[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6JQCQ9TGSWD3NTSAP979EEN":3,"skill-same:01M6JQCQ9TGSWD3NTSAP979EEN":110},{"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":31,"publishedAt":52,"linkOnly":53,"markdownContent":54,"markdownBody":55,"frontMatter":56,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":62,"ownerHtmlUrl":63,"ownerBlogUrl":64,"ownerDescription":6,"updatedAt":65,"install":66,"resources":79},"01M6JQCQ9TGSWD3NTSAP979EEN","seo_aeo_best_practices",null,"SEO and AEO best practices for metadata, Open Graph, sitemaps, robots.txt, hreflang, JSON-LD structured data, EEAT, and content optimized for search engines and AI answer surfaces. Use this skill when implementing page SEO, technical SEO, schema markup, international SEO, AI-overview readiness, or improving content for Google, ChatGPT, Perplexity, and similar assistants.","LongLeo287\u002FOmniClaw","LongLeo287","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F141803367?v=4","01M6JK75C62VCNZKR5BRZ386YV","LongLeo","01M6JK75GQ78TSP1ZPXNKK3MCH",9,"MIT","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fseo_aeo_best_practices\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000019","营销推广","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000035","市场营销","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"best practices","seo aeo best practices","seo","aeo","open","for","implementing","answer","json-ld","eeat","surfaces","page","google","schema markup","perplexity","data","graph","search","chatgpt","structured data","2026-11-10 10:12:30",false,"---\nname: seo_aeo_best_practices\n\ndescription: SEO and AEO best practices for metadata, Open Graph, sitemaps, robots.txt, hreflang, JSON-LD structured data, EEAT, and content optimized for search engines and AI answer surfaces. Use this skill when implementing page SEO, technical SEO, schema markup, international SEO, AI-overview readiness, or improving content for Google, ChatGPT, Perplexity, and similar assistants.\n---\n\n# SEO & AEO Best Practices\n\nPrinciples for optimizing content for both traditional search engines (SEO) and AI-powered answer engines (AEO). Includes Google's EEAT guidelines and structured data implementation.\n\n## When to Apply\n\nReference these guidelines when:\n- Implementing metadata and Open Graph tags\n- Creating sitemaps and robots.txt\n- Adding JSON-LD structured data\n- Optimizing content for featured snippets\n- Preparing content for AI assistants (ChatGPT, Perplexity, etc.)\n- Evaluating content quality using EEAT principles\n\n## Core Concepts\n\n### SEO (Search Engine Optimization)\nOptimizing content to rank well in traditional search results (Google, Bing).\n\n### AEO (Answer Engine Optimization)\nOptimizing content to be selected as authoritative answers by AI systems.\n\n### EEAT (Experience, Expertise, Authoritativeness, Trustworthiness)\nGoogle's framework for evaluating content quality.\n\n## References\n\nStart with the one reference that matches the task, such as technical SEO, structured data, EEAT, or AI-answer readiness. See `references\u002F` for detailed guidance:\n- `references\u002Feeat-principles.md` — EEAT implementation and author schema\n- `references\u002Fstructured-data.md` — JSON-LD patterns (Article, FAQ, Breadcrumb, Product)\n- `references\u002Ftechnical-seo.md` — Technical SEO checklist (metadata, sitemaps, hreflang, robots.txt)\n- `references\u002Faeo-considerations.md` — AI\u002FAEO considerations (AI Overviews, crawler management)\n","# SEO & AEO Best Practices\n\nPrinciples for optimizing content for both traditional search engines (SEO) and AI-powered answer engines (AEO). Includes Google's EEAT guidelines and structured data implementation.\n\n## When to Apply\n\nReference these guidelines when:\n- Implementing metadata and Open Graph tags\n- Creating sitemaps and robots.txt\n- Adding JSON-LD structured data\n- Optimizing content for featured snippets\n- Preparing content for AI assistants (ChatGPT, Perplexity, etc.)\n- Evaluating content quality using EEAT principles\n\n## Core Concepts\n\n### SEO (Search Engine Optimization)\nOptimizing content to rank well in traditional search results (Google, Bing).\n\n### AEO (Answer Engine Optimization)\nOptimizing content to be selected as authoritative answers by AI systems.\n\n### EEAT (Experience, Expertise, Authoritativeness, Trustworthiness)\nGoogle's framework for evaluating content quality.\n\n## References\n\nStart with the one reference that matches the task, such as technical SEO, structured data, EEAT, or AI-answer readiness. See `references\u002F` for detailed guidance:\n- `references\u002Feeat-principles.md` — EEAT implementation and author schema\n- `references\u002Fstructured-data.md` — JSON-LD patterns (Article, FAQ, Breadcrumb, Product)\n- `references\u002Ftechnical-seo.md` — Technical SEO checklist (metadata, sitemaps, hreflang, robots.txt)\n- `references\u002Faeo-considerations.md` — AI\u002FAEO considerations (AI Overviews, crawler management)\n",{"name":5,"description":7},"main","c173cdffe08e788a99b91928a831b476b8434838","ecosystem\u002Fskills\u002Fseo_aeo_best_practices",0,"https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw","https:\u002F\u002Fportfolio-longleo.vercel.app\u002Flabs\u002Fomniclaw.html","https:\u002F\u002Fgithub.com\u002FLongLeo287","https:\u002F\u002Fwww.facebook.com\u002FResourceRookie2023","2026-09-30 00:58:05",{"source":8,"skillName":5,"commands":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add LongLeo287\u002FOmniClaw --skill seo_aeo_best_practices",{"tool":72,"command":73},"bunx","bunx skills add LongLeo287\u002FOmniClaw --skill seo_aeo_best_practices",{"tool":75,"command":76},"pnpm","pnpm dlx skills add LongLeo287\u002FOmniClaw --skill seo_aeo_best_practices","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fseo_aeo_best_practices\u002FSKILL.md",true,[80,86,90,94,98,102,106],{"path":81,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":84,"sourceHtmlUrl":85},"_DIR_IDENTITY.md","REFERENCE","参考文档",166,"https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fseo_aeo_best_practices\u002F_DIR_IDENTITY.md",{"path":87,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":88,"sourceHtmlUrl":89},"README.md",479,"https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fseo_aeo_best_practices\u002FREADME.md",{"path":91,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":92,"sourceHtmlUrl":93},"references\u002Faeo_considerations.md",5259,"https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fseo_aeo_best_practices\u002Freferences\u002Faeo_considerations.md",{"path":95,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":96,"sourceHtmlUrl":97},"references\u002Feeat_principles.md",3617,"https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fseo_aeo_best_practices\u002Freferences\u002Feeat_principles.md",{"path":99,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":100,"sourceHtmlUrl":101},"references\u002Fstructured_data.md",4383,"https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fseo_aeo_best_practices\u002Freferences\u002Fstructured_data.md",{"path":103,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":104,"sourceHtmlUrl":105},"references\u002Ftechnical_seo.md",4526,"https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fseo_aeo_best_practices\u002Freferences\u002Ftechnical_seo.md",{"path":107,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":108,"sourceHtmlUrl":109},"schema.json",468,"https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fseo_aeo_best_practices\u002Fschema.json",[111,147,167,194,210,237],{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":127,"publishedAt":52},"01M6JR0KQP4MHT32TN40D9CBFX","UI-UX Pro Max","Advanced UI\u002FUX analysis and generation skills with data-driven patterns. Python scripts (core.py, search.py) for systematic UI pattern extraction, design system generation, and component search from curated data sources.","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fui_components\u002Fui_ux_pro_max\u002FSKILL.md",[117,120,121,124],{"categoryNo":118,"categoryName":119,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":122,"categoryName":123,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000032","设计师",{"categoryNo":125,"categoryName":126,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000033","数据分析师",[128,129,130,131,132,133,134,135,49,136,137,138,139,140,141,142,143,144,145,146],"ux","ui","ui ux pro max","max","pro","ui ux","design","component","analysis","team","rd","ui-ux","active","systematic","scripts","pattern extraction","sources","advanced","data-driven",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":154,"publishedAt":52},"01M6JR0EF5AEQHP2FSTB57H05P","shadcn-ui","Expert guidance for integrating and building applications with shadcn\u002Fui components, including component discovery, installation, customization, and best practices.","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fui_components\u002Fshadcn_ui\u002FSKILL.md",[153],{"categoryNo":122,"categoryName":123,"taxonomyType":29,"taxonomyTypeDesc":30},[155,129,156,157,135,158,32,159,160,137,161,162,163,140,164,165,166,37],"shadcn","shadcn ui","components","core","applications","discovery","customization","guidance","expert","installation","ui components","with",{"skillNo":168,"name":169,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":176,"publishedAt":52},"01M6JR08F51BEN17RHFYX65WVE","zustand_store_ts","Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state\u002Faction separation. Use when building React state management, creating global stores, or implementing reactive state patterns with Zustand.","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fzustand_store_ts\u002FSKILL.md",[173],{"categoryNo":174,"categoryName":175,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,166,193,38],"zustand store ts","zustand","store","typescript","microsoft","react","create","state management","state","react state management","management","global","use","patterns","separation","middleware","action",{"skillNo":195,"name":178,"nameZh":6,"description":196,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":197,"categories":198,"keywords":199,"publishedAt":52},"01M6JR00TDMVAFFCZXZ04AN7Q7","Zustand state management guide. Use when working with store code (src\u002Fstore\u002F**), implementing actions, managing state, or creating slices. Triggers on Zustand store development, state management questions, or action implementation.","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fzustand\u002FSKILL.md",[],[178,200,184,201,185,202,203,187,204,189,205,206,207,179,166,208,209,193,38],"development","code","actions","src","guide","implementation","zustand state","triggers","questions","zustand state management",{"skillNo":211,"name":212,"nameZh":6,"description":213,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":214,"categories":215,"keywords":220,"publishedAt":52},"01M6JQZSWV4KWJP112G6XHEP44","youtube_summarizer","Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fyoutube_summarizer\u002FSKILL.md",[216,219],{"categoryNo":217,"categoryName":218,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236],"youtube","youtube summarizer","summarizer","generate","metadata","messaging","Video","fetch","telegram","transcription","summarization","structured","full","insights","transcripts","summaries",{"skillNo":238,"name":239,"nameZh":6,"description":240,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":241,"categories":242,"keywords":243,"publishedAt":52},"01M6JQZN3QJB6B77JGKJD62DQT","youtube_clipper","YouTube 视频智能剪辑工具。下载视频和字幕，AI 分析生成精细章节（几分钟级别）， 用户选择片段后自动剪辑、翻译字幕为中英双语、烧录字幕到视频，并生成总结文案。 使用场景：当用户需要剪辑 YouTube 视频、生成短视频片段、制作双语字幕版本时。 关键词：视频剪辑、YouTube、字幕翻译、双语字幕、视频下载、clip video","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fyoutube_clipper\u002FSKILL.md",[],[221,244,245,227,246,247,248,249,250,251,252,253,254,255,256,257,258],"clipper","youtube clipper","Bash","下载","视频","生成","关键词","翻译","read","write","clip","总结","工具","文案","sonnet"]