[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M73GWNK6CP3P9ANMC7JXGY39":3,"skill-same:01M73GWNK6CP3P9ANMC7JXGY39":77},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":48,"ownerHtmlUrl":49,"ownerBlogUrl":50,"ownerDescription":51,"updatedAt":52,"install":53,"resources":66},"01M73GWNK6CP3P9ANMC7JXGY39","social-x-post-card",null,"拟真 X 推文卡片 + 互动数据 (likes\u002Freposts\u002Fviews), 适配视频叠加或图卡分享","Horonomos-laps\u002FYana-AI","Horonomos-laps","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F355299122?v=4","01M76B3QPXE88ET2SQPDPVATZT"," Horonomos-laps","01M72ZQRJPCYPSSWT4D00VJR2A",13,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Ftools\u002Fyana-web\u002Fhtml-skills\u002Fsocial-x-post-card\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: social-x-post-card\nzh_name: \"X (Twitter) 帖子卡\"\nen_name: \"X \u002F Twitter Post Card\"\nemoji: \"𝕏\"\ndescription: \"拟真 X 推文卡片 + 互动数据 (likes\u002Freposts\u002Fviews), 适配视频叠加或图卡分享\"\ncategory: card\nscenario: marketing\naspect_hint: \"1280×720 或 1080×1080\"\nfeatured: 44\ntags: [\"twitter\", \"x\", \"social\", \"card\", \"overlay\"]\nexample_id: sample-social-x-post-card\nexample_name: \"X 帖子卡 · AlchainHust 金句\"\nexample_format: markdown\nexample_tagline: \"X dark mode + 互动数据\"\nexample_desc: \"一条金句推文 + 12.3K likes \u002F 1.2K reposts + 蓝勾\"\nexample_source_url: \"https:\u002F\u002Fhyperframes.heygen.com\u002Fcatalog\"\nexample_source_label: \"hyperframes · x-post\"\n---\n\n【模板: X (Twitter) 帖子卡】\n【意图】把一段推文内容 (或用户的金句) 渲染成一张拟真度极高的 X 帖子卡片, 用于视频叠加、推特发图、知识沉淀。Inspired by hyperframes x-post。\n\n【画布】1280×720 或 1080×1080, 暗背景 `#0f1419` 或亮背景 `#ffffff` (按 X 主题); 卡片居中, 阴影柔和。\n\n【卡片结构】\n- 外框: 圆角 16px, 1px border `#2f3336` (dark) \u002F `#eff3f4` (light), 内边距 16px。\n- 顶部 row: 头像 (48×48 圆形, 用 CSS gradient 占位) + 用户名 + handle `@username` + verified 蓝勾 + 时间 (mono, 12px, 灰)。\n- 正文: 17-22px, 字重 400; 链接用 X 蓝 `#1d9bf0`; hashtag 同色; mention 同色; 段落间空 0.6em。\n- 可选: 引用卡 (小卡内嵌, 灰底, 圆角 12px)。\n- 可选: 1 张图 (CSS 渐变 + 描述占位, 不能外链图片), 比例 16:9, 圆角 12px。\n- 互动 row: 4 个 icon + 数字 (回复 \u002F 转推 \u002F 引用 \u002F 点赞), icon 用 inline SVG (X 官方风格), 灰色, hover 时变色。\n- 顶部右上 X logo 单线 SVG。\n- 浏览量 row: 👁️ + 数字 (小字)。\n\n【字体】\n- 西文: `Chirp` (X 的字体) → fallback `Inter` 或 `Segoe UI`。\n- 中文: `Noto Sans SC` \u002F `PingFang SC`。\n- 数字: 同主字体, 不用 mono。\n\n【设计细节】\n- 配色 light: bg `#fff`, text `#0f1419`, secondary `#536471`, border `#eff3f4`, accent `#1d9bf0`。\n- 配色 dark (推荐, 视频叠加用): bg `#000`, text `#e7e9ea`, secondary `#71767b`, border `#2f3336`, accent `#1d9bf0`。\n- 数字格式化: 1.2K \u002F 4.5M (不要原始 1234)。\n- 内容必须来自用户输入, 不能编造推文。\n- 若用户输入是数据 → 自动总结成一句\"金句\"推文 (≤ 280 字符)。\n- 单文件 HTML; icon 内联 SVG; 不要任何外部图片 URL。\n- 可选: 卡片背后加微妙径向高光 `radial-gradient(...)` 增加视频叠加的可读性。\n","【模板: X (Twitter) 帖子卡】\n【意图】把一段推文内容 (或用户的金句) 渲染成一张拟真度极高的 X 帖子卡片, 用于视频叠加、推特发图、知识沉淀。Inspired by hyperframes x-post。\n\n【画布】1280×720 或 1080×1080, 暗背景 `#0f1419` 或亮背景 `#ffffff` (按 X 主题); 卡片居中, 阴影柔和。\n\n【卡片结构】\n- 外框: 圆角 16px, 1px border `#2f3336` (dark) \u002F `#eff3f4` (light), 内边距 16px。\n- 顶部 row: 头像 (48×48 圆形, 用 CSS gradient 占位) + 用户名 + handle `@username` + verified 蓝勾 + 时间 (mono, 12px, 灰)。\n- 正文: 17-22px, 字重 400; 链接用 X 蓝 `#1d9bf0`; hashtag 同色; mention 同色; 段落间空 0.6em。\n- 可选: 引用卡 (小卡内嵌, 灰底, 圆角 12px)。\n- 可选: 1 张图 (CSS 渐变 + 描述占位, 不能外链图片), 比例 16:9, 圆角 12px。\n- 互动 row: 4 个 icon + 数字 (回复 \u002F 转推 \u002F 引用 \u002F 点赞), icon 用 inline SVG (X 官方风格), 灰色, hover 时变色。\n- 顶部右上 X logo 单线 SVG。\n- 浏览量 row: 👁️ + 数字 (小字)。\n\n【字体】\n- 西文: `Chirp` (X 的字体) → fallback `Inter` 或 `Segoe UI`。\n- 中文: `Noto Sans SC` \u002F `PingFang SC`。\n- 数字: 同主字体, 不用 mono。\n\n【设计细节】\n- 配色 light: bg `#fff`, text `#0f1419`, secondary `#536471`, border `#eff3f4`, accent `#1d9bf0`。\n- 配色 dark (推荐, 视频叠加用): bg `#000`, text `#e7e9ea`, secondary `#71767b`, border `#2f3336`, accent `#1d9bf0`。\n- 数字格式化: 1.2K \u002F 4.5M (不要原始 1234)。\n- 内容必须来自用户输入, 不能编造推文。\n- 若用户输入是数据 → 自动总结成一句\"金句\"推文 (≤ 280 字符)。\n- 单文件 HTML; icon 内联 SVG; 不要任何外部图片 URL。\n- 可选: 卡片背后加微妙径向高光 `radial-gradient(...)` 增加视频叠加的可读性。\n",{"name":5,"tags":24,"emoji":30,"en_name":31,"zh_name":32,"category":28,"featured":33,"scenario":34,"example_id":35,"aspect_hint":36,"description":7,"example_desc":37,"example_name":38,"example_format":39,"example_tagline":40,"example_source_url":41,"example_source_label":42},[25,26,27,28,29],"twitter","x","social","card","overlay","𝕏","X \u002F Twitter Post Card","X (Twitter) 帖子卡",44,"marketing","sample-social-x-post-card","1280×720 或 1080×1080","一条金句推文 + 12.3K likes \u002F 1.2K reposts + 蓝勾","X 帖子卡 · AlchainHust 金句","markdown","X dark mode + 互动数据","https:\u002F\u002Fhyperframes.heygen.com\u002Fcatalog","hyperframes · x-post","main","481dcd7dd2e288b9d627a2bd017db70e64e6c6fa","tools\u002Fyana-web\u002Fhtml-skills\u002Fsocial-x-post-card",1,"https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI","https:\u002F\u002Fyana.vutam.link\u002F","https:\u002F\u002Fgithub.com\u002FHoronomos-laps","https:\u002F\u002Fyana.vutam.link","An open-source governed runtime & execution environment for multi-agent AI systems.","2026-11-11 23:56:26",{"source":8,"skillName":5,"commands":54,"prompt":64,"zipAvailable":65},[55,58,61],{"tool":56,"command":57},"npx","npx skills add Horonomos-laps\u002FYana-AI --skill social-x-post-card",{"tool":59,"command":60},"bunx","bunx skills add Horonomos-laps\u002FYana-AI --skill social-x-post-card",{"tool":62,"command":63},"pnpm","pnpm dlx skills add Horonomos-laps\u002FYana-AI --skill social-x-post-card","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Ftools\u002Fyana-web\u002Fhtml-skills\u002Fsocial-x-post-card\u002FSKILL.md",true,[67,73],{"path":68,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":71,"sourceHtmlUrl":72},"example.html","REFERENCE","参考文档",4418,"https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Ftools\u002Fyana-web\u002Fhtml-skills\u002Fsocial-x-post-card\u002Fexample.html",{"path":74,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":75,"sourceHtmlUrl":76},"example.md",333,"https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Ftools\u002Fyana-web\u002Fhtml-skills\u002Fsocial-x-post-card\u002Fexample.md",[78,86,93,101,109,117],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":82,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":85,"publishedAt":19},"01M735GKET5YVYKAY62W2P5YXB","openai--sentry--sentry","Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.","MIT","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fopenai--sentry--sentry\u002FSKILL.md",[],[],{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":19},"01M73DCAP83T17HY7SMGK7MGFE","ito-basket-compare","Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fito-basket-compare\u002FSKILL.md",[],[],{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":97,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":19},"01M734CYEMZFDR3KH6SW0JP8TD","implementing-network-traffic-baselining","Build network traffic baselines from NetFlow\u002FIPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly\u002Fdaily traffic pattern profiling","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FSKILL.md",[],[],{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":105,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":19},"01M73ASZ6NJRJM44Z2P84NGQ3Q","detecting-evasion-techniques-in-endpoint-logs","Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FSKILL.md",[],[],{"skillNo":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":113,"sourceHtmlUrl":114,"categories":115,"keywords":116,"publishedAt":19},"01M734AFNXD06Z78QRK0VKGT7Q","implementing-microsegmentation-with-guardicore","Implementing microsegmentation using Akamai Guardicore Segmentation to map application dependencies, create granular network policies, visualize east-west traffic flows, and enforce least-privilege communication between workloads across data centers and cloud.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FSKILL.md",[],[],{"skillNo":118,"name":119,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":122,"publishedAt":19},"01M736TK27QMCXK0DVCH25SJN5","ramdisk-tmpfs-patterns","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Framdisk-tmpfs-patterns\u002FSKILL.md",[],[]]