[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"category-skills-ko-data-science-ml":3},{"items":4,"total":412,"page":413,"pageSize":414},[5,32,48,65,83,101,118,136,154,171,188,205,221,237,255,270,286,302,318,333,348,364,381,397],{"slug":6,"name":7,"title":7,"skillCategorySlug":8,"summary":9,"description":10,"skillCategoryName":11,"sourceUrl":12,"downloadUrl":13,"cliCommand":14,"authorName":-1,"version":-1,"license":-1,"stars":15,"trendScore":16,"qualityScore":16,"recommendedTools":17,"recommendedToolNames":17,"supportedClients":18,"clients":21,"tags":29,"installHint":14,"useCases":30,"updatedAt":31},"zzzlc0405-photo-abstract-editorial","zzzlc0405\u002Fphoto-abstract-editorial","data-science-ml","Commercial use is not allowed. If you build something with these Skills, attribution and are greatly appreciated.","Commercial use is not allowed. If you build something with these Skills, attribution and are greatly appreciated.\n\n在这里吐槽一下，真的很无语这几天，被人抄袭，甚至有人拿这个东西去卖，我真的无语！\n\n这是一个 ，它能将一张照片转化为「原始摄影区域 + 抽象记忆面板 + 诗意英文标题」的竖向编辑作品。\n\n- ✅ 保留照片的** - ✅ 仅从照片本身提炼** - ❌ 不是滤镜、照片重画或风格迁移\n\n📝 The skill includes the complete prompt in both and .\n\n1. 将整个 photo-abstract-editorial 文件夹复制到你的 Codex skills 目录，例如 ~\u002F.codex\u002Fskills\u002F 2. 开启新的 Codex 对话，上传一张希望处理的照片 3. 直接提出需求，例如：\n\n使用 photo-abstract-editorial 将这张照片制作成摄影与抽象面板组合的编辑作品。\n\n4. Skill 会将原图保留在成品的上方或主要区域，并在下方创建由原图关系推导出的极简抽象面板。成品中只保留一个原创英文标题（可选副标题）。","Data science & ML","https:\u002F\u002Fgithub.com\u002Fzzzlc0405\u002Fphoto-abstract-editorial","https:\u002F\u002Fgithub.com\u002Fzzzlc0405\u002Fphoto-abstract-editorial\u002Farchive\u002FHEAD.zip","npx skillfish add zzzlc0405\u002Fphoto-abstract-editorial",5110,85,[],[19,20],"claude-desktop","cursor",[22,26],{"slug":19,"name":23,"summary":24,"count":25},"Claude Desktop","로컬 MCP 설정을 지원하는 데스크톱 클라이언트.",0,{"slug":20,"name":27,"summary":28,"count":25},"Cursor","개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.",[8],[],"2026-08-31T02:20:40.851168",{"slug":33,"name":34,"title":34,"skillCategorySlug":8,"summary":35,"description":35,"skillCategoryName":11,"sourceUrl":36,"downloadUrl":37,"cliCommand":38,"authorName":-1,"version":-1,"license":-1,"stars":39,"trendScore":16,"qualityScore":16,"recommendedTools":40,"recommendedToolNames":40,"supportedClients":41,"clients":42,"tags":45,"installHint":38,"useCases":46,"updatedAt":47},"astroautomata-pysr","astroautomata\u002Fpysr","PySR searches for symbolic expressions which optimize a particular objective.","https:\u002F\u002Fgithub.com\u002Fastroautomata\u002Fpysr","https:\u002F\u002Fgithub.com\u002Fastroautomata\u002Fpysr\u002Farchive\u002FHEAD.zip","npx skillfish add astroautomata\u002Fpysr",3645,[],[19,20],[43,44],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-07-25T02:58:30.068082",{"slug":49,"name":50,"title":50,"skillCategorySlug":8,"summary":51,"description":52,"skillCategoryName":11,"sourceUrl":53,"downloadUrl":54,"cliCommand":55,"authorName":-1,"version":-1,"license":-1,"stars":56,"trendScore":16,"qualityScore":16,"recommendedTools":57,"recommendedToolNames":57,"supportedClients":58,"clients":59,"tags":62,"installHint":55,"useCases":63,"updatedAt":64},"wechat-gggithub-chinese-ai-humanizer","wechat-gggithub\u002Fchinese-ai-humanizer","用最少的提示词，识别并去除中文 AI 写作痕迹。","一份针对中文写作的极简规则清单。把它交给 Agent，让 Agent 在写作或润色时识别并删掉常见的 AI 腔。\n\n安装后，Codex 会根据 SKILL.md 中的 description 自动匹配。直接提出类似请求即可：\n\n如果安装后没有立即出现，重启 Codex。更多说明见 Codex Skill 官方文档。