[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:stats":3,"skills:pro6":8,"skills:sce6":55,"skills:creators9":100,"skills:all:stars:10664:":195},{"skillCount":4,"professionCount":5,"scenarioCount":6,"creatorCount":7},192262,11,7,1890,[9,20,27,34,41,48],{"categoryNo":10,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":13,"categoryNameEn":14,"description":15,"level":16,"skillCount":17,"parentNo":18,"parentName":18,"children":19},"01JBSEEDCAT000000000000030","PROFESSION","适用职业","开发工程师","Software Engineer","从事软件编码、测试与运维的工程师",1,13277,null,[],{"categoryNo":21,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":22,"categoryNameEn":23,"description":24,"level":16,"skillCount":25,"parentNo":18,"parentName":18,"children":26},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7778,[],{"categoryNo":28,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":29,"categoryNameEn":30,"description":31,"level":16,"skillCount":32,"parentNo":18,"parentName":18,"children":33},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4989,[],{"categoryNo":35,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":36,"categoryNameEn":37,"description":38,"level":16,"skillCount":39,"parentNo":18,"parentName":18,"children":40},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3941,[],{"categoryNo":42,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":43,"categoryNameEn":44,"description":45,"level":16,"skillCount":46,"parentNo":18,"parentName":18,"children":47},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3449,[],{"categoryNo":49,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":50,"categoryNameEn":51,"description":52,"level":16,"skillCount":53,"parentNo":18,"parentName":18,"children":54},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3317,[],[56,65,72,79,86,93],{"categoryNo":57,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":60,"categoryNameEn":61,"description":62,"level":16,"skillCount":63,"parentNo":18,"parentName":18,"children":64},"01JBSEEDCAT000000000000022","SCENARIO","使用场景","智能体与自动化","Agents & Automation","Skill、MCP、智能体与工作流自动化",39464,[],{"categoryNo":66,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":67,"categoryNameEn":68,"description":69,"level":16,"skillCount":70,"parentNo":18,"parentName":18,"children":71},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26546,[],{"categoryNo":73,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":74,"categoryNameEn":75,"description":76,"level":16,"skillCount":77,"parentNo":18,"parentName":18,"children":78},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13574,[],{"categoryNo":80,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":81,"categoryNameEn":82,"description":83,"level":16,"skillCount":84,"parentNo":18,"parentName":18,"children":85},"01JBSEEDCAT000000000000001","办公效率","Office Productivity","日常办公文档、表格、演示与沟通类任务",6292,[],{"categoryNo":87,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":88,"categoryNameEn":89,"description":90,"level":16,"skillCount":91,"parentNo":18,"parentName":18,"children":92},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6034,[],{"categoryNo":94,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":95,"categoryNameEn":96,"description":97,"level":16,"skillCount":98,"parentNo":18,"parentName":18,"children":99},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5533,[],{"records":101,"total":7,"current":16,"size":194},[102,114,123,133,143,153,163,172,182],{"accountNo":103,"login":104,"displayName":105,"avatarUrl":106,"accountType":107,"accountTypeDesc":108,"profileDescription":109,"skillCount":110,"repoCount":111,"professionCount":5,"scenarioCount":6,"totalStars":112,"updatedAt":113},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4166,229,827679,"2026-11-11 10:41:13",{"accountNo":115,"login":116,"displayName":116,"avatarUrl":117,"accountType":107,"accountTypeDesc":108,"profileDescription":118,"skillCount":119,"repoCount":120,"professionCount":6,"scenarioCount":6,"totalStars":121,"updatedAt":122},"01M698P3FSAZ6B4R928ZF19KPT","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","Your personal, open source AI assistant.",362,32,437560,"2026-11-11 08:48:08",{"accountNo":124,"login":125,"displayName":126,"avatarUrl":127,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":128,"repoCount":129,"professionCount":6,"scenarioCount":130,"totalStars":131,"updatedAt":132},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,341309,"2026-11-11 09:55:46",{"accountNo":134,"login":135,"displayName":136,"avatarUrl":137,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":138,"repoCount":139,"professionCount":140,"scenarioCount":6,"totalStars":141,"updatedAt":142},"01M6AC83E6K4FDKK7HZ8WNMQKE","apache","The Apache