[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"category-skills-ko-productivity":3},{"items":4,"total":404,"page":405,"pageSize":406},[5,31,48,66,82,99,115,131,147,165,181,197,213,229,245,261,277,293,307,322,337,352,370,387],{"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},"coji-natural-japanese","coji\u002Fnatural-japanese","productivity","仕事の日本語を、読みやすくわかりやすく書く・直すための Agent Skill です。議事録・調査レポート・社内ガイド・リサーチメモ・スライド構成といった仕事の文書から、note・ブログ・エッセイまで扱います。","Productivity workflow","https:\u002F\u002Fgithub.com\u002Fcoji\u002Fnatural-japanese","https:\u002F\u002Fgithub.com\u002Fcoji\u002Fnatural-japanese\u002Farchive\u002FHEAD.zip","npx skillfish add coji\u002Fnatural-japanese",392,86,[],[18,19],"claude-desktop","cursor",[21,25],{"slug":18,"name":22,"summary":23,"count":24},"Claude Desktop","로컬 MCP 설정을 지원하는 데스크톱 클라이언트.",0,{"slug":19,"name":26,"summary":27,"count":24},"Cursor","개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.",[8],[],"2026-08-18T01:33:30.485913",{"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},"majiayu000-claude-skill-registry-data","majiayu000\u002Fclaude-skill-registry-data","This repo contains the (the heavy, browsable skill files).","https:\u002F\u002Fgithub.com\u002Fmajiayu000\u002Fclaude-skill-registry-data","https:\u002F\u002Fgithub.com\u002Fmajiayu000\u002Fclaude-skill-registry-data\u002Farchive\u002FHEAD.zip","npx skillfish add majiayu000\u002Fclaude-skill-registry-data",18,85,[],[18,19],[43,44],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-04T06:11:44.710987",{"slug":49,"name":50,"title":50,"skillCategorySlug":8,"summary":51,"description":52,"skillCategoryName":10,"sourceUrl":53,"downloadUrl":54,"cliCommand":55,"authorName":-1,"version":-1,"license":-1,"stars":56,"trendScore":57,"qualityScore":57,"recommendedTools":58,"recommendedToolNames":58,"supportedClients":59,"clients":60,"tags":63,"installHint":55,"useCases":64,"updatedAt":65},"ziguishian-xhs-visual-director-skill","ziguishian\u002Fxhs-visual-director-skill","这是一个用于规划小红书图文的 Agent Skill。它不是普通文案助手，而是一个“视觉导演”：先判断内容任务，再选择适合的视觉风格，最后输出完整图文结构、逐页视觉方案、图像生成提示词、发布文案和自检清单。","这是一个用于规划并生成小红书图文的 Agent Skill。它不是普通文案助手，而是一个“视觉导演”：先用苏格拉底提问法问 10 个问题，问清客户需求；再按用户要求给出多页图文规划和视觉规划；先生成 1 张样例图，用户确认后再生成整套最终图片，并附带图文结构、提示词记录、发布文案和自检清单。\n\n以下示例图用于展示本 Skill 默认偏好的小红书 3:4 封面方向：高级、清晰、手机端可读，避免廉价 AI 模板感。\n\n- 小红书图文创作者 - AI \u002F Vibe Coding \u002F Agent 内容创作者 - 个人品牌经营者 - 产品经理、设计师、创业者 - 想把草稿、截图、产品图、PPT 或页面重做成高级图文的人\n\n- 选题不知道适合什么视觉风格。 - 图文像 PPT，缺少小红书点击力。 - AI 生成图俗气、蓝紫渐变、文字不可读。 - 每页内容平均铺开，没有节奏。 - 封面不够抓人，内页没有收藏价值。 - 想把个人审美沉淀成可复用的视觉工作流。\n\n把本目录作为 Codex Skill 安装或引用后，向 Agent 输入选题、草稿、截图描述、产品图需求、参考风格或排版优化需求。Agent 会默认输出：\n\n1. 选题判断 2. 先用苏格拉底式提问法提出 10 个问题，问清客户需求 3. 用户回答后输出回答摘要与生成假设 4. 核心观点 5. 风格判断报告 6. 三套风格方案 7. 推荐方案 8. 6-8 页图文结构 9. 统一视觉母版 10. 1 张视觉确认图 11. 用户确认后生成整套最终图片 12. 逐页详细视觉规划和提示词记录 13. 小红书标题、正文、标签、评论引导 14. 自检清单\n\n如果你的 Codex Skill 管理方式要求一个目录内直接包含 SKILL.md，请把 xhs-visual-director-skill\u002Fskill\u002F 作为 Skill 目录使用；项目根目录的 docs\u002F、templates\u002F、examples\u002F 是维护和扩展资料。\n\n商业产业示例见 examples\u002Fexample_output_yiwu_plan.md。","https:\u002F\u002Fgithub.com\u002Fziguishian\u002Fxhs-visual-director-skill","https:\u002F\u002Fgithub.com\u002Fziguishian\u002Fxhs-visual-director-skill\u002Farchive\u002FHEAD.zip","npx skillfish add ziguishian\u002Fxhs-visual-director-skill",1012,75,[],[18,19],[61,62],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-30T08:28:54.833772",{"slug":67,"name":68,"title":68,"skillCategorySlug":8,"summary":69,"description":69,"skillCategoryName":10,"sourceUrl":70,"downloadUrl":71,"cliCommand":72,"authorName":-1,"version":-1,"license":-1,"stars":73,"trendScore":74,"qualityScore":74,"recommendedTools":75,"recommendedToolNames":75,"supportedClients":76,"clients":77,"tags":80,"installHint":72,"useCases":81,"updatedAt":47},"liyupi-yupi-skill","liyupi\u002Fyupi-skill","你想问 AI 编程学习路线，它给你一篇没有灵魂的教科书？ 你想让 AI 帮你看简历，它给你一堆正确但无用的废话？ 你想问要不要接这个 offer，它给你 \"需要综合考虑多方面因素\"？ 你想知道 AI 时代该学什么，它给你一个面面俱到但毫无主见的清单？","https:\u002F\u002Fgithub.com\u002Fliyupi\u002Fyupi-skill","https:\u002F\u002Fgithub.com\u002Fliyupi\u002Fyupi-skill\u002Farchive\u002FHEAD.zip","npx skillfish add liyupi\u002Fyupi-skill",403,72,[],[18,19],[78,79],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],{"slug":83,"name":84,"title":84,"skillCategorySlug":8,"summary":85,"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},"lingxling-awesome-skills-cn","lingxling\u002Fawesome-skills-cn","SKILL 是一种模块化、自包含的扩展包，通过提供专业的领域知识、工作流程和工具来增强 AI 的能力。你可以将它们视为特定领域或任务的\"入职指南\"——它们将通用 AI 助手转变为具备程序化知识的专业助手。","https:\u002F\u002Fgithub.com\u002Flingxling\u002Fawesome-skills-cn","https:\u002F\u002Fgithub.com\u002Flingxling\u002Fawesome-skills-cn\u002Farchive\u002FHEAD.zip","npx skillfish add lingxling\u002Fawesome-skills-cn",235,71,[],[18,19],[94,95],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-09T03:36:39.640861",{"slug":100,"name":101,"title":101,"skillCategorySlug":8,"summary":102,"description":102,"skillCategoryName":10,"sourceUrl":103,"downloadUrl":104,"cliCommand":105,"authorName":-1,"version":-1,"license":-1,"stars":106,"trendScore":90,"qualityScore":90,"recommendedTools":107,"recommendedToolNames":107,"supportedClients":108,"clients":109,"tags":112,"installHint":105,"useCases":113,"updatedAt":114},"gtmagents-gtm-agents","gtmagents\u002Fgtm-agents","You're spending too much time on repetitive tasks:","https:\u002F\u002Fgithub.com\u002Fgtmagents\u002Fgtm-agents","https:\u002F\u002Fgithub.com\u002Fgtmagents\u002Fgtm-agents\u002Farchive\u002FHEAD.zip","npx skillfish add gtmagents\u002Fgtm-agents",367,[],[18,19],[110,111],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-07T01:39:34.768768",{"slug":116,"name":117,"title":117,"skillCategorySlug":8,"summary":118,"description":118,"skillCategoryName":10,"sourceUrl":119,"downloadUrl":120,"cliCommand":121,"authorName":-1,"version":-1,"license":-1,"stars":122,"trendScore":90,"qualityScore":90,"recommendedTools":123,"recommendedToolNames":123,"supportedClients":124,"clients":125,"tags":128,"installHint":121,"useCases":129,"updatedAt":130},"intel-systemc-compiler","intel\u002Fsystemc-compiler","*\\Other names and brands may be claimed as the property of others.","https:\u002F\u002Fgithub.com\u002Fintel\u002Fsystemc-compiler","https:\u002F\u002Fgithub.com\u002Fintel\u002Fsystemc-compiler\u002Farchive\u002FHEAD.zip","npx skillfish add intel\u002Fsystemc-compiler",316,[],[18,19],[126,127],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-17T03:59:16.52272",{"slug":132,"name":133,"title":133,"skillCategorySlug":8,"summary":134,"description":134,"skillCategoryName":10,"sourceUrl":135,"downloadUrl":136,"cliCommand":137,"authorName":-1,"version":-1,"license":-1,"stars":138,"trendScore":90,"qualityScore":90,"recommendedTools":139,"recommendedToolNames":139,"supportedClients":140,"clients":141,"tags":144,"installHint":137,"useCases":145,"updatedAt":146},"wanyichen06-llminternskill","wanyichen06\u002Fllminternskill","一个面向大模型实习、AI 求职和 Codex Skill 工作流的 evidence-bound resume toolkit：不只是把简历写好听，而是让每一行都能扛住面试追问。","https:\u002F\u002Fgithub.com\u002Fwanyichen06\u002Fllminternskill","https:\u002F\u002Fgithub.com\u002Fwanyichen06\u002Fllminternskill\u002Farchive\u002FHEAD.zip","npx skillfish add wanyichen06\u002Fllminternskill",265,[],[18,19],[142,143],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-10T04:10:01.517675",{"slug":148,"name":149,"title":149,"skillCategorySlug":8,"summary":150,"description":151,"skillCategoryName":10,"sourceUrl":152,"downloadUrl":153,"cliCommand":154,"authorName":-1,"version":-1,"license":-1,"stars":155,"trendScore":156,"qualityScore":156,"recommendedTools":157,"recommendedToolNames":157,"supportedClients":158,"clients":159,"tags":162,"installHint":154,"useCases":163,"updatedAt":164},"explosivecoderflome-ani-book-skill","explosivecoderflome\u002Fani-book-skill","面向 Codex 的长篇中文小说生产 Skill：以可恢复的 Markdown 工作流贯通灵感、规划、章节写作、审校与连续性管理。","用 Codex 把灵感、章节、连续性和跨书设定沉淀成一套可持续推进的小说生产系统。\n\n是面向 Codex 的长篇中文小说生产系统：从模糊灵感开始，逐步形成故事发动机、卷与章节计划、稳定正文、连续性状态，以及可跨书复用的资产和共享 IP 正史。\n\n它解决的不是“再写一段”，而是长篇最容易失控的三件事：每章为何值得读、几十章后事实如何不漂移、同一宇宙下多本书如何安全复用和审查设定。\n\nSkill 定义过程合同；仓库里的 Python 只做确定性状态、校验、索引、冲突检测和导出。本项目不是 AI-Novel-Writing-Assistant 的运行时或子模块，不接入模型 Provider SDK、Web API、数据库权威、队列或自研 Agent Runtime；可见的 provider\u002Fmodel 信息仅用于 Codex 宿主实际暴露时的 Token 诊断。\n\n维护本项目时，Skill 功能表面的修改只有在编译、完整测试和 Skill 校验通过后，才会自动同步到本机安装的 produce-long-form-novel Skill；同步完成后会再次检查一致性，并保留安装目录中的镜像专属文件。\n\n如果你是第一次写长篇，只需从灵感开始；如果你在维护一个系列或共享宇宙，可以从已有工作区和资产库继续。系统始终给出一个可恢复的下一步，而不是要求你手动拼接提示词和上下文。\n\n这不是“生成一段，再生成一段”的线性对话，而是一个每章都会校准、积累并恢复的创作闭环：\n\n不并行拼接同一章，不让未验收候选进入事实，也不把整本书塞入下一次上下文；定稿后才允许提炼为跨书资产或共享宇宙事件候选。","https:\u002F\u002Fgithub.com\u002Fexplosivecoderflome\u002Fani-book-skill","https:\u002F\u002Fgithub.com\u002Fexplosivecoderflome\u002Fani-book-skill\u002Farchive\u002FHEAD.zip","npx skillfish add explosivecoderflome\u002Fani-book-skill",77,70,[],[18,19],[160,161],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-09-13T02:56:23.136215",{"slug":166,"name":167,"title":167,"skillCategorySlug":8,"summary":168,"description":168,"skillCategoryName":10,"sourceUrl":169,"downloadUrl":170,"cliCommand":171,"authorName":-1,"version":-1,"license":-1,"stars":172,"trendScore":156,"qualityScore":156,"recommendedTools":173,"recommendedToolNames":173,"supportedClients":174,"clients":175,"tags":178,"installHint":171,"useCases":179,"updatedAt":180},"baikemark-happy-figure-skill","baikemark\u002Fhappy-figure-skill","把论文、图注、开题材料、研究方案和参考图，编译成可复制、可校对、可控的 AI 科研绘图 prompt。","https:\u002F\u002Fgithub.com\u002Fbaikemark\u002Fhappy-figure-skill","https:\u002F\u002Fgithub.com\u002Fbaikemark\u002Fhappy-figure-skill\u002Farchive\u002FHEAD.zip","npx skillfish add baikemark\u002Fhappy-figure-skill",111,[],[18,19],[176,177],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-19T06:09:06.210657",{"slug":182,"name":183,"title":183,"skillCategorySlug":8,"summary":184,"description":184,"skillCategoryName":10,"sourceUrl":185,"downloadUrl":186,"cliCommand":187,"authorName":-1,"version":-1,"license":-1,"stars":188,"trendScore":156,"qualityScore":156,"recommendedTools":189,"recommendedToolNames":189,"supportedClients":190,"clients":191,"tags":194,"installHint":187,"useCases":195,"updatedAt":196},"ganzoth-zotero-taxonomy-curator","ganzoth\u002Fzotero-taxonomy-curator","Zotero Taxonomy Curator is a domain-configurable workflow for turning Zotero metadata, PDFs, annotations, highlights, and manual tags into structured Obsidian literature notes with a controlled...","https:\u002F\u002Fgithub.com\u002Fganzoth\u002Fzotero-taxonomy-curator","https:\u002F\u002Fgithub.com\u002Fganzoth\u002Fzotero-taxonomy-curator\u002Farchive\u002FHEAD.zip","npx skillfish add ganzoth\u002Fzotero-taxonomy-curator",147,[],[18,19],[192,193],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-21T02:48:33.562704",{"slug":198,"name":199,"title":199,"skillCategorySlug":8,"summary":200,"description":200,"skillCategoryName":10,"sourceUrl":201,"downloadUrl":202,"cliCommand":203,"authorName":-1,"version":-1,"license":-1,"stars":204,"trendScore":156,"qualityScore":156,"recommendedTools":205,"recommendedToolNames":205,"supportedClients":206,"clients":207,"tags":210,"installHint":203,"useCases":211,"updatedAt":212},"sablin39-tilelang-cuda-skills","sablin39\u002Ftilelang-cuda-skills","Agent skills for GPU kernel development — writing, debugging, profiling, and optimizing CUDA and TileLang GPU kernels.","https:\u002F\u002Fgithub.com\u002Fsablin39\u002Ftilelang-cuda-skills","https:\u002F\u002Fgithub.com\u002Fsablin39\u002Ftilelang-cuda-skills\u002Farchive\u002FHEAD.zip","npx skillfish add sablin39\u002Ftilelang-cuda-skills",133,[],[18,19],[208,209],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-22T00:56:48.527003",{"slug":214,"name":215,"title":215,"skillCategorySlug":8,"summary":216,"description":216,"skillCategoryName":10,"sourceUrl":217,"downloadUrl":218,"cliCommand":219,"authorName":-1,"version":-1,"license":-1,"stars":220,"trendScore":156,"qualityScore":156,"recommendedTools":221,"recommendedToolNames":221,"supportedClients":222,"clients":223,"tags":226,"installHint":219,"useCases":227,"updatedAt":228},"liangjfblue-writer-dna","liangjfblue\u002Fwriter-dna","从你的原始素材中蒸馏出个人写作风格，生成专属于你的 AI 写作 Skill。支持任何写作类型——公众号、小说、公文、学术、文案等。","https:\u002F\u002Fgithub.com\u002Fliangjfblue\u002Fwriter-dna","https:\u002F\u002Fgithub.com\u002Fliangjfblue\u002Fwriter-dna\u002Farchive\u002FHEAD.zip","npx skillfish add liangjfblue\u002Fwriter-dna",94,[],[18,19],[224,225],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-24T02:15:45.257197",{"slug":230,"name":231,"title":231,"skillCategorySlug":8,"summary":232,"description":232,"skillCategoryName":10,"sourceUrl":233,"downloadUrl":234,"cliCommand":235,"authorName":-1,"version":-1,"license":-1,"stars":236,"trendScore":156,"qualityScore":156,"recommendedTools":237,"recommendedToolNames":237,"supportedClients":238,"clients":239,"tags":242,"installHint":235,"useCases":243,"updatedAt":244},"zhouwei713-fpv-immersive-video-prompting","zhouwei713\u002Ffpv-immersive-video-prompting","它不只帮你写“电影感、浅景深、光影高级”。 它会先设计镜头是谁，从哪里出发，按什么顺序经过哪些人，怎么绕过障碍物，最后停在哪里。","https:\u002F\u002Fgithub.com\u002Fzhouwei713\u002Ffpv-immersive-video-prompting","https:\u002F\u002Fgithub.com\u002Fzhouwei713\u002Ffpv-immersive-video-prompting\u002Farchive\u002FHEAD.zip","npx skillfish add zhouwei713\u002Ffpv-immersive-video-prompting",88,[],[18,19],[240,241],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-27T02:05:01.244567",{"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":156,"qualityScore":156,"recommendedTools":254,"recommendedToolNames":254,"supportedClients":255,"clients":256,"tags":259,"installHint":252,"useCases":260,"updatedAt":164},"owenliang-llm-wiki","owenliang\u002Fllm-wiki","The implementation of karpathy\u002Fllm-wiki.md","本项目是一个基于 LLM 的智能知识库管理系统，结合 Qoder Agent、Obsidian 和 QMD 语义检索工具，实现知识的自动沉淀与高效检索。\n\nLLM Wiki 是一种增量式知识库构建模式，与传统 RAG 不同，它会**一个结构化的、相互关联的 markdown 文件集合，知识是累积的而非每次都重新检索。\n\nSkill 文件位置：.qoder\u002Fskills\u002Fllm-wiki\u002FSKILL.md\n\n- ：将原始内容保存到 raw\u002Farticles\u002F，自动分析并更新 wiki - ：基于 wiki 内容回答用户问题 - ：扫描所有页面，检查矛盾、过时声明、孤立页面等\n\n示例： - \u002Fllm-wiki https:\u002F\u002Fqwen.ai\u002Fblog?id=qwen3.6 - \u002Fllm-wiki https:\u002F\u002Fgithub.com\u002Fuser\u002Frepo\u002Fblob\u002Fmain\u002Fdocs\u002Fguide.md\n\n示例： - \u002Fllm-wiki 搜索Agent平台 - \u002Fllm-wiki Agent平台有哪些 - \u002Fllm-wiki CoPaw和OpenClaw的区别\n\n（不使用命令前缀）： - \"添加这篇文章\" + 文章内容 → 自动分析并沉淀到 wiki - \"查询知识库\" + 问题 → 基于 wiki 内容回答 - \"检查 wiki\" 或 \"lint\" → 执行健康检查\n\n3. （可选但推荐） - 设置 → 核心插件 → 启用以下插件： - 图谱（Graph view） - 反向链接（Backlinks） - 出链（Outgoing links）","https:\u002F\u002Fgithub.com\u002Fowenliang\u002Fllm-wiki","https:\u002F\u002Fgithub.com\u002Fowenliang\u002Fllm-wiki\u002Farchive\u002FHEAD.zip","npx skillfish add owenliang\u002Fllm-wiki",73,[],[18,19],[257,258],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],{"slug":262,"name":263,"title":263,"skillCategorySlug":8,"summary":264,"description":264,"skillCategoryName":10,"sourceUrl":265,"downloadUrl":266,"cliCommand":267,"authorName":-1,"version":-1,"license":-1,"stars":268,"trendScore":156,"qualityScore":156,"recommendedTools":269,"recommendedToolNames":269,"supportedClients":270,"clients":271,"tags":274,"installHint":267,"useCases":275,"updatedAt":276},"tencentcloudbase-tcb-demo-basic","tencentcloudbase\u002Ftcb-demo-basic","微信内的云开发体验入口：演示小程序场景下的云开发能力，并引导使用 AI 工具链。","https:\u002F\u002Fgithub.com\u002Ftencentcloudbase\u002Ftcb-demo-basic","https:\u002F\u002Fgithub.com\u002Ftencentcloudbase\u002Ftcb-demo-basic\u002Farchive\u002FHEAD.zip","npx skillfish add tencentcloudbase\u002Ftcb-demo-basic",171,[],[18,19],[272,273],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-12T03:15:24.183377",{"slug":278,"name":279,"title":279,"skillCategorySlug":8,"summary":280,"description":280,"skillCategoryName":10,"sourceUrl":281,"downloadUrl":282,"cliCommand":283,"authorName":-1,"version":-1,"license":-1,"stars":284,"trendScore":156,"qualityScore":156,"recommendedTools":285,"recommendedToolNames":285,"supportedClients":286,"clients":287,"tags":290,"installHint":283,"useCases":291,"updatedAt":292},"imfangli-mediastorm-copywriter","imfangli\u002Fmediastorm-copywriter","基于对影视飓风最新 19 条视频口播字幕的结构化分析,提炼出其开头钩子、分点主体、 数据+类比、自然的合作方植入、金句升华与固定 CTA 结尾等规律,让 AI 能按同样的 \"配方\"产出完整口播稿。","https:\u002F\u002Fgithub.com\u002Fimfangli\u002Fmediastorm-copywriter","https:\u002F\u002Fgithub.com\u002Fimfangli\u002Fmediastorm-copywriter\u002Farchive\u002FHEAD.zip","npx skillfish add imfangli\u002Fmediastorm-copywriter",92,[],[18,19],[288,289],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-28T02:35:30.478922",{"slug":294,"name":295,"title":295,"skillCategorySlug":8,"summary":296,"description":296,"skillCategoryName":10,"sourceUrl":297,"downloadUrl":298,"cliCommand":299,"authorName":-1,"version":-1,"license":-1,"stars":220,"trendScore":156,"qualityScore":156,"recommendedTools":300,"recommendedToolNames":300,"supportedClients":301,"clients":302,"tags":305,"installHint":299,"useCases":306,"updatedAt":228},"dkyazzentwatwa-chatgpt-skills","dkyazzentwatwa\u002Fchatgpt-skills","A reduced, higher-signal library of agent skills for ChatGPT. The repo now favors fewer, broader skills with real deterministic tooling over a long tail of thin utility wrappers.","https:\u002F\u002Fgithub.com\u002Fdkyazzentwatwa\u002Fchatgpt-skills","https:\u002F\u002Fgithub.com\u002Fdkyazzentwatwa\u002Fchatgpt-skills\u002Farchive\u002FHEAD.zip","npx skillfish add dkyazzentwatwa\u002Fchatgpt-skills",[],[18,19],[303,304],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],{"slug":308,"name":309,"title":309,"skillCategorySlug":8,"summary":310,"description":310,"skillCategoryName":10,"sourceUrl":311,"downloadUrl":312,"cliCommand":313,"authorName":-1,"version":-1,"license":-1,"stars":314,"trendScore":156,"qualityScore":156,"recommendedTools":315,"recommendedToolNames":315,"supportedClients":316,"clients":317,"tags":320,"installHint":313,"useCases":321,"updatedAt":196},"benjiyaya-minimax-h3-prompt-agentskill","benjiyaya\u002Fminimax-h3-prompt-agentskill","A Hermes Agent skill that transforms rough video ideas + reference images\u002Faudio into production-grade video generation prompts.","https:\u002F\u002Fgithub.com\u002Fbenjiyaya\u002Fminimax-h3-prompt-agentskill","https:\u002F\u002Fgithub.com\u002Fbenjiyaya\u002Fminimax-h3-prompt-agentskill\u002Farchive\u002FHEAD.zip","npx skillfish add benjiyaya\u002Fminimax-h3-prompt-agentskill",108,[],[18,19],[318,319],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],{"slug":323,"name":324,"title":324,"skillCategorySlug":8,"summary":325,"description":325,"skillCategoryName":10,"sourceUrl":326,"downloadUrl":327,"cliCommand":328,"authorName":-1,"version":-1,"license":-1,"stars":329,"trendScore":156,"qualityScore":156,"recommendedTools":330,"recommendedToolNames":330,"supportedClients":331,"clients":332,"tags":335,"installHint":328,"useCases":336,"updatedAt":292},"learnprompt-afu-llm-todo","learnprompt\u002Fafu-llm-todo","LLM Todo for Obsidian agents Inbox -> Wiki -> Todo Card -> Calendar","https:\u002F\u002Fgithub.com\u002Flearnprompt\u002Fafu-llm-todo","https:\u002F\u002Fgithub.com\u002Flearnprompt\u002Fafu-llm-todo\u002Farchive\u002FHEAD.zip","npx skillfish add learnprompt\u002Fafu-llm-todo",84,[],[18,19],[333,334],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],{"slug":338,"name":339,"title":339,"skillCategorySlug":8,"summary":340,"description":340,"skillCategoryName":10,"sourceUrl":341,"downloadUrl":342,"cliCommand":343,"authorName":-1,"version":-1,"license":-1,"stars":344,"trendScore":156,"qualityScore":156,"recommendedTools":345,"recommendedToolNames":345,"supportedClients":346,"clients":347,"tags":350,"installHint":343,"useCases":351,"updatedAt":212},"leoriczhang-teamevolver","leoriczhang\u002Fteamevolver","teamEvolver 位于 Agent 运行时之外，负责团队能力的持续进化与治理。它接收真实 Session 和领域资料，提取可追溯 Evidence，生成 Skill Candidate 或 Memory Change，再经过静态检查、True Replay、人工门禁、版本发布和受控分发形成闭环。","https:\u002F\u002Fgithub.com\u002Fleoriczhang\u002Fteamevolver","https:\u002F\u002Fgithub.com\u002Fleoriczhang\u002Fteamevolver\u002Farchive\u002FHEAD.zip","npx skillfish add leoriczhang\u002Fteamevolver",102,[],[18,19],[348,349],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],{"slug":353,"name":354,"title":354,"skillCategorySlug":8,"summary":355,"description":356,"skillCategoryName":10,"sourceUrl":357,"downloadUrl":358,"cliCommand":359,"authorName":-1,"version":-1,"license":-1,"stars":360,"trendScore":361,"qualityScore":361,"recommendedTools":362,"recommendedToolNames":362,"supportedClients":363,"clients":364,"tags":367,"installHint":359,"useCases":368,"updatedAt":369},"marker-inc-korea-autorag","marker-inc-korea\u002Fautorag","AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.","This