Documentation & Writing for Claude Code

Produce a proposed marked-up policy redraft that closes a gap found by /regulatory-legal:gaps or /regulatory-legal:policy-diff. A first draft for internal review — not for direct application to approved policy documents. Use when the user says "redraft the policy", "draft the policy fix", "mark up the policy", or when gap-surfacer hands off a gap for drafting.

First-pass privilege log review — make the obvious privilege calls and flag the hard ones for attorney review without making close calls. Use when the user says "review the privilege log", "priv log", "check privilege on these docs", or has a log to QA before production.

> Translates a contract review into a summary the business stakeholder will actually read. Not a legal memo — a two-minute answer to "can I sign this and what do I need to know." Use when user says "summarize for the business", "write this up for [stakeholder]", "explain this to procurement", "non-legal summary", or when a review is done and needs to go to someone outside legal.

> Tabular review — one row per document, one column per data point, every cell cited to source. Built for M&A diligence ("review these 200 target contracts for change-of-control, assignment, and MAC clauses") but works for any batch review that needs a spreadsheet out the other end. Use when user says "tabular review", "review grid", "build a grid", "extract these fields from these contracts", "review these documents for X, Y, Z", "give me a spreadsheet of", "batch review", or points at a folder

三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim — including checking logical consistency, evidence chains, source reliability, fabrication, non-quantifiable conclusions, and producing a scored report with original-text citations.

> 给定一篇文章的 URL 或全文内容，深度阅读消化后，以更高屋建瓴的视角创作一篇全新文章： 提取核心观点+基石假设，找逻辑漏洞或用第一性原理重构假设，续写新内容，最终输出图文并茂的 Markdown 文章。 触发条件：用户提供文章链接或粘贴文章内容，并说"帮我改写"、"写一篇更高层次的文章"、"找逻辑漏洞"、 "重构观点"、"消化后重写"、"升华这篇文章"、"基于这篇文章写一篇新的"，或用户说"这篇文章有什么问题/ 漏洞/不足"并希望输出新文章时，必须使用本 skill。即使用户只说"帮我把这篇文章写得更好"或"这篇文章太 浅了，帮我深化一下"，也应使用本 skill。

Write Chinese Markdown articles for university students and adults with social experience that explain one viewpoint, axiom, theorem, law, principle, or theory system through "求真讲法、求存讲法、思考", with text/Mermaid and standalone GitHub-renderable SVG files, assumptions, derivation or motivation, applicability boundaries, positive and negative examples, and save the result under the current project's markdown directory. Use when Codex is asked to generate 公理讲解文案、定理讲解、理论体系通俗解读、观点拆解、面向大学生和成年人的图文并茂 Markd

Write Chinese "数据库筑基课" Markdown articles for database architects, DBAs, and application developers. Use when the user provides a database foundation article title and references such as technical docs, product manuals, open-source repositories, DeepWiki pages, papers, source code, or related blog posts, and wants a rigorous, SVG-rich, practice-oriented GitHub-renderable Markdown article saved as a .md file.

抓取并汇总"数据库、AI、GitHub、AI 论文"近 1 周新闻，输出图文并茂（含 mermaid 图）的 markdown 周报到当前项目的 markdown/ 目录。覆盖 10 个数据源：postgresweekly.com/issues（自动解析最新 issue 编号）、planet.postgresql.org、planet.postgis.net、postgresql.org/about/newsarchive/、git.postgresql.org shortlog、duckdb.org/news/、aibase.com/zh、ai-bot.cn/daily-ai-news、github.com/trending?since=weekly、huggingface.co/papers/trending。适用于：用户提出"生成周报"、"本周数据库+AI+GitHub+论文快讯"、"跑一次 db-ai-weekly"、"weekly news"等需求。

编写"数据库筑基课"文章的专用 Skill，面向数据库架构师、DBA 和业务开发者。输入一个筑基课文章标题及相关参考资料（技术文档、产品手册、开源项目地址、deepwiki、论文等），输出图文并茂、结构完整的 Markdown 筑基课文章，保存至项目 markdown/ 目录。适用主题覆盖：表存储结构（heap/parquet/arrow/zedstore/LSM-Tree/HStore等）、索引结构（btree/gin/brin/hnsw/ivfflat/bloom等）、数据类型与操作符（vector/jsonb/tsvector/range/array等）、优化器扫描算法（seq scan/index scan/bitmap scan/join/agg/并行等）、场景化实践（时序/GIS/RAG/全文检索/图数据/数据湖等）以及事务/锁/并发/安全等周边主题。只要用户提及"筑基课"、"数据库原理"、"数据库内核"写作，或给出了数据库存储/索引/扫描相关的技术文档让你写成教程，都应使用此 Skill。

Portable digital employee distilled from digoal's personal blog for PostgreSQL, PolarDB, DuckDB, AI+database, vector/RAG, database operations, source-code reading, technical content creation, open-source community strategy, and "德说" style strategic analysis. Use when asked to answer as 德哥/digoal, mine a local digoal/blog checkout for database expertise, write or review PostgreSQL/AI database articles, design database solutions, troubleshoot PG/PolarDB problems, interpret commits or papers for DB

以 digoal/德哥 的第一人称口吻重写一篇文章。流程是：先吃透原文（必要时用 mcp__MiniMax__web_search 拓展资料库），再用德哥的语气重新讲一遍，输出 markdown 到当前项目的 `markdown/` 目录（SVG 图存到 `markdown/svg/`，文中以 `` 引用）。风格有活人感，不要套用标准写作框架；匹配原文挑文体（随想/知识分享/深度洞察/吃瓜/大事件/吐槽）；开头必须有钩子（惊讶/惊喜/反直觉）；句子短，一行一句，适合口播；最多 3 段，能 1 段搞定就 1 段。类比时优先用数据库、AI、PG 内核、向量搜索、RAG、PG 运维这些德哥熟悉的领域。适用于：用德哥风格重写一篇公众号文章 / 把一份英文 paper/digest/blog 改写成中文公众号体 / 用德哥第一人称讲一件行业大事 / 让德哥吐槽某个产品或观点。

Generate a source-backed, shareable Chinese Markdown reading note from a Douban book URL. Use when the user provides a Douban book link and asks for 读书笔记, book notes, book summary, reading reflection, 图文并茂笔记, or a Markdown article that combines book metadata, high-quality external research, the author's argument, evidence, logic, assumptions, insights, transferability, and personal reflection saved under the current project's markdown directory.

解读用户粘贴的 GitHub 每周 Trending 或开源项目榜单内容，基于用户提供的候选项目、项目 README、GitHub 项目页和 DeepWiki 生成适合公众号发布的 Markdown 文章，并输出到当前项目 markdown 目录。用于 GitHub 周榜解读、每周开源热点、热门开源项目分析、公众号开源项目推荐。

Read a provided URL, local file, or pasted article, digest its core claims and assumptions, rebuild the topic into a concise original source-backed Chinese Markdown article, and save it under the current project's markdown directory. Use when the user asks to upgrade, elevate, rewrite, extend, deconstruct, critique, refine, or produce a higher-order article from an existing article or URL, especially when the desired output should preserve the source insight but feel like a clean standalone arti

Analyze an open-source project from a repository URL and write a deeply sourced Chinese Markdown article. Use when the user asks to research a GitHub/open-source project, read its README, use DeepWiki MCP for architecture analysis, search related articles, compare competitors, validate claims, and save the final article under the current project's markdown directory.

Answer open-source product questions by combining local source-code and documentation research, project framework notes generated by init, DeepWiki repository knowledge, and current web evidence, then save a sourced, diagram-rich Markdown answer to the current project's markdown directory. Use when the user asks about behavior, architecture, internals, configuration, APIs, troubleshooting, performance, operations, extension points, practical reproduction, or version-specific details of one or mo

深度解读学术论文，将论文 PDF（文件或 URL）转化为通俗易懂、图文并茂的 Markdown 解读文档，保存到项目的 markdown/ 目录。触发条件：用户上传或提供论文 PDF、提到"解读论文"/"读论文"/"分析这篇论文"/"帮我看这篇 paper"，或任何需要深入理解一篇学术论文的场景。即使用户只说"帮我看这个 PDF"但内容是论文，也应使用本 skill。输出文件包含：论文定位、知识地图、5W1H精读、术语词典、批判性评估五大板块，并在关键位置插入 mermaid/svg/text 图表辅助理解。

Answer PostgreSQL core database questions by researching the local postgres source tree, PostgreSQL documentation under doc/src/sgml, relevant source code, and DeepWiki repository knowledge for postgres/postgres; use when the user asks any PostgreSQL database behavior, internals, SQL, configuration, administration, performance, storage, planner, executor, replication, or documentation question and wants a sourced Markdown answer saved to the current project's markdown directory. Refuse questions

Analyze PostgreSQL git commit history between two commit ids and, when valuable DBA/application-developer changes exist, write a Chinese Markdown article for WeChat/公众号 readers with examples checked against SQL tests, docs, or relevant source. Use when the user is inside a PostgreSQL source checkout and provides two commit ids, asks to interpret Postgres commits, summarize a release/development window, identify DBA/application-developer value from commit logs, group related commits, exclude reve

将 PRD 翻译成「可独立测试」的功能设计文档。文档的下游使用者包括开发者、评审者、测试者,且三方互相隔离(测试者看不到开发者写的代码),所以必须把行为、状态、接口、数据、权限、异常、验收标准全部显式化,让测试者能独立从文档推导用例。输入是一份已写好的 PRD 文档,输出是一份完整的 Markdown 功能设计文档,保存到当前项目的 `markdown/` 目录。适用于:写功能设计文档、技术设计文档、Tech Design、详细设计说明书、FDD、Functional Design Doc、Detailed Design、模块设计文档、把 PRD 翻译成开发设计、把需求拆成可开发/可测试/可评审的规格。

编写产品评测报告的 skill。流程：询问被评测产品名、资料/链接、评测功能点、目标使用场景、竞品 → 网络核实最新状态 → 站在决策者（买不买）和使用者（好不好用）双视角 → 输出图文并茂的 markdown 评测报告到当前项目的 markdown/ 目录。报告包含：TL;DR、双视角结论、维度评分、竞品对比、选型决策树、实操指南、依据与参考。适用于"评测 XX 产品"、"对比 X 和 Y"、"XX 工具选型"等需求。

Write and save Chinese beginner-friendly paid manual subsections for "全品种操盘手册", a retail-investor education/subscription product covering the full 17-chapter + appendix outline from digoal's 2026-05-28 article. Use when the user provides a subsection title or asks to continue/complete the manual for 投资小白/散户, especially with triggers like 每次写一小节, 全品种操盘手册, 操盘手册, 知识付费, SVG图解, 第一性原理, markdown目录, 进度跟踪, or 散户金融工具.

给学生用其所在年级听得懂的语言通俗讲解题目，并生成举一反三练习。当用户给出年级 + 题目（文字或图片）希望得到讲解、辅导、"讲到孩子能听懂"、出同类练习题时使用。覆盖小学到高中的数学、物理、化学、语文、英语、生物等学科。输出为当前项目 markdown/ 目录下的两个 Markdown 文件：讲解文件与配套练习文件。

输入一个产品 idea（一句话或详细描述均可），自动生成图文并茂、结构完整的 BRD（商业需求文档），以 Markdown 格式保存到当前项目 markdown/ 目录，同时输出配套 SVG 图表文件。触发条件：用户提到"写 BRD"、"帮我写需求文档"、"生成 BRD"、"写商业需求文档"、"我有个产品想法"、"帮我把这个 idea 写成文档"、"PRD/BRD 模板"、"产品立项文档"。即使用户只给出一句简短的产品描述如"我想做一个 XX 产品"，也应立即使用本 skill 生成 BRD。本 skill 面向产品经理、创业者、产品负责人，输出可直接用于团队评审和立项决策的专业文档。

输入一个产品 idea（一句话或详细描述均可），自动生成图文并茂、结构完整的 PRD（产品需求文档），以 Markdown 格式保存到当前项目 markdown/ 目录，同时输出配套 SVG 图表文件。触发条件：用户提到"写 PRD"、"帮我写需求文档"、"生成 PRD"、"写产品需求文档"、"写商业需求文档"、"我有个产品想法"、"帮我把这个 idea 写成文档"、"PRD 模板"、"产品立项文档"、"产品需求"、"功能需求文档"。即使用户只给出一句简短的产品描述如"我想做一个 XX 产品"，也应立即使用本 skill 生成 PRD。本 skill 面向产品经理、创业者、产品负责人，输出可直接用于团队评审和立项决策的专业文档，深度整合 JTBD 用户洞察框架、MoSCoW 优先级方法论和北极星指标体系。

Generate a structured multi-layer test plan for FastLED changes targeting ESP32. Covers host unit tests, WASM compile checks, platform compile checks, and hardware validation. Use after defining an implementation contract, before writing any code.

FastLED Examples Agent Guidelines

Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local text files already in the repo.

Rewrites and polishes prose in Chinese or English, removes AI-like wording, and reviews product localization copy while preserving intent for drafts, docs, release notes, launch copy, and social posts. Use when users ask in any language to draft, rewrite, proofread, localize, polish release notes, remove AI-like wording, or prepare launch and social copy. Not for code comments, commit messages, or inline docs.

법원 전자소송 지급명령 신청을 위해 채권자·채무자·청구금액·청구원인·증빙 정보를 인터뷰하고, 신청서 초안과 공식 전자소송 브라우저 입력 handoff를 준비한다.

Use kordoc for agent-native HWP/HWPX document parsing, JSON extraction, diffing, form-field extraction, and Markdown→HWPX reverse conversion (read/convert only — for binary editing use rhwp-edit).

인터넷등기소(IROS)에서 법인/부동산 등기부등본(등기사항증명서) 발급을 준비하고, 사용자가 직접 로그인·결제한 브라우저 흐름 안에서 장바구니·열람·저장을 안전하게 보조한다.

Count Korean text deterministically with exact grapheme, line, and byte contracts for self-intros and form limits.

kimlawtech/korean-privacy-terms (Apache-2.0) 업스트림을 경유해 Next.js 프로젝트에 한국 법령(개인정보보호법·약관규제법·전자상거래법) 기반 개인정보처리방침·이용약관·쿠키 배너·동의 모달을 생성하는 thin wrapper 스킬.

Use curated Korean trending-slang candidates plus best-effort Namu Wiki lookups to write witty Korean text with up-to-date slang, with conservative safety and freshness guardrails.

Use Nara/PNU Korean spell-check surfaces conservatively to proofread Korean text, chunk long input, and return change-focused correction suggestions.

Debug HWP layout, dump document IR, compare versions, extract thumbnails, and unlock read-only HWPs with the upstream rhwp Rust CLI (export-svg/dump/dump-pages/ir-diff/thumbnail/convert).

Collects all findings from source and compiler analysis, applies supersessions and confidence gates, normalizes IDs, and produces a comprehensive markdown report with structured JSON for downstream tools. Supports dual-mode invocation: interim (findings.json only) and final (merge PoC results, produce final-report.md).

Smart contract development advisor based on Trail of Bits' best practices. Analyzes codebase to generate documentation/specifications, review architecture, check upgradeability patterns, assess implementation quality, identify pitfalls, review dependencies, and evaluate testing. Provides actionable recommendations.