Software Foundation","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4",413,74,8,298026,"2026-11-11 12:04:37",{"accountNo":144,"login":145,"displayName":146,"avatarUrl":147,"accountType":107,"accountTypeDesc":108,"profileDescription":148,"skillCount":149,"repoCount":150,"professionCount":5,"scenarioCount":6,"totalStars":151,"updatedAt":152},"01M698VYEFDM0VJBZDYYJ2T83S","google","Google","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1342004?v=4","Google ❤️ Open Source",535,48,241090,"2026-11-11 10:04:45",{"accountNo":154,"login":155,"displayName":156,"avatarUrl":157,"accountType":107,"accountTypeDesc":108,"profileDescription":158,"skillCount":159,"repoCount":160,"professionCount":5,"scenarioCount":6,"totalStars":161,"updatedAt":162},"01M6AC83DS133TPXFSP1DHNCC6","github","GitHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","How people build software.",936,27,237963,"2026-11-11 11:59:04",{"accountNo":164,"login":165,"displayName":166,"avatarUrl":167,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":168,"repoCount":169,"professionCount":5,"scenarioCount":6,"totalStars":170,"updatedAt":171},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,230964,"2026-11-11 11:16:59",{"accountNo":173,"login":174,"displayName":175,"avatarUrl":176,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":177,"repoCount":178,"professionCount":179,"scenarioCount":6,"totalStars":180,"updatedAt":181},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,187989,"2026-11-11 12:08:44",{"accountNo":183,"login":184,"displayName":185,"avatarUrl":186,"accountType":187,"accountTypeDesc":188,"profileDescription":189,"skillCount":190,"repoCount":191,"professionCount":130,"scenarioCount":6,"totalStars":192,"updatedAt":193},"01M6DJCCDDG53MTYYRTXAXFG17","garrytan","Garry Tan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F19957?v=4","USER","个人作者","Writes software, dreams. ",324,3,174110,"2026-11-11 10:31:36",9,{"records":196,"total":4,"current":677,"size":678},[197,239,273,300,335,356,386,408,434,460,485,518,541,560,575,595,635,655],{"skillNo":198,"name":199,"nameZh":18,"description":200,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":209,"categories":210,"keywords":215,"publishedAt":238},"01M6C2KYEHWXF2KSK2C5E8RRS3","seo-flow","FLOW framework integration: evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says \"FLOW\", \"FLOW framework\", \"seo flow\", \"evidence-led SEO\", \"find leverage optimize win\", or wants stage-specific SEO prompts.","noirelab\u002Flinux-setup","noirelab","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142925921?v=4","01M6C29R3FEDGFAXAT0KXY28QX","Kaíque M. Lima","01M6C29R811WX04B0GYHTH1XV6",0,"MIT","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-flow\u002FSKILL.md",[211,214],{"categoryNo":212,"categoryName":213,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":42,"categoryName":43,"taxonomyType":11,"taxonomyTypeDesc":12},[216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237],"seo flow","seo","flow","evidence","find","integration","knowledge","use","loop","user","framework","leverage","true","when","URL","stage","knowledge base","optimize","surfaces","cc","base","prompts","2026-11-10 10:12:30",{"skillNo":240,"name":241,"nameZh":18,"description":242,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":243,"categories":244,"keywords":251,"publishedAt":238},"01M6C2KVEK4A3DWRVTPP2P11RB","seo-ecommerce","E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. Combines on-page product SEO with marketplace data from DataForSEO Merchant API. Use when user says \"ecommerce SEO\", \"product SEO\", \"Google Shopping\", \"marketplace SEO\", \"product schema\", \"Amazon SEO\", \"product listings\", \"shopping ads\", or \"merchant SEO\".","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-ecommerce\u002FSKILL.md",[245,248,249,250],{"categoryNo":246,"categoryName":247,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":212,"categoryName":213,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":10,"categoryName":13,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":42,"categoryName":43,"taxonomyType":11,"taxonomyTypeDesc":12},[217,252,253,254,255,256,257,223,258,259,260,261,262,263,145,264,225,265,266,267,229,230,268,269,270,271,272],"seo ecommerce","ecommerce","page","pricing","challenge","schema","analysis","api","ads","product","marketplace","validation","data","shopping","google shopping","seo analysis","commerce","e-commerce","listings","intelligence","merchant",{"skillNo":274,"name":275,"nameZh":18,"description":276,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":277,"categories":278,"keywords":281,"publishedAt":238},"01M6C2KRQTGAPFV0ZJH5Z6BJ0T","seo-drift","SEO drift