, plus notes including network dependencies and Vercel site-specific conventions.
Read More# doc-coauthoring: Use a three-stage structured workflow to let Agents help you write clear technical specifications and decision documents
Doc-coauthoring is a documentation co-creation Skill in Anthropic's official Skills repository, targeting structured writing scenarios such as technical specifications, decision documents, RFCs, and PRDs. Instead of generating a full article at one time, it guides the Agent through three phases: context collection, section-by-section polishing, and reader testing. It first supplements background information through meta-questions and information dumping, then conducts brainstorming, screening, drafting and iterative revision by chapter, and finally uses a context-free Claude to simulate reader questions to identify blind spots in the document. This article introduces its core capabilities, installation methods in Cursor and Claude Code, as well as typical interaction examples and applicable boundaries for writing decision docs.
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