\n\n复制 SKILL.md 的正文内容（不含开头的 YAML frontmatter），放入对应的指令文件：\n\n- Codex：单个项目使用项目根目录下的 AGENTS.md，全局使用 ~\u002F.codex\u002FAGENTS.md。 - Claude Code：单个项目使用项目根目录下的 CLAUDE.md，全局使用 ~\u002F.claude\u002FCLAUDE.md。\n\n如果已有指令文件，追加内容即可，不要覆盖原有规则。具体加载方式可查看 Codex AGENTS.md 官方文档 和 Claude Code 官方文档。\n\n提示词也有成本。规则越短，占用的 token 越少，也越容易维护。这个项目只保留能稳定复现、能直接改写的特征，用尽可能少的文字改善中文表达。\n\n这些规则用于减少常见的中文 AI 腔。项目不提供 AI 检测功能，也不保证绕过检测工具。","https:\u002F\u002Fgithub.com\u002Fwechat-gggithub\u002Fchinese-ai-humanizer","https:\u002F\u002Fgithub.com\u002Fwechat-gggithub\u002Fchinese-ai-humanizer\u002Farchive\u002FHEAD.zip","npx skillfish add wechat-gggithub\u002Fchinese-ai-humanizer",76,[],[19,20],[60,61],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-09-14T05:06:06.50776",{"slug":66,"name":67,"title":67,"skillCategorySlug":8,"summary":68,"description":69,"skillCategoryName":11,"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":82},"thananon-9arm-skills","thananon\u002F9arm-skills","Skills live under skills\u002F, grouped into buckets:","Skills live under skills\u002F, grouped into buckets:\n\n- engineering\u002F — daily code work - productivity\u002F — daily non-code workflow tools - misc\u002F — kept around but rarely used - personal\u002F — tied to my own setup, not promoted - in-progress\u002F — drafts not yet ready to ship - deprecated\u002F — no longer used\n\nEach skill is its own directory containing a SKILL.md (with YAML frontmatter — name and description) and any bundled scripts or reference files.\n\nFor my own dev loop — symlink every shippable skill into ~\u002F.claude\u002Fskills\u002F:\n\n- — Four-mantra debugging discipline: reproduce → trace the fail path → falsify the hypothesis → cross-reference every breadcrumb. Recites verbatim at session start, then applies in order before any fix. - — Write the canonical engineering record of a fixed bug — root cause, mechanism, fix, validation, how it slipped through. Engineer-audience; refuses to draft without a reliable repro, known cause, and validated fix.","https:\u002F\u002Fgithub.com\u002Fthananon\u002F9arm-skills","https:\u002F\u002Fgithub.com\u002Fthananon\u002F9arm-skills\u002Farchive\u002FHEAD.zip","npx skillfish add thananon\u002F9arm-skills",2946,84,[],[19,20],[78,79],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-30T08:29:06.179008",{"slug":84,"name":85,"title":85,"skillCategorySlug":8,"summary":86,"description":87,"skillCategoryName":11,"sourceUrl":88,"downloadUrl":89,"cliCommand":90,"authorName":-1,"version":-1,"license":-1,"stars":91,"trendScore":92,"qualityScore":92,"recommendedTools":93,"recommendedToolNames":93,"supportedClients":94,"clients":95,"tags":98,"installHint":90,"useCases":99,"updatedAt":100},"shengjidaguai-china-goutoujunshi","shengjidaguai-china\u002Fgoutoujunshi","一个先接住情绪、再分析关系并给出可执行策略的 Codex 恋爱军师，内置心理、法律、社会、人文、哲学、婚姻家庭与性学知识库，支持多元关系。","升级打怪开源社区 首批开放共建项目 · 点击组织首页右上角 Follow ，及时获取新项目与共建活动\n\n面向心动、暧昧、追求、冲突、分手与复合的 AI 恋爱军师， 结合情绪支持、关系科学、聊天记录分析和长期记忆，把复杂关系变成可执行的下一步。\n\n如果它能让你少一次内耗、多一次清醒，欢迎点亮一个 ⭐ Star ：方便以后回来，也帮助更多有同样困惑的人发现它。\n\n很多恋爱建议只有两个答案：“勇敢去追”或“赶紧分手”。狗头军师不会只凭一句话替你下结论：它先接住情绪，再把事实、推测和未知拆开；既看心动，也看现实条件、互惠、风险、机会成本和长期选择权，最后给出可以真正执行的下一步。\n\n它不只是一个话术库。它能读取聊天截图、导出文本和用户转述，区分素材来源与事实边界；也能把分析落到一句可发送的话、一次具体邀约、第一次见面安排或一段可复盘的对话演练。它是一套覆盖恋爱全周期、面向多元关系、能够解释建议理由的 Codex Skill。\n\n狗头军师支持异性恋、男同性恋、女同性恋、双性恋、泛性恋、无性恋等不同性取向，也尊重跨性别、非二元性别及其他性别身份。它同样可以讨论单身约会、长期伴侣、婚姻、异地、再婚、跨文化关系，以及建立在知情同意基础上的非单偶关系。\n\n系统不假设固定的性别角色：男女和多元性别用户都可以主动，任何人也都可以选择高主动模式。对于中国常见的男女性约会语境，系统可能在没有明确拒绝或不适时建议男性把主动度提高一级，但这只是可被个人偏好和现实反馈覆盖的文化校准，不是“男性必须追、女性只能等”的定律。判断依据始终是具体的人、具体行为、双方意愿和现实条件。\n\n项目将核心关系知识、实用沟通和工具适配分开维护，并按当前问题只加载必要资料。覆盖：","https:\u002F\u002Fgithub.com\u002Fshengjidaguai-china\u002Fgoutoujunshi","https:\u002F\u002Fgithub.com\u002Fshengjidaguai-china\u002Fgoutoujunshi\u002Farchive\u002FHEAD.zip","npx skillfish add shengjidaguai-china\u002Fgoutoujunshi",2751,83,[],[19,20],[96,97],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-09-04T00:56:44.659672",{"slug":102,"name":103,"title":103,"skillCategorySlug":8,"summary":104,"description":104,"skillCategoryName":11,"sourceUrl":105,"downloadUrl":106,"cliCommand":107,"authorName":-1,"version":-1,"license":-1,"stars":108,"trendScore":109,"qualityScore":109,"recommendedTools":110,"recommendedToolNames":110,"supportedClients":111,"clients":112,"tags":115,"installHint":107,"useCases":116,"updatedAt":117},"powerycy-goutoujunshi","powerycy\u002Fgoutoujunshi","如果它让你在感情里少一次内耗、多一次清醒，欢迎点亮一个🌟 。你的支持会让更多正在关系里犹豫的人找到它，也会推动知识库继续更新。","https:\u002F\u002Fgithub.com\u002Fpowerycy\u002Fgoutoujunshi","https:\u002F\u002Fgithub.com\u002Fpowerycy\u002Fgoutoujunshi\u002Farchive\u002FHEAD.zip","npx skillfish add powerycy\u002Fgoutoujunshi",1684,78,[],[19,20],[113,114],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-05T04:12:54.909383",{"slug":119,"name":120,"title":120,"skillCategorySlug":8,"summary":121,"description":122,"skillCategoryName":11,"sourceUrl":123,"downloadUrl":124,"cliCommand":125,"authorName":-1,"version":-1,"license":-1,"stars":126,"trendScore":127,"qualityScore":127,"recommendedTools":128,"recommendedToolNames":128,"supportedClients":129,"clients":130,"tags":133,"installHint":125,"useCases":134,"updatedAt":135},"aws-samples-aws-glue-samples","aws-samples\u002Faws-glue-samples","AWS Glue code samples","AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. This repository has samples that demonstrate various aspects of the AWS Glue service, as well as various AWS Glue utilities.\n\nYou can find the AWS Glue open-source Python libraries in a separate repository at: awslabs\u002Faws-glue-libs.\n\nHelps you get started using the many ETL capabilities of AWS Glue, and answers some of the more common questions people have.\n\nIn this comprehensive series, you'll learn everything from the basics of Glue to advanced optimization techniques.\n\nIntroduces the process of writing AWS Glue scripts.\n\n- Detect and process sensitive data using AWS Glue Studio\n\nGuides you to create an AWS Glue job that identifies sensitive data at the row level, and create a custom identification pattern to identify case-specific entities.","https:\u002F\u002Fgithub.com\u002Faws-samples\u002Faws-glue-samples","https:\u002F\u002Fgithub.com\u002Faws-samples\u002Faws-glue-samples\u002Farchive\u002FHEAD.zip","npx skillfish add aws-samples\u002Faws-glue-samples",1535,77,[],[19,20],[131,132],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-30T08:31:08.93552",{"slug":137,"name":138,"title":138,"skillCategorySlug":8,"summary":139,"description":140,"skillCategoryName":11,"sourceUrl":141,"downloadUrl":142,"cliCommand":143,"authorName":-1,"version":-1,"license":-1,"stars":144,"trendScore":145,"qualityScore":145,"recommendedTools":146,"recommendedToolNames":146,"supportedClients":147,"clients":148,"tags":151,"installHint":143,"useCases":152,"updatedAt":153},"lyra81604-zhengxi-views","lyra81604\u002Fzhengxi-views","可溯源的郑希(易方达基金经理)投研 Agent Skill——基于他全部公开观点原文 + 有原话佐证的投资方法 + 全市场基金真实数据，能溯源问答、按他框架给基金打分，绝不杜撰。⚠️仅研究学习辅助，不构成投资建议‼️website是郑希主页！","「查观点 · 学方法 · 做前瞻 · 仿口吻写点评 · 言行对照 · 全市场基金对比与评分 —— 让任意 AI 读懂易方达郑希」\n\n很多关于\"某基金经理怎么看 X\"的回答，听起来头头是道，其实是模型凭印象编的——查无此言。这个 skill 解决的就是这个问题：它的根基是**，任何结论都能追溯到\"哪一年、哪一篇、原话是什么\"。\n\n- 📚 （references\u002Fcorpus\u002F）——2012–2026 年郑希的全部公开观点：定期报告中的投资运作分析（季报 \u002F 中报 \u002F 年报）、基金经理手记、媒体采访报道，外加基金经理简介、在任 \u002F 曾任基金清单。 - 🧭 （references\u002Fmethod.md）——从上面的语料**出来的方法框架，。它让 skill 在语料没直接谈过的话题上，也能用郑希自己的方法去推演，而不是一句\"查无此言\"。 - 📊 （references\u002Ffund_data\u002F）——他全部 8 只基金（4 在任 + 4 曾任）的真实数据快照：每季前十大重仓股、净值\u002F业绩\u002F规模\u002F资产配置\u002F任职回报。再加上 references\u002Fall_funds\u002F 里**列表，可按需抓取任意基金做对比与评分。\n\n把腾讯 、zhengxi-views skill 和 接起来后，可以把它做成一个交易日自动化研究助手：在每个交易日按固定时间触发，自动读取市场行情、基金\u002F持仓数据、财报与产业新闻，再用郑希的方法框架生成结构化分析报告，并通过邮件 MCP 推送到指定邮箱。\n\n1. 在 WorkBuddy 里启用 zhengxi-views skill，并配置可调用的 MCP 连接器，例如行情\u002F资讯数据源、TDX 数据连接器、QQ 邮箱或企业邮箱连接器。 2. 建立交易日定时任务，例如工作日盘前、盘后或财报密集期定时执行。 3. 让任务按固定链路采集指数、ETF、个股\u002F基金、产业新闻、公司财报和郑希原文\u002F方法论材料。 4. 用 skill 的溯源约束和方法框架生成日报、财报解读、热点板块分析、持仓验证和郑希视角推演。 5. 将 HTML 或 Markdown 报告通过邮件 MCP 自动发送到自己或团队邮箱，沉淀为可复盘的交易日研究流水线。\n\n他在 **时把逻辑讲得很清楚： “全球 AI 资本开支已经来到万亿美元级别。AI 产业链中，数据传输是重要一环，而光通信则是远距离传输的关键路径。","https:\u002F\u002Fgithub.com\u002Flyra81604\u002Fzhengxi-views","https:\u002F\u002Fgithub.com\u002Flyra81604\u002Fzhengxi-views\u002Farchive\u002FHEAD.zip","npx skillfish add lyra81604\u002Fzhengxi-views",1183,75,[],[19,20],[149,150],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-30T08:28:13.83536",{"slug":155,"name":156,"title":156,"skillCategorySlug":8,"summary":157,"description":157,"skillCategoryName":11,"sourceUrl":158,"downloadUrl":159,"cliCommand":160,"authorName":-1,"version":-1,"license":-1,"stars":161,"trendScore":162,"qualityScore":162,"recommendedTools":163,"recommendedToolNames":163,"supportedClients":164,"clients":165,"tags":168,"installHint":160,"useCases":169,"updatedAt":170},"luwill-research-skills","luwill\u002Fresearch-skills","A collection of Claude Code skills for academic research workflows.","https:\u002F\u002Fgithub.com\u002Fluwill\u002Fresearch-skills","https:\u002F\u002Fgithub.com\u002Fluwill\u002Fresearch-skills\u002Farchive\u002FHEAD.zip","npx skillfish add luwill\u002Fresearch-skills",739,73,[],[19,20],[166,167],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-07-19T02:20:47.056511",{"slug":172,"name":173,"title":173,"skillCategorySlug":8,"summary":174,"description":174,"skillCategoryName":11,"sourceUrl":175,"downloadUrl":176,"cliCommand":177,"authorName":-1,"version":-1,"license":-1,"stars":178,"trendScore":179,"qualityScore":179,"recommendedTools":180,"recommendedToolNames":180,"supportedClients":181,"clients":182,"tags":185,"installHint":177,"useCases":186,"updatedAt":187},"dacnay816y62-hub-photo-revival","dacnay816y62-hub\u002Fphoto-revival","photo-revival 是一个 Codex Skill。它不是给照片套滤镜，而是把照片当成“记忆证据”：保留主体、空间关系和情绪，再用新的手绘插画语言重新生成。","https:\u002F\u002Fgithub.com\u002Fdacnay816y62-hub\u002Fphoto-revival","https:\u002F\u002Fgithub.com\u002Fdacnay816y62-hub\u002Fphoto-revival\u002Farchive\u002FHEAD.zip","npx skillfish add dacnay816y62-hub\u002Fphoto-revival",436,72,[],[19,20],[183,184],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-18T01:40:31.939948",{"slug":189,"name":190,"title":190,"skillCategorySlug":8,"summary":191,"description":192,"skillCategoryName":11,"sourceUrl":193,"downloadUrl":194,"cliCommand":195,"authorName":-1,"version":-1,"license":-1,"stars":196,"trendScore":179,"qualityScore":179,"recommendedTools":197,"recommendedToolNames":197,"supportedClients":198,"clients":199,"tags":202,"installHint":195,"useCases":203,"updatedAt":204},"pengjunchi0-codex-visio-paper-figure-skill","pengjunchi0\u002Fcodex-visio-paper-figure-skill","科研绘图skill、论文绘图skill、图片转visio等可编辑格式，将生成图转化为论文可编辑图，便于作者调整绘图细节","Codex 科研论文绘图 Skill 是一个面向科研论文配图工作流的 Codex Skill。