[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"category-skills-ru-writing":3},{"items":4,"total":403,"page":404,"pageSize":405},[5,31,48,65,81,99,117,134,151,167,184,199,214,228,245,262,278,294,310,325,340,356,372,387],{"slug":6,"name":7,"title":7,"skillCategorySlug":8,"summary":9,"description":9,"skillCategoryName":10,"sourceUrl":11,"downloadUrl":12,"cliCommand":13,"authorName":-1,"version":-1,"license":-1,"stars":14,"trendScore":15,"qualityScore":15,"recommendedTools":16,"recommendedToolNames":16,"supportedClients":17,"clients":20,"tags":28,"installHint":13,"useCases":29,"updatedAt":30},"boom5426-nature-paper-skills","boom5426\u002Fnature-paper-skills","writing","从初稿搭建 · 结构修订 · 图文对齐 · 引用核验 · 投稿前预检 到 返修回复的全链路 journal-first · claim-driven · 证据边界优先","Writing","https:\u002F\u002Fgithub.com\u002Fboom5426\u002Fnature-paper-skills","https:\u002F\u002Fgithub.com\u002Fboom5426\u002Fnature-paper-skills\u002Farchive\u002FHEAD.zip","npx skillfish add boom5426\u002Fnature-paper-skills",415,72,[],[18,19],"claude-desktop","cursor",[21,25],{"slug":18,"name":22,"summary":23,"count":24},"Claude Desktop","Десктопный клиент с поддержкой локальной конфигурации MCP.",0,{"slug":19,"name":26,"summary":27,"count":24},"Cursor","AI-редактор кода, часто используемый с developer MCP.",[8],[],"2026-08-09T03:36:39.640861",{"slug":32,"name":33,"title":33,"skillCategorySlug":8,"summary":34,"description":34,"skillCategoryName":10,"sourceUrl":35,"downloadUrl":36,"cliCommand":37,"authorName":-1,"version":-1,"license":-1,"stars":38,"trendScore":39,"qualityScore":39,"recommendedTools":40,"recommendedToolNames":40,"supportedClients":41,"clients":42,"tags":45,"installHint":37,"useCases":46,"updatedAt":47},"rimagination-good-question","rimagination\u002Fgood-question","good-question 是一个帮助研究者梳理和打磨科研问题的 agent skill。","https:\u002F\u002Fgithub.com\u002Frimagination\u002Fgood-question","https:\u002F\u002Fgithub.com\u002Frimagination\u002Fgood-question\u002Farchive\u002FHEAD.zip","npx skillfish add rimagination\u002Fgood-question",271,71,[],[18,19],[43,44],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-15T01:43:30.802766",{"slug":49,"name":50,"title":50,"skillCategorySlug":8,"summary":51,"description":51,"skillCategoryName":10,"sourceUrl":52,"downloadUrl":53,"cliCommand":54,"authorName":-1,"version":-1,"license":-1,"stars":55,"trendScore":56,"qualityScore":56,"recommendedTools":57,"recommendedToolNames":57,"supportedClients":58,"clients":59,"tags":62,"installHint":54,"useCases":63,"updatedAt":64},"cyberj0605-cinematic-video-prompt-engineer-skill","cyberj0605\u002Fcinematic-video-prompt-engineer-skill","电影感视频提示词工程师：把剧情、小说片段和场景想法，转成可直接用于 AI 视频生成的电影感提示词。","https:\u002F\u002Fgithub.com\u002Fcyberj0605\u002Fcinematic-video-prompt-engineer-skill","https:\u002F\u002Fgithub.com\u002Fcyberj0605\u002Fcinematic-video-prompt-engineer-skill\u002Farchive\u002FHEAD.zip","npx skillfish add cyberj0605\u002Fcinematic-video-prompt-engineer-skill",94,70,[],[18,19],[60,61],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-24T02:15:45.257197",{"slug":66,"name":67,"title":67,"skillCategorySlug":8,"summary":68,"description":68,"skillCategoryName":10,"sourceUrl":69,"downloadUrl":70,"cliCommand":71,"authorName":-1,"version":-1,"license":-1,"stars":72,"trendScore":56,"qualityScore":56,"recommendedTools":73,"recommendedToolNames":73,"supportedClients":74,"clients":75,"tags":78,"installHint":71,"useCases":79,"updatedAt":80},"yuanchen-home-cumcm-step-review","yuanchen-home\u002Fcumcm-step-review","面向全国大学生数学建模竞赛（CUMCM）的完整建模论文分步审核工作流技能，兼容 Codex、Claude Code 等支持 Agent Skills 规范的 Agent。","https:\u002F\u002Fgithub.com\u002Fyuanchen-home\u002Fcumcm-step-review","https:\u002F\u002Fgithub.com\u002Fyuanchen-home\u002Fcumcm-step-review\u002Farchive\u002FHEAD.zip","npx skillfish add yuanchen-home\u002Fcumcm-step-review",82,[],[18,19],[76,77],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-29T04:46:51.046697",{"slug":82,"name":83,"title":83,"skillCategorySlug":8,"summary":84,"description":85,"skillCategoryName":10,"sourceUrl":86,"downloadUrl":87,"cliCommand":88,"authorName":-1,"version":-1,"license":-1,"stars":89,"trendScore":90,"qualityScore":90,"recommendedTools":91,"recommendedToolNames":91,"supportedClients":92,"clients":93,"tags":96,"installHint":88,"useCases":97,"updatedAt":98},"mrgediao-shuorenhua","mrgediao\u002Fshuorenhua","说人话｜中文优先的去 AI 味改写 skill：保事实、分场景、改完可直接发。Chinese-first rewrite skill for Codex \u002F Claude Code \u002F Cursor \u002F ChatGPT — removes AI tone, preserves facts.","说人话 是一个面向中文文本的改写 skill。主要用于清理 AI 起草内容中的模板套话、商业包装、工程师姿态腔、翻译腔和无依据的定性断言。适用于日常编写 README、Release Notes、工作同步、Issue 回复、论坛讨论及技术长文的开发者、维护者与写作者。\n\n核心逻辑是**：原文中的数字指标、版本编号、命令参数、文件路径、因果条件与责任归属一律保留，只剔除多余的渲染与空洞铺垫。支持接入 Claude Code、Codex、Cursor、ChatGPT 及各类自建 Agent。\n\n- ：使用 说人话 GPT（需 ChatGPT Plus \u002F Pro），粘贴文本即可改写。 - ：在对话中执行以下命令安装插件： 安装后输入「把这段去 AI 味」即可调用。手动安装及跟随更新说明见 install\u002Fclaude-code.md。 - ：克隆仓库后单次执行： - ： - ：若只需排查问题而不希望直接修改正文，可在指令中附加「按 annotation mode 只标注不改写」。\n\n更多接入方式（Cursor、Windsurf、OpenClaw 等）见安装方式。\n\n1. ：保留具体指标，不把「p95 延迟从 480ms 降至 160ms」粗暴概括为「明显优化」。 2. ：不把「展示了云原生潜力」擅自改写为「已采用云原生架构」。 3. ：条件、范围、否定、时态与强度均属于事实，不随语气一同删减。 4. ：原文若只有抽象定性（如「提升效率」），不擅自推测扩充为「节省开发时间」。 5. ：确保原文所有事实点在改写后均有对应，改写后的每个结论在原文均有出处。\n\n- ： 本次优化在性能方面取得了显著成效，有效改善了接口响应问题，p95 延迟从 480ms 降到 160ms，充分体现了团队持续优化的能力。 - ： 这次优化明显降低了接口延迟。(丢失了 p95、480ms 与 160ms 核心指标) - ： 这次优化把接口 p95 延迟从 480ms 降到 160ms。\n\n执行流程固定：识别文本场景 → 锁定事实片段（数字\u002F命令\u002F责任主体）→ 判断问题强度 → 优先处理句式与段落结构（短语表仅作兜底）→ 双向保真回读 → 残留审计。\n\n- structural：允许跨句合并、删除与重排结构，适用于短文或明确要求大修的文稿。","https:\u002F\u002Fgithub.com\u002Fmrgediao\u002Fshuorenhua","https:\u002F\u002Fgithub.com\u002Fmrgediao\u002Fshuorenhua\u002Farchive\u002FHEAD.zip","npx skillfish add mrgediao\u002Fshuorenhua",1378,61,[],[18,19],[94,95],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-09-03T04:35:44.486171",{"slug":100,"name":101,"title":101,"skillCategorySlug":8,"summary":102,"description":103,"skillCategoryName":10,"sourceUrl":104,"downloadUrl":105,"cliCommand":106,"authorName":-1,"version":-1,"license":-1,"stars":107,"trendScore":108,"qualityScore":108,"recommendedTools":109,"recommendedToolNames":109,"supportedClients":110,"clients":111,"tags":114,"installHint":106,"useCases":115,"updatedAt":116},"dimon94-skills","dimon94\u002Fskills","个人 agent skill 库 — skills\u002F 为唯一真相源，agent 目录经 symlink 消费","个人 agent skill 库。skills\u002F 是唯一真相源；本机 agent 目录里的条目全部是指向这里的 symlink。\n\n- AGENTS.md：本仓工作的总合同，各节用 repo:\u002F\u002F 指针连到专项文档。 - CONTEXT.md：统一语言与 canonical term。 - docs\u002Farchitecture\u002Fcurrent-system-map.md：L1 系统地图，skill 清单与所有权。 - docs\u002Fagents\u002F：工程标准（workflow、coding、architecture、quality、writing、debugging、branching 等）。 - docs\u002Fadr\u002F：难回退决定的 ADR，格式见 docs\u002Fadr\u002FREADME.md。 - docs\u002Fdeferred-hardening.md：延后加固清单，每次收口时更新。\n\n把 skills\u002F 下每个 skill 链接进 ~\u002F.agents\u002Fskills 和 ~\u002F.claude\u002Fskills。 新增或修改 skill 后直接改仓库文件即可，symlink 即时生效，无需重跑； 只有新增 skill 目录时才需要重跑一次。\n\n引用的第三方 skill（如 mattpocock\u002Fskills） 不复制进本仓库。它们以各自上游仓库 clone 为准，同样通过 symlink 接入 ~\u002F.agents\u002Fskills，跟进上游只需在对应 clone 里 git pull。","https:\u002F\u002Fgithub.com\u002Fdimon94\u002Fskills","https:\u002F\u002Fgithub.com\u002Fdimon94\u002Fskills\u002Farchive\u002FHEAD.zip","npx skillfish add dimon94\u002Fskills",109,45,[],[18,19],[112,113],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-09-10T03:23:40.120001",{"slug":118,"name":119,"title":119,"skillCategorySlug":8,"summary":120,"description":120,"skillCategoryName":10,"sourceUrl":121,"downloadUrl":122,"cliCommand":123,"authorName":-1,"version":-1,"license":-1,"stars":124,"trendScore":125,"qualityScore":125,"recommendedTools":126,"recommendedToolNames":126,"supportedClients":127,"clients":128,"tags":131,"installHint":123,"useCases":132,"updatedAt":133},"oubigfa-de-ai-prompt-enhancer-writer-booster-skill","oubigfa\u002Fde-ai-prompt-enhancer-writer-booster-skill","一套中文去 AI 味提示词，打包成 SKILL 格式，适用于 Claude Code、Cursor、Windsurf 等支持 SKILL 调用的工具。核心做的事情就两件：把 AI 生成的中文改得不像 AI 写的，以及复现一个真实作者的写作风格。","https:\u002F\u002Fgithub.com\u002Foubigfa\u002Fde-ai-prompt-enhancer-writer-booster-skill","https:\u002F\u002Fgithub.com\u002Foubigfa\u002Fde-ai-prompt-enhancer-writer-booster-skill\u002Farchive\u002FHEAD.zip","npx skillfish add oubigfa\u002Fde-ai-prompt-enhancer-writer-booster-skill",536,42,[],[18,19],[129,130],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-07-16T00:36:00.481088",{"slug":135,"name":136,"title":136,"skillCategorySlug":8,"summary":137,"description":137,"skillCategoryName":10,"sourceUrl":138,"downloadUrl":139,"cliCommand":140,"authorName":-1,"version":-1,"license":-1,"stars":141,"trendScore":142,"qualityScore":142,"recommendedTools":143,"recommendedToolNames":143,"supportedClients":144,"clients":145,"tags":148,"installHint":140,"useCases":149,"updatedAt":150},"orangeviolin-content-pipeline","orangeviolin\u002Fcontent-pipeline","One Skill turns Claude Code into a full content production pipeline.","https:\u002F\u002Fgithub.com\u002Forangeviolin\u002Fcontent-pipeline","https:\u002F\u002Fgithub.com\u002Forangeviolin\u002Fcontent-pipeline\u002Farchive\u002FHEAD.zip","npx skillfish add orangeviolin\u002Fcontent-pipeline",212,41,[],[18,19],[146,147],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-14T02:23:42.447203",{"slug":152,"name":153,"title":153,"skillCategorySlug":8,"summary":154,"description":154,"skillCategoryName":10,"sourceUrl":155,"downloadUrl":156,"cliCommand":157,"authorName":-1,"version":-1,"license":-1,"stars":158,"trendScore":142,"qualityScore":142,"recommendedTools":159,"recommendedToolNames":159,"supportedClients":160,"clients":161,"tags":164,"installHint":157,"useCases":165,"updatedAt":166},"yanzhanlin-ielts-claude-skills","yanzhanlin\u002Fielts-claude-skills","一套跑在 Claude Code 上的雅思备考 AI 教练 skill。 装上就能用。（V3.0完整版见页面最下方）","https:\u002F\u002Fgithub.com\u002Fyanzhanlin\u002Fielts-claude-skills","https:\u002F\u002Fgithub.com\u002Fyanzhanlin\u002Fielts-claude-skills\u002Farchive\u002FHEAD.zip","npx skillfish add yanzhanlin\u002Fielts-claude-skills",248,[],[18,19],[162,163],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-07-21T01:08:24.891796",{"slug":168,"name":169,"title":169,"skillCategorySlug":8,"summary":170,"description":170,"skillCategoryName":10,"sourceUrl":171,"downloadUrl":172,"cliCommand":173,"authorName":-1,"version":-1,"license":-1,"stars":174,"trendScore":175,"qualityScore":175,"recommendedTools":176,"recommendedToolNames":176,"supportedClients":177,"clients":178,"tags":181,"installHint":173,"useCases":182,"updatedAt":183},"artemnovitckii-content-skills","artemnovitckii\u002Fcontent-skills","Claude is a great writer in the abstract and a generic one by default — it hedges, it over-explains, it reaches for \"it's not just X, it's Y,\" and it never sounds like you.","https:\u002F\u002Fgithub.com\u002Fartemnovitckii\u002Fcontent-skills","https:\u002F\u002Fgithub.com\u002Fartemnovitckii\u002Fcontent-skills\u002Farchive\u002FHEAD.zip","npx skillfish add artemnovitckii\u002Fcontent-skills",89,40,[],[18,19],[179,180],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-26T01:16:19.126484",{"slug":185,"name":186,"title":186,"skillCategorySlug":8,"summary":187,"description":187,"skillCategoryName":10,"sourceUrl":188,"downloadUrl":189,"cliCommand":190,"authorName":-1,"version":-1,"license":-1,"stars":72,"trendScore":175,"qualityScore":175,"recommendedTools":191,"recommendedToolNames":191,"supportedClients":192,"clients":193,"tags":196,"installHint":190,"useCases":197,"updatedAt":198},"yuanzhao321-scientific-writing-zh","yuanzhao321\u002Fscientific-writing-zh","一个 Claude Code , 可直接使用的科研写作指导,覆盖写作、修改、评审与报告——。","https:\u002F\u002Fgithub.com\u002Fyuanzhao321\u002Fscientific-writing-zh","https:\u002F\u002Fgithub.com\u002Fyuanzhao321\u002Fscientific-writing-zh\u002Farchive\u002FHEAD.zip","npx skillfish add yuanzhao321\u002Fscientific-writing-zh",[],[18,19],[194,195],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-27T02:05:01.244567",{"slug":200,"name":201,"title":201,"skillCategorySlug":8,"summary":202,"description":202,"skillCategoryName":10,"sourceUrl":203,"downloadUrl":204,"cliCommand":205,"authorName":-1,"version":-1,"license":-1,"stars":206,"trendScore":175,"qualityScore":175,"recommendedTools":207,"recommendedToolNames":207,"supportedClients":208,"clients":209,"tags":212,"installHint":205,"useCases":213,"updatedAt":80},"adkid-zephyr-anti-defensive-writing-skill","adkid-zephyr\u002Fanti-defensive-writing-skill","很多人用 AI 改论文，改完越看越心虚：审稿人还没开口，自己先把「遗憾的是」「效果有限」「仍明显落后」写满了。结构是工作汇报式的，语言是自我审查式的——","https:\u002F\u002Fgithub.com\u002Fadkid-zephyr\u002Fanti-defensive-writing-skill","https:\u002F\u002Fgithub.com\u002Fadkid-zephyr\u002Fanti-defensive-writing-skill\u002Farchive\u002FHEAD.zip","npx skillfish add adkid-zephyr\u002Fanti-defensive-writing-skill",83,[],[18,19],[210,211],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],{"slug":215,"name":216,"title":216,"skillCategorySlug":8,"summary":217,"description":217,"skillCategoryName":10,"sourceUrl":218,"downloadUrl":219,"cliCommand":220,"authorName":-1,"version":-1,"license":-1,"stars":72,"trendScore":175,"qualityScore":175,"recommendedTools":221,"recommendedToolNames":221,"supportedClients":222,"clients":223,"tags":226,"installHint":220,"useCases":227,"updatedAt":80},"zhuangwenhui-codingskills","zhuangwenhui\u002Fcodingskills","Personal, reusable skills for AI coding assistants (Claude Code \u002F Codex). Each folder is a self-contained skill: a SKILL.","https:\u002F\u002Fgithub.com\u002Fzhuangwenhui\u002Fcodingskills","https:\u002F\u002Fgithub.com\u002Fzhuangwenhui\u002Fcodingskills\u002Farchive\u002FHEAD.zip","npx skillfish add zhuangwenhui\u002Fcodingskills",[],[18,19],[224,225],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],{"slug":229,"name":230,"title":230,"skillCategorySlug":8,"summary":231,"description":232,"skillCategoryName":10,"sourceUrl":233,"downloadUrl":234,"cliCommand":235,"authorName":-1,"version":-1,"license":-1,"stars":236,"trendScore":175,"qualityScore":175,"recommendedTools":237,"recommendedToolNames":237,"supportedClients":238,"clients":239,"tags":242,"installHint":235,"useCases":243,"updatedAt":244},"cat-geek-investment-master-mindset","cat-geek\u002Finvestment-master-mindset","投资大师.skill | 巴菲特 · 格雷厄姆 · 利弗莫尔 · 索罗斯 · 彼得林奇 · 西蒙斯 · 德曼 · 炒股养家","巴菲特用的是「护城河+安全边际」，格雷厄姆用的是「定量估值+定性验证」，利弗莫尔用的是「趋势跟随+关键点」，索罗斯用的是「反身性+动态预判」，彼得·林奇用的是「身边股+长期持有」，西蒙斯用的是「量化规律+模型迭代」，德曼用的是「模型局限+怀疑精神」，炒股养家用的是「情绪周期+龙头战法」。\n\n1. — 并行采集大师的著作、访谈、演讲、决策记录 2. — 提取心智模型（必须跨领域验证、有预测力、有排他性） 3. — 写入 SKILL.md：3-7个心智模型 + 决策启发式 + 表达DNA + 反模式 + 诚实边界 4. — 用大师公开回答过的问题测试，方向一致才通过\n\n💡 投资市场的钱，本质上是认知的变现。同样的K线图，10个人看到10种机会。 巴菲特看到的是企业价值，格雷厄姆看到的是价格与价值的差距，利弗莫尔看到的是趋势方向，索罗斯看到的是市场偏见。 学会用多种框架思考同一问题，是避免韭菜命运的第一步。\n\n安装或克隆后，在 Claude Code \u002F OpenClaw 等 Agent 工具中，直接说：\n\n- ：遇到投资困惑时，调用对应大师的框架思考 - ：同一问题，用不同大师的框架分析，对比差异 - ：模拟盘用大师框架操作，记录复盘","https:\u002F\u002Fgithub.com\u002Fcat-geek\u002Finvestment-master-mindset","https:\u002F\u002Fgithub.com\u002Fcat-geek\u002Finvestment-master-mindset\u002Farchive\u002FHEAD.zip","npx skillfish add cat-geek\u002Finvestment-master-mindset",80,[],[18,19],[240,241],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-09-11T01:32:58.044347",{"slug":246,"name":247,"title":247,"skillCategorySlug":8,"summary":248,"description":249,"skillCategoryName":10,"sourceUrl":250,"downloadUrl":251,"cliCommand":252,"authorName":-1,"version":-1,"license":-1,"stars":253,"trendScore":175,"qualityScore":175,"recommendedTools":254,"recommendedToolNames":254,"supportedClients":255,"clients":256,"tags":259,"installHint":252,"useCases":260,"updatedAt":261},"coffe-d-shenlun-skill","coffe-d\u002Fshenlun.skill","深度解析小马哥、白鹭、袁东三位老师的申论教学理念，整合出一套申论做题与智能批改的实用skill","融合半月谈白鹭、B站小马哥（小题）和袁东（大作文）三位名师方法论，以申论命题人和阅卷人视角严格评判作答，提供子项级逐句评分和改进建议。\n\n支持**：试卷照片、题目截图、手写作答照片可直接发送，模型原生识读，无须预先转写文字或外接读图工具。\n\n- ：每次批改把失分点按**归入使用者本地的 错题库\u002F - ：记的是\"B1-无统一句式\"这类可跨题比较的失分点类型，而不是\"某题漏了某个采分点\"——只有类型才能累积计数、看出复发模式 - ：🟡 初现（1 次）→ 🟠 复发（2 次）→ 🔴 顽固（≥3 次） - ：同一失分点类型再次出现时，；顽固项给** - ：问\"我老毛病是什么\"\"最近进步了吗\"，按顽固→复发→初现排序输出，并明确指出已改善的项 - 分类体系（8 维度 · 细粒度编号）见 references\u002Ferror-bank-rules.md；错题库\u002F 已 gitignore，\n\n- ：试卷照片、题目截图、材料扫描件、手写作答照片都可以直接发送，无须先转写成文字，也无须外接读图工具 - 图片识读规范：图片类型清点 → 结构化提取（题号\u002F分值\u002F字数\u002F题干\u002F材料）→ 模糊处标注自检 → 转写确认 → 无法识读时才降级 - ，识读时会主动向用户复核，读不准就标注 [图像模糊] 而不猜测 - 支持多图（多页试卷按页序拼接）、图文混合（冲突时以图片为准）、印刷体与手写体区分 - 兼容 DSH \u002F Claude Code \u002F Codex \u002F Cursor 等环境，只要所选模型支持图像输入即可\n\n- 提交内容后**，自动定位考试年份、试卷类型、题号、原题 - 匹配成功后以真实阅卷采分点为评分基准，跳过通用推断 - 每次批改后自动入库，真题库渐进式扩充（references\u002Freal-exams\u002F）\n\n- （含概括做法\u002F问题\u002F原因\u002F经验\u002F成效\u002F变化\u002F特点）：不写总括句，分条列要点，材料原词直抄 - （词句理解\u002F观点评析\u002F现象分析\u002F关系分析4子类）：总括句点题 + 分维度展开 + 回扣题干 - ：格式分+内容筛选（按文种目的取舍材料要点）+ 语言风格匹配 - 双视角参考作答：小马哥版（材料原词）+ 白鹭版（近义提炼轻串联） - 默认精简格式输出，按需展开详细评分\n\n- 袁东\"三类型\"主题判断（单主题\u002F双主题AB型\u002F双主题ABC型\u002F多主题） -...","https:\u002F\u002Fgithub.com\u002Fcoffe-d\u002Fshenlun.skill","https:\u002F\u002Fgithub.com\u002Fcoffe-d\u002Fshenlun.skill\u002Farchive\u002FHEAD.zip","npx skillfish add coffe-d\u002Fshenlun.skill",79,[],[18,19],[257,258],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-09-13T02:56:23.136215",{"slug":263,"name":264,"title":264,"skillCategorySlug":8,"summary":265,"description":266,"skillCategoryName":10,"sourceUrl":267,"downloadUrl":268,"cliCommand":269,"authorName":-1,"version":-1,"license":-1,"stars":15,"trendScore":175,"qualityScore":175,"recommendedTools":270,"recommendedToolNames":270,"supportedClients":271,"clients":272,"tags":275,"installHint":269,"useCases":276,"updatedAt":277},"yanhaoluo0-technical-proposal-expert-writing-skill","yanhaoluo0\u002Ftechnical-proposal-expert-writing-skill","Technical Proposal Expert 是一个专为政府和企业软件项目技术标书撰写而设计的 Claude Skill。该 Skill 将资深技术标书专家的经验与规范转化为可执行的 AI 助手能力，帮助用户撰写符合 GB\u002FT 8567-2006 标准的正式技术文档。","中文正式文档写作 skill：；其余文档走常规兜底。根目录 SKILL.md 是唯一入口，skill 内部把它当作强制指令集执行。\n\n写技术标书和设计报告时，最常见的质量问题是「泛泛而谈」：实现方案只有概念词（微服务、高可用、大数据），没有选型理由、机制细节、指标支撑。本 skill 用三件事解决这个问题：\n\n1. （knowledge\u002F）：按技术域组织的「技术卡片」，写作时按技术点\u002F指标关键词**，只读取命中章节，节省上下文 2. （写作目录下的 素材库\u002F）：把招标文件摘编、技术规范、历史标书等放进项目目录，写作时**，让内容贴合本项目实事；不设全局素材库，项目写完素材随项目保留或清理 3. ：每个关键技术点必须回答「解决什么问题 \u002F 为什么这么选 \u002F 关键机制与数据流 \u002F 工程化落地 \u002F 如何验证 \u002F 风险与降级」，禁止用修饰词堆砌替代实质内容\n\n再加上零分点（标书正文禁止分点）、禁词表、「待确认」不编造、交付前复核清单等约束，保证输出有格式、有深度、可核验。\n\n每种工具只装一份。旧的 software-engineering-docs 名称已废弃，请删除旧副本，避免列表中出现「两个 skill」。\n\n未自动加载时，在对话里说：使用 technical-proposal-expert 写【文档类型】。\n\n直接说要写的文档即可，例如「写技术标书」「出方案设计报告」「写测试报告」「写周报」。类型不明时会先问场景，再读对应 references\u002F。\n\n1. 在**下创建 素材库\u002F（本仓库的 素材库\u002F 只是模板与说明），放入希望参考的素材（，可建子目录）。建议放：招标文件摘编、技术规范、历史标书、架构说明、通用技术文档。 2. 生成索引（，自动扫描 skill 的 knowledge\u002F 与「当前工作目录的 素材库\u002F」）：","https:\u002F\u002Fgithub.com\u002Fyanhaoluo0\u002Ftechnical-proposal-expert-writing-skill","https:\u002F\u002Fgithub.com\u002Fyanhaoluo0\u002Ftechnical-proposal-expert-writing-skill\u002Farchive\u002FHEAD.zip","npx skillfish add yanhaoluo0\u002Ftechnical-proposal-expert-writing-skill",[],[18,19],[273,274],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-09-14T05:06:06.50776",{"slug":279,"name":280,"title":280,"skillCategorySlug":8,"summary":281,"description":281,"skillCategoryName":10,"sourceUrl":282,"downloadUrl":283,"cliCommand":284,"authorName":-1,"version":-1,"license":-1,"stars":285,"trendScore":175,"qualityScore":175,"recommendedTools":286,"recommendedToolNames":286,"supportedClients":287,"clients":288,"tags":291,"installHint":284,"useCases":292,"updatedAt":293},"gainubi-wechat-skills","gainubi\u002Fwechat-skills","这是一套帮你写公众号的 Skill，可以直接装到 OpenClaw 里用。当然，这套 Skill 不是让 AI 替我们写一些很水的文章，我开源的核心目的是希望让 AI 可以降低我们的写作门槛，同时，也把写作过程中的资产，能够固化为一个的Skill。","https:\u002F\u002Fgithub.com\u002Fgainubi\u002Fwechat-skills","https:\u002F\u002Fgithub.com\u002Fgainubi\u002Fwechat-skills\u002Farchive\u002FHEAD.zip","npx skillfish add gainubi\u002Fwechat-skills",146,[],[18,19],[289,290],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-07-23T01:54:13.08281",{"slug":295,"name":296,"title":296,"skillCategorySlug":8,"summary":297,"description":297,"skillCategoryName":10,"sourceUrl":298,"downloadUrl":299,"cliCommand":300,"authorName":-1,"version":-1,"license":-1,"stars":301,"trendScore":175,"qualityScore":175,"recommendedTools":302,"recommendedToolNames":302,"supportedClients":303,"clients":304,"tags":307,"installHint":300,"useCases":308,"updatedAt":309},"bergside-design-md-figma","bergside\u002Fdesign-md-figma","This Figma plugin extracts local styles and system signals from the current file and generates editable DESIGN.md and SKILL.","https:\u002F\u002Fgithub.com\u002Fbergside\u002Fdesign-md-figma","https:\u002F\u002Fgithub.com\u002Fbergside\u002Fdesign-md-figma\u002Farchive\u002FHEAD.zip","npx skillfish add bergside\u002Fdesign-md-figma",133,[],[18,19],[305,306],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-07-24T01:24:23.927575",{"slug":311,"name":312,"title":312,"skillCategorySlug":8,"summary":313,"description":313,"skillCategoryName":10,"sourceUrl":314,"downloadUrl":315,"cliCommand":316,"authorName":-1,"version":-1,"license":-1,"stars":107,"trendScore":175,"qualityScore":175,"recommendedTools":317,"recommendedToolNames":317,"supportedClients":318,"clients":319,"tags":322,"installHint":316,"useCases":323,"updatedAt":324},"agentchengfeng-writing-assistant-skill","agentchengfeng\u002Fwriting-assistant-skill","agentchengfeng\u002Fwriting-assistant-skill agent skill.","https:\u002F\u002Fgithub.com\u002Fagentchengfeng\u002Fwriting-assistant-skill","https:\u002F\u002Fgithub.com\u002Fagentchengfeng\u002Fwriting-assistant-skill\u002Farchive\u002FHEAD.zip","npx skillfish add agentchengfeng\u002Fwriting-assistant-skill",[],[18,19],[320,321],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-12T03:15:24.183377",{"slug":326,"name":327,"title":327,"skillCategorySlug":8,"summary":328,"description":328,"skillCategoryName":10,"sourceUrl":329,"downloadUrl":330,"cliCommand":331,"authorName":-1,"version":-1,"license":-1,"stars":332,"trendScore":175,"qualityScore":175,"recommendedTools":333,"recommendedToolNames":333,"supportedClients":334,"clients":335,"tags":338,"installHint":331,"useCases":339,"updatedAt":324},"sruthir28-enterprise-ai-skills","sruthir28\u002Fenterprise-ai-skills","Issue trees, decision memos, McKinsey-style charts, full deck pipelines — the stuff strategists, PMs, and ops leaders run anyway, now executable in one prompt.","https:\u002F\u002Fgithub.com\u002Fsruthir28\u002Fenterprise-ai-skills","https:\u002F\u002Fgithub.com\u002Fsruthir28\u002Fenterprise-ai-skills\u002Farchive\u002FHEAD.zip","npx skillfish add sruthir28\u002Fenterprise-ai-skills",123,[],[18,19],[336,337],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],{"slug":341,"name":342,"title":342,"skillCategorySlug":8,"summary":343,"description":343,"skillCategoryName":10,"sourceUrl":344,"downloadUrl":345,"cliCommand":346,"authorName":-1,"version":-1,"license":-1,"stars":347,"trendScore":175,"qualityScore":175,"recommendedTools":348,"recommendedToolNames":348,"supportedClients":349,"clients":350,"tags":353,"installHint":346,"useCases":354,"updatedAt":355},"liuxiangjian-ai-cet-skill","liuxiangjian-ai\u002Fcet-skill","CET Skill 是一个面向大学英语四、六级备考的 Skill。它基于 ，提炼写作、翻译、阅读、听力四大模块的题型结构、主题趋势、难度差异、干扰项逻辑和评分规则，并据此生成贴近真题风格的模拟训练。","https:\u002F\u002Fgithub.com\u002Fliuxiangjian-ai\u002Fcet-skill","https:\u002F\u002Fgithub.com\u002Fliuxiangjian-ai\u002Fcet-skill\u002Farchive\u002FHEAD.zip","npx skillfish add liuxiangjian-ai\u002Fcet-skill",115,[],[18,19],[351,352],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-13T02:48:00.634919",{"slug":357,"name":358,"title":358,"skillCategorySlug":8,"summary":359,"description":359,"skillCategoryName":10,"sourceUrl":360,"downloadUrl":361,"cliCommand":362,"authorName":-1,"version":-1,"license":-1,"stars":363,"trendScore":175,"qualityScore":175,"recommendedTools":364,"recommendedToolNames":364,"supportedClients":365,"clients":366,"tags":369,"installHint":362,"useCases":370,"updatedAt":371},"digidai-product-manager-skills","digidai\u002Fproduct-manager-skills","Turn Claude Code, Codex, Cursor, or Windsurf into a product manager that can critique PRDs, diagnose SaaS metrics, plan roadmaps, run discovery, and coach career moves.","https:\u002F\u002Fgithub.com\u002Fdigidai\u002Fproduct-manager-skills","https:\u002F\u002Fgithub.com\u002Fdigidai\u002Fproduct-manager-skills\u002Farchive\u002FHEAD.zip","npx skillfish add digidai\u002Fproduct-manager-skills",147,[],[18,19],[367,368],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-19T06:09:06.210657",{"slug":373,"name":374,"title":374,"skillCategorySlug":8,"summary":375,"description":375,"skillCategoryName":10,"sourceUrl":376,"downloadUrl":377,"cliCommand":378,"authorName":-1,"version":-1,"license":-1,"stars":379,"trendScore":175,"qualityScore":175,"recommendedTools":380,"recommendedToolNames":380,"supportedClients":381,"clients":382,"tags":385,"installHint":378,"useCases":386,"updatedAt":371},"baibanbao-x-made-easy-skill","baibanbao\u002Fx-made-easy-skill","一个中文写作 skill：仿 Silvanus P. Thompson《Calculus Made Easy》(1910) 的教学精神，把任意主题写成一本\"轻松学\"小书。","https:\u002F\u002Fgithub.com\u002Fbaibanbao\u002Fx-made-easy-skill","https:\u002F\u002Fgithub.com\u002Fbaibanbao\u002Fx-made-easy-skill\u002Farchive\u002FHEAD.zip","npx skillfish add baibanbao\u002Fx-made-easy-skill",167,[],[18,19],[383,384],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],{"slug":388,"name":389,"title":389,"skillCategorySlug":8,"summary":390,"description":390,"skillCategoryName":10,"sourceUrl":391,"downloadUrl":392,"cliCommand":393,"authorName":-1,"version":-1,"license":-1,"stars":394,"trendScore":175,"qualityScore":175,"recommendedTools":395,"recommendedToolNames":395,"supportedClients":396,"clients":397,"tags":400,"installHint":393,"useCases":401,"updatedAt":402},"199-biotechnologies-motion-dev-animations-skill","199-biotechnologies\u002Fmotion-dev-animations-skill","A Claude Code skill that generates 120fps GPU-accelerated animations using Motion.dev (the successor to Framer Motion).","https:\u002F\u002Fgithub.com\u002F199-biotechnologies\u002Fmotion-dev-animations-skill","https:\u002F\u002Fgithub.com\u002F199-biotechnologies\u002Fmotion-dev-animations-skill\u002Farchive\u002FHEAD.zip","npx skillfish add 199-biotechnologies\u002Fmotion-dev-animations-skill",90,[],[18,19],[398,399],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-25T01:24:25.188562",25,1,24]