repository now hosts , a complete reimagining of AutoRAG as a self-evolving librarian agent. The original Python-based AutoRAG — the RAG AutoML tool for automatically finding an optimal RAG pipeline for your data — now lives in the legacy\u002F directory of this repository. It continues to be maintained (bug fixes, dependency updates, and PyPI releases via pip install AutoRAG) in maintenance mode. Existing users can keep using it exactly as before — see the legacy README for its documentation, and file issues in this repository as usual. New feature development is focused on AutoRAG 2.0.\n\nAutoRAG searches your PDFs, wikis, notes, research papers, and knowledge bases — then curates the results into clean, numbered knowledge units. No raw grep dumps. Just answers.\n\nAutoRAG is a customized Pi agent — the Pi agent loop configured into a librarian. The AutoRAG librarian retrieves candidates, reads source files directly, judges the evidence, and curates the structured answer.","https:\u002F\u002Fgithub.com\u002Fmarker-inc-korea\u002Fautorag","https:\u002F\u002Fgithub.com\u002Fmarker-inc-korea\u002Fautorag\u002Farchive\u002FHEAD.zip","npx skillfish add marker-inc-korea\u002Fautorag",5056,60,[],[18,19],[365,366],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-31T02:20:40.851168",{"slug":371,"name":372,"title":372,"skillCategorySlug":8,"summary":373,"description":373,"skillCategoryName":10,"sourceUrl":374,"downloadUrl":375,"cliCommand":376,"authorName":-1,"version":-1,"license":-1,"stars":377,"trendScore":378,"qualityScore":378,"recommendedTools":379,"recommendedToolNames":379,"supportedClients":380,"clients":381,"tags":384,"installHint":376,"useCases":385,"updatedAt":386},"cowork-os-cowork-os","cowork-os\u002Fcowork-os","CoWork OS is the GUI-first, CLI-capable local AI super app and everything app for getting real work done.","https:\u002F\u002Fgithub.com\u002Fcowork-os\u002Fcowork-os","https:\u002F\u002Fgithub.com\u002Fcowork-os\u002Fcowork-os\u002Farchive\u002FHEAD.zip","npx skillfish add cowork-os\u002Fcowork-os",434,57,[],[18,19],[382,383],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-18T01:40:31.939948",{"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":395,"qualityScore":395,"recommendedTools":396,"recommendedToolNames":396,"supportedClients":397,"clients":398,"tags":401,"installHint":393,"useCases":402,"updatedAt":403},"xiaolai-nlpm","xiaolai\u002Fnlpm","Natural-Language Programming Manager — score, check, fix, and test NL artifacts across . Tier-aware scoring with per-tool overlays.","https:\u002F\u002Fgithub.com\u002Fxiaolai\u002Fnlpm","https:\u002F\u002Fgithub.com\u002Fxiaolai\u002Fnlpm\u002Farchive\u002FHEAD.zip","npx skillfish add xiaolai\u002Fnlpm",122,55,[],[18,19],[399,400],{"slug":18,"name":22,"summary":23,"count":24},{"slug":19,"name":26,"summary":27,"count":24},[8],[],"2026-08-16T02:57:24.251744",95,1,24]