它用于把参考图片、截图或生成图还原为 ，并从同一个 Visio 源文件导出 PNG、SVG、PDF、PPTX 等交付格式。\n\n核心目标是让 Codex 通过 Visio 原生形状、文本、连线、分组和样式重建论文配图、模型框架图、流程图和多面板科学图。\n\n注意！ 主要适用于模型图、架构图、流程图等。其余场景如指标图（或含真实数据结果的）最好使用脚本或让 Agent 提取数据后用脚本绘图。\n\n- 根据 PNG\u002FJPG\u002F截图重建 Visio 图。 - 将 AI 生成的论文模型图转成可编辑 .vsdx。 - 按参考图修改已有 Visio 文件的布局、配色、字体或模块结构。 - 对复杂多面板科学图进行结构化复刻。 - 检查 .vsdx 是否误用了整张参考图嵌入。 - 给 Visio 图统一论文风格字体、配色和线条规范。 - 从保存后的 .vsdx 导出 SVG、PDF、PPTX 或 PNG。 - 对复杂多面板图先做面板四角\u002F边界标定，减少子模块移位、串区和重叠。\n\n- 只需要把图片插入 Visio 页面。 - 只需要普通图片编辑、抠图或美化。 - 不要求 Visio 原生可编辑性的纯位图复刻。\n\n- Visio 原生矩形、圆形、线条、箭头、连接线。 - 可编辑文本。 - 可编辑分组。 - 原生近似绘制的小图表、热图、节点图、立方体、堆叠图。\n\n禁止用整张参考图作为最终页面内容来冒充还原。参考图只能作为临时描摹依据；最终文件中不应留下完整的大尺寸参考 PNG\u002FJPG。\n\n.vsdx 是可编辑母版。SVG\u002FPDF\u002FPPTX 是从这个母版导出的交付物，不应该单独重画出彼此不一致的版本。","https:\u002F\u002Fgithub.com\u002Fpengjunchi0\u002Fcodex-visio-paper-figure-skill","https:\u002F\u002Fgithub.com\u002Fpengjunchi0\u002Fcodex-visio-paper-figure-skill\u002Farchive\u002FHEAD.zip","npx skillfish add pengjunchi0\u002Fcodex-visio-paper-figure-skill",548,[],[19,20],[200,201],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-30T08:30:54.463408",{"slug":206,"name":207,"title":207,"skillCategorySlug":8,"summary":208,"description":208,"skillCategoryName":11,"sourceUrl":209,"downloadUrl":210,"cliCommand":211,"authorName":-1,"version":-1,"license":-1,"stars":212,"trendScore":179,"qualityScore":179,"recommendedTools":213,"recommendedToolNames":213,"supportedClients":214,"clients":215,"tags":218,"installHint":211,"useCases":219,"updatedAt":220},"binggandata-bggg-skills","binggandata\u002Fbggg-skills","bggg-skills 是 BGGG 开源的 Codex Skills 集合仓库。","https:\u002F\u002Fgithub.com\u002Fbinggandata\u002Fbggg-skills","https:\u002F\u002Fgithub.com\u002Fbinggandata\u002Fbggg-skills\u002Farchive\u002FHEAD.zip","npx skillfish add binggandata\u002Fbggg-skills",540,[],[19,20],[216,217],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-07-17T02:03:04.343968",{"slug":222,"name":223,"title":223,"skillCategorySlug":8,"summary":224,"description":224,"skillCategoryName":11,"sourceUrl":225,"downloadUrl":226,"cliCommand":227,"authorName":-1,"version":-1,"license":-1,"stars":228,"trendScore":179,"qualityScore":179,"recommendedTools":229,"recommendedToolNames":229,"supportedClients":230,"clients":231,"tags":234,"installHint":227,"useCases":235,"updatedAt":236},"mengke-wang-xiaohongshu-ai-workbench","mengke-wang\u002Fxiaohongshu-ai-workbench","作者：王梦珂 Mengke｜好事发生 App 开发者｜好事引力创始人｜畅销书《爆款》作者","https:\u002F\u002Fgithub.com\u002Fmengke-wang\u002Fxiaohongshu-ai-workbench","https:\u002F\u002Fgithub.com\u002Fmengke-wang\u002Fxiaohongshu-ai-workbench\u002Farchive\u002FHEAD.zip","npx skillfish add mengke-wang\u002Fxiaohongshu-ai-workbench",472,[],[19,20],[232,233],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-10T04:10:01.517675",{"slug":238,"name":239,"title":239,"skillCategorySlug":8,"summary":240,"description":241,"skillCategoryName":11,"sourceUrl":242,"downloadUrl":243,"cliCommand":244,"authorName":-1,"version":-1,"license":-1,"stars":245,"trendScore":246,"qualityScore":246,"recommendedTools":247,"recommendedToolNames":247,"supportedClients":248,"clients":249,"tags":252,"installHint":244,"useCases":253,"updatedAt":254},"op7418-guizang-yingzao-skill","op7418\u002Fguizang-yingzao-skill","🏯 Claude Code \u002F Codex skill — transform Chinese architecture, cultural places & travel photos into art-directed editorial posters with GPT Image. 中国古建筑与在地文化照片 → 艺术指导海报","把你拍下的建筑、街巷、店铺、器物与地方食物，转成真正经过艺术指导的编辑海报——不是给照片套滤镜，也不是把标题贴在空白处。\n\nYingzao 会先读照片的构图与身份，再选择一张兼容的主导参考，设计中文展示字与图文空间关系，最后把原图、参考与稀疏排版垫图一起交给图像模型完成整体重绘。主体处理、主动色场、地域材质和文字遮挡发生在同一个视觉世界里。\n\n- 识别照片是正立面、仰视、对角、框景、局部构件还是环境叙事，并只修复一个真正影响画面的构图问题。 - 保护屋坡、飞檐、匾额、轮廓、不对称等身份锚点，不把真实建筑“优化”成另一栋楼。 - 在看参考图之前先提出主体、背景、图文互动与排版动作四域命题，避免参考越多、结果越平庸。 - 从内置 Recipe 与真实参考图中选择兼容方向，不把几十条风格词机械串进提示词。 - 设计展示字的宽窄、重心、笔画对比、收笔、字腔、节奏与表面媒介；小字可使用另一常规字族建立层级。 - 把主体语义抠取、移位、分区上材质，并让真实轮廓与标题、色形发生遮挡、共边或负形咬合。 - 多图“合一”时提取各图主体，在共享透视、光向、接触阴影和边缘语言中重建一个场景；只有明确要求组照时才保留照片矩形。 - 海报完成后，可按你的选择继续制作一张 3×3 视频分镜图和可直接交给视频模型的提示词。\n\n如果地点、殿名或历史信息不确定，可以先让 Agent 检索；Yingzao 只把已核实、照片可见或你确认过的信息写进海报。\n\n高风格化任务固定使用三类视觉输入：校正原图负责身份，主导参考负责完整视觉机制，排版垫图负责文字范围、共同轴、动作区域与遮挡关系。所选 Recipe 会先编译成主体、背景、字体、互动四域的当前照片动作；这些动作一边写入最终 ImageGen 提示词，一边通过 S1 \u002F B1 \u002F T1 等标记指向垫图中的具体区域。调用前交接清单会检查每个启用 Token 是否真的进入模型输入，再把三张图和完整提示词一起锁定；reinterpret 标题使用字符槽而不是大号普通字体轮廓，避免把宋体垫图误当成最终字形。图像模型负责把它们融合，而不是照着网页排版重新渲染一遍。","https:\u002F\u002Fgithub.com\u002Fop7418\u002Fguizang-yingzao-skill","https:\u002F\u002Fgithub.com\u002Fop7418\u002Fguizang-yingzao-skill\u002Farchive\u002FHEAD.zip","npx skillfish add op7418\u002Fguizang-yingzao-skill",390,71,[],[19,20],[250,251],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-09-09T03:19:55.60389",{"slug":256,"name":257,"title":257,"skillCategorySlug":8,"summary":258,"description":258,"skillCategoryName":11,"sourceUrl":259,"downloadUrl":260,"cliCommand":261,"authorName":-1,"version":-1,"license":-1,"stars":262,"trendScore":246,"qualityScore":246,"recommendedTools":263,"recommendedToolNames":263,"supportedClients":264,"clients":265,"tags":268,"installHint":261,"useCases":269,"updatedAt":236},"0xshe-php-code-audit-skill","0xshe\u002Fphp-code-audit-skill","本仓库是一套面向 的白盒代码安全审计 Skill 集合，覆盖「路由枚举 → 鉴权建模 → 数据流追踪 → 分类漏洞审计 → 证据一致性校验 → 报告汇总」全流程；在 Cursor 等环境中以 的方式落地。","https:\u002F\u002Fgithub.com\u002F0xshe\u002Fphp-code-audit-skill","https:\u002F\u002Fgithub.com\u002F0xshe\u002Fphp-code-audit-skill\u002Farchive\u002FHEAD.zip","npx skillfish add 0xshe\u002Fphp-code-audit-skill",386,[],[19,20],[266,267],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],{"slug":271,"name":272,"title":272,"skillCategorySlug":8,"summary":273,"description":273,"skillCategoryName":11,"sourceUrl":274,"downloadUrl":275,"cliCommand":276,"authorName":-1,"version":-1,"license":-1,"stars":277,"trendScore":246,"qualityScore":246,"recommendedTools":278,"recommendedToolNames":278,"supportedClients":279,"clients":280,"tags":283,"installHint":276,"useCases":284,"updatedAt":285},"liyue-aigc-xianxia-visual-director","liyue-aigc\u002Fxianxia-visual-director","xianxia-visual-director 是一个面向 Codex \u002F Agent Skills 体系的东方仙侠环境视觉导演 Skill，用于把简短构想、已有提示词或视觉参考，扩展为结构清晰、可控、可衍生的电影级图片提示词。","https:\u002F\u002Fgithub.com\u002Fliyue-aigc\u002Fxianxia-visual-director","https:\u002F\u002Fgithub.com\u002Fliyue-aigc\u002Fxianxia-visual-director\u002Farchive\u002FHEAD.zip","npx skillfish add liyue-aigc\u002Fxianxia-visual-director",394,[],[19,20],[281,282],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-17T03:59:16.52272",{"slug":287,"name":288,"title":288,"skillCategorySlug":8,"summary":289,"description":289,"skillCategoryName":11,"sourceUrl":290,"downloadUrl":291,"cliCommand":292,"authorName":-1,"version":-1,"license":-1,"stars":293,"trendScore":246,"qualityScore":246,"recommendedTools":294,"recommendedToolNames":294,"supportedClients":295,"clients":296,"tags":299,"installHint":292,"useCases":300,"updatedAt":301},"nvidia-nvidia-kaggle","nvidia\u002Fnvidia-kaggle","NVIDIA Kaggle Plugin gives agents end-to-end Kaggle competition workflows through a single skill, nvidia-kaggle-skill.","https:\u002F\u002Fgithub.com\u002Fnvidia\u002Fnvidia-kaggle","https:\u002F\u002Fgithub.com\u002Fnvidia\u002Fnvidia-kaggle\u002Farchive\u002FHEAD.zip","npx skillfish add nvidia\u002Fnvidia-kaggle",293,[],[19,20],[297,298],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-15T01:43:30.802766",{"slug":303,"name":304,"title":304,"skillCategorySlug":8,"summary":305,"description":305,"skillCategoryName":11,"sourceUrl":306,"downloadUrl":307,"cliCommand":308,"authorName":-1,"version":-1,"license":-1,"stars":309,"trendScore":246,"qualityScore":246,"recommendedTools":310,"recommendedToolNames":310,"supportedClients":311,"clients":312,"tags":315,"installHint":308,"useCases":316,"updatedAt":317},"gordensun-mathvideomaker","gordensun\u002Fmathvideomaker","一个 Cursor Agent Skill：根据需求**，并把实现细节打磨到位，让能力较弱、甚至没有视觉能力的模型也能稳定产出准确、生动的内容。","https:\u002F\u002Fgithub.com\u002Fgordensun\u002Fmathvideomaker","https:\u002F\u002Fgithub.com\u002Fgordensun\u002Fmathvideomaker\u002Farchive\u002FHEAD.zip","npx skillfish add gordensun\u002Fmathvideomaker",249,[],[19,20],[313,314],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-07-23T01:54:13.08281",{"slug":319,"name":320,"title":320,"skillCategorySlug":8,"summary":321,"description":321,"skillCategoryName":11,"sourceUrl":322,"downloadUrl":323,"cliCommand":324,"authorName":-1,"version":-1,"license":-1,"stars":325,"trendScore":246,"qualityScore":246,"recommendedTools":326,"recommendedToolNames":326,"supportedClients":327,"clients":328,"tags":331,"installHint":324,"useCases":332,"updatedAt":285},"liyue-aigc-xianxia-cinematic-video-director","liyue-aigc\u002Fxianxia-cinematic-video-director","xianxia-cinematic-video-director 是一个面向 Codex \u002F Agent Skills 体系的东方仙侠电影视频导演 Skill。它将场景构想、图片提示词、关键帧或参考视频，扩展为具有故事推进、空间连续性、明确运镜和稳定首尾状态的多镜头视频方案。","https:\u002F\u002Fgithub.com\u002Fliyue-aigc\u002Fxianxia-cinematic-video-director","https:\u002F\u002Fgithub.com\u002Fliyue-aigc\u002Fxianxia-cinematic-video-director\u002Farchive\u002FHEAD.zip","npx skillfish add liyue-aigc\u002Fxianxia-cinematic-video-director",208,[],[19,20],[329,330],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],{"slug":334,"name":335,"title":335,"skillCategorySlug":8,"summary":336,"description":336,"skillCategoryName":11,"sourceUrl":337,"downloadUrl":338,"cliCommand":339,"authorName":-1,"version":-1,"license":-1,"stars":340,"trendScore":246,"qualityScore":246,"recommendedTools":341,"recommendedToolNames":341,"supportedClients":342,"clients":343,"tags":346,"installHint":339,"useCases":347,"updatedAt":285},"joeseesun-qiaomu-novel-generator","joeseesun\u002Fqiaomu-novel-generator","你想写一个爽文、武侠、修仙、悬疑或现代组织内斗故事，AI 却常常给你一篇“像大纲、像说明书、像套路拼贴”的东西。 qiaomu-novel-generator 先帮你把剧情钩子、经典桥段、人物欲望、冲突升级和结尾余味定住，再写成原创、完整、低 AI 味的中文小说。","https:\u002F\u002Fgithub.com\u002Fjoeseesun\u002Fqiaomu-novel-generator","https:\u002F\u002Fgithub.com\u002Fjoeseesun\u002Fqiaomu-novel-generator\u002Farchive\u002FHEAD.zip","npx skillfish add joeseesun\u002Fqiaomu-novel-generator",377,[],[19,20],[344,345],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],{"slug":349,"name":350,"title":350,"skillCategorySlug":8,"summary":351,"description":351,"skillCategoryName":11,"sourceUrl":352,"downloadUrl":353,"cliCommand":354,"authorName":-1,"version":-1,"license":-1,"stars":355,"trendScore":246,"qualityScore":246,"recommendedTools":356,"recommendedToolNames":356,"supportedClients":357,"clients":358,"tags":361,"installHint":354,"useCases":362,"updatedAt":363},"brandon030722-ark-ui-skill","brandon030722\u002Fark-ui-skill","Ark UI 是一套基于公开设计证据、采用 clean-room 方法实现的界面设计与前端工作流。它支持两个互相独立的选择轴：","https:\u002F\u002Fgithub.com\u002Fbrandon030722\u002Fark-ui-skill","https:\u002F\u002Fgithub.com\u002Fbrandon030722\u002Fark-ui-skill\u002Farchive\u002FHEAD.zip","npx skillfish add brandon030722\u002Fark-ui-skill",231,[],[19,20],[359,360],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-14T02:23:42.447203",{"slug":365,"name":366,"title":366,"skillCategorySlug":8,"summary":367,"description":367,"skillCategoryName":11,"sourceUrl":368,"downloadUrl":369,"cliCommand":370,"authorName":-1,"version":-1,"license":-1,"stars":371,"trendScore":372,"qualityScore":372,"recommendedTools":373,"recommendedToolNames":373,"supportedClients":374,"clients":375,"tags":378,"installHint":370,"useCases":379,"updatedAt":380},"darksider-9-master-thesis-studio-skill","darksider-9\u002Fmaster-thesis-studio-skill","面向东南大学的中文硕士论文写作与 Word 自动生成的 Codex Skill，默认适配东南大学风格硕士论文 Word 模板。它把论文创作流程拆成两层：先通过对话确认题目、章节、资产和写作边界，再通过内置 Python 脚本把 Markdown 内容安全写入 Word 模板，生成新的 .docx 文件，打开时出现任何弹窗都点击是即可。","https:\u002F\u002Fgithub.com\u002Fdarksider-9\u002Fmaster-thesis-studio-skill","https:\u002F\u002Fgithub.com\u002Fdarksider-9\u002Fmaster-thesis-studio-skill\u002Farchive\u002FHEAD.zip","npx skillfish add darksider-9\u002Fmaster-thesis-studio-skill",119,70,[],[19,20],[376,377],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-22T00:56:48.527003",{"slug":382,"name":383,"title":383,"skillCategorySlug":8,"summary":384,"description":384,"skillCategoryName":11,"sourceUrl":385,"downloadUrl":386,"cliCommand":387,"authorName":-1,"version":-1,"license":-1,"stars":388,"trendScore":372,"qualityScore":372,"recommendedTools":389,"recommendedToolNames":389,"supportedClients":390,"clients":391,"tags":394,"installHint":387,"useCases":395,"updatedAt":396},"yantoumu-adsense-site-auditor-skill","yantoumu\u002Fadsense-site-auditor-skill","Codex skill for auditing whether a website is ready to apply for Google AdSense.","https:\u002F\u002Fgithub.com\u002Fyantoumu\u002Fadsense-site-auditor-skill","https:\u002F\u002Fgithub.com\u002Fyantoumu\u002Fadsense-site-auditor-skill\u002Farchive\u002FHEAD.zip","npx skillfish add yantoumu\u002Fadsense-site-auditor-skill",157,[],[19,20],[392,393],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-07-24T01:24:23.927575",{"slug":398,"name":399,"title":399,"skillCategorySlug":8,"summary":400,"description":400,"skillCategoryName":11,"sourceUrl":401,"downloadUrl":402,"cliCommand":403,"authorName":-1,"version":-1,"license":-1,"stars":74,"trendScore":372,"qualityScore":372,"recommendedTools":404,"recommendedToolNames":404,"supportedClients":405,"clients":406,"tags":409,"installHint":403,"useCases":410,"updatedAt":411},"gnipbao-dao-skill","gnipbao\u002Fdao-skill","先归根，再分化；先明道，再造物。 从混沌需求出发，生成可运行、可验证、可进化的 Agent Skill。","https:\u002F\u002Fgithub.com\u002Fgnipbao\u002Fdao-skill","https:\u002F\u002Fgithub.com\u002Fgnipbao\u002Fdao-skill\u002Farchive\u002FHEAD.zip","npx skillfish add gnipbao\u002Fdao-skill",[],[19,20],[407,408],{"slug":19,"name":23,"summary":24,"count":25},{"slug":20,"name":27,"summary":28,"count":25},[8],[],"2026-08-26T01:16:19.126484",100,1,24]