monitoring: capture baselines of SEO-critical elements, detect changes, and track regressions over time. Git for SEO: baseline, diff, and track changes to your on-page SEO. Use when user says \"SEO drift\", \"baseline\", \"track changes\", \"did anything break\", \"SEO regression\", \"compare SEO\", \"before and after\", \"monitor SEO changes\", or \"deployment check\".","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-drift\u002FSKILL.md",[279,280],{"categoryNo":212,"categoryName":213,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":42,"categoryName":43,"taxonomyType":11,"taxonomyTypeDesc":12},[217,282,283,284,285,286,254,287,288,289,290,256,291,223,292,225,293,294,295,296,229,230,297,298,299],"seo drift","drift","before and after","history","diff","regression","deployment","baseline","monitor","git","capture","monitoring","check","time","critical","track","break","for",{"skillNo":301,"name":302,"nameZh":18,"description":303,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":304,"sourceHtmlUrl":305,"categories":306,"keywords":316,"publishedAt":238},"01M6C2KNQPR96K98MMK537WN6M","seo-dataforseo","Live SEO data via DataForSEO MCP server: SERP analysis, keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis, competitor and content analysis, business listings, AI visibility (LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says \"dataforseo\", \"live SERP\", \"keyword volume\", \"backlink data\", \"AI visibility check\", or \"real search data\".","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-dataforseo\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-dataforseo\u002FSKILL.md",[307,308,311,314,315],{"categoryNo":212,"categoryName":213,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":309,"categoryName":310,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":312,"categoryName":313,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":28,"categoryName":29,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":42,"categoryName":43,"taxonomyType":11,"taxonomyTypeDesc":12},[217,317,254,318,319,223,320,321,258,294,322,323,324,264,325,326,327,225,328,329,330,229,331,332,270,333,334],"seo dataforseo","search","MCP","business","mcp server","server","research","command","tracking","analytics","content","volume","serp analysis","content analysis","query","intent","live","domain",{"skillNo":336,"name":337,"nameZh":18,"description":338,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":339,"sourceHtmlUrl":340,"categories":341,"keywords":345,"publishedAt":238},"01M6C2KJZ3Z51KTE8DAK8AKVVG","seo-content","Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says \"content quality\", \"E-E-A-T\", \"content analysis\", \"readability check\", \"thin content\", or \"content audit\".","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-content\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-content\u002FSKILL.md",[342,343,344],{"categoryNo":212,"categoryName":213,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":42,"categoryName":43,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":35,"categoryName":36,"taxonomyType":11,"taxonomyTypeDesc":12},[217,346,327,347,348,349,223,350,258,225,294,330,229,230,351,352,228,353,354,355],"seo content","audit","quality","assessment","content audit","readability","e-e-a-t","with","readiness","Citation",{"skillNo":357,"name":358,"nameZh":18,"description":359,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":360,"sourceHtmlUrl":361,"categories":362,"keywords":369,"publishedAt":238},"01M6C2KG01VWJKPDFPKWQ8ZXRY","seo-content-brief","Generate competitive SEO content briefs with per-section word counts, competitor scoring, keyword density guidance, and page-type templates. Supports both new page briefs and improve-existing-page briefs. Use when user says \"content brief\", \"write a brief\", \"content outline\", \"blog brief\", \"service page brief\", \"brief for\", \"writing brief\", \"content plan\", or \"outline for\".","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-content-brief\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-content-brief\u002FSKILL.md",[363,366,367,368],{"categoryNo":364,"categoryName":365,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":212,"categoryName":213,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":42,"categoryName":43,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":35,"categoryName":36,"taxonomyType":11,"taxonomyTypeDesc":12},[370,217,371,327,372,346,373,254,374,375,223,376,377,378,379,380,225,381,229,230,382,383,384,385,299],"brief","seo content brief","content brief","Word","improve","writing","plan","blog","generate","write","templates","new","scoring","blog brief","briefs","competitive",{"skillNo":387,"name":388,"nameZh":18,"description":389,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":390,"sourceHtmlUrl":391,"categories":392,"keywords":395,"publishedAt":238},"01M6C2KDE8TPHY6VKWT8NR2CNT","seo-competitor-pages","Generate SEO-optimized competitor comparison and alternatives pages. Covers \"X vs Y\" layouts, \"alternatives to X\" pages, feature matrices, schema markup, and conversion optimization. Use when user says \"comparison page\", \"vs page\", \"alternatives page\", \"competitor comparison\", \"X vs Y\", \"versus\", \"compare competitors\", or \"alternative to\".","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-competitor-pages\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-competitor-pages\u002FSKILL.md",[393,394],{"categoryNo":212,"categoryName":213,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":42,"categoryName":43,"taxonomyType":11,"taxonomyTypeDesc":12},[217,396,397,398,399,400,378,254,401,257,223,402,225,229,230,403,404,405,406,228,407],"seo competitor pages","competitor pages","competitor","pages","schema markup","Optimization","competitors","conversion","feature","alternatives","alternatives pages","comparison",{"skillNo":409,"name":410,"nameZh":18,"description":411,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":412,"categories":413,"keywords":418,"publishedAt":238},"01M6C2KA2MKWA4RR4750F554P3","seo-cluster","SERP-based semantic topic clustering for content architecture planning. Groups keywords by actual Google SERP overlap (not text similarity), designs hub-and-spoke content clusters with internal link matrices, and generates interactive visualizations. Optionally executes content creation if claude-blog is installed. Use when user says \"topic cluster\", \"content cluster\", \"semantic clustering\", \"pillar page\", \"hub and spoke\", \"content architecture\", \"keyword grouping\", or \"cluster plan\".","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-cluster\u002FSKILL.md",[414,415,416,417],{"categoryNo":364,"categoryName":365,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":212,"categoryName":213,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":42,"categoryName":43,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":35,"categoryName":36,"taxonomyType":11,"taxonomyTypeDesc":12},[217,419,420,421,422,423,254,256,223,424,425,426,376,377,145,327,225,427,428,429,430,229,230,431,432,433],"seo cluster","cluster","visualizations","miller","planning","interactive","architecture","text","clustering","creation","content creation","grouping","hub-and-spoke","seed","Clusters",{"skillNo":435,"name":436,"nameZh":18,"description":437,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":438,"sourceHtmlUrl":439,"categories":440,"keywords":443,"publishedAt":238},"01M6C2K77QM246WRGT3ARBKJ83","seo-backlinks","Backlink profile analysis: referring domains, anchor text distribution, toxic link detection, competitor gap analysis. Works with free APIs (Moz, Bing Webmaster, Common Crawl) and DataForSEO extension. Use when user says backlinks, link profile, referring domains, anchor text, toxic links, link gap, link building, disavow, or backlink audit.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-backlinks\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-backlinks\u002FSKILL.md",[441,442],{"categoryNo":212,"categoryName":213,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":42,"categoryName":43,"taxonomyType":11,"taxonomyTypeDesc":12},[217,444,445,426,446,347,447,223,258,225,259,448,449,450,451,452,453,454,229,230,455,456,457,458,459],"seo backlinks","backlinks","verify","detection","profile","common","distribution","crawl","link building","domains","free","bing","backlink audit","webmaster","signup","links",{"skillNo":461,"name":462,"nameZh":18,"description":463,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":464,"sourceHtmlUrl":465,"categories":466,"keywords":469,"publishedAt":238},"01M6C2K4N6QTWCBZSSC7PTWEFE","seo-audit","Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to up to 15 specialists (8 always + 7 conditional), generates health score. Use when user says audit, full SEO check, analyze my site, or website health check.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-audit\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-audit\u002FSKILL.md",[467,468],{"categoryNo":212,"categoryName":213,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":42,"categoryName":43,"taxonomyType":11,"taxonomyTypeDesc":12},[217,470,347,471,472,473,223,320,474,294,475,476,477,478,479,480,225,229,230,481,482,228,399,483,484],"seo audit","parallel","up","delegation","subagent","analyze","health","health check","website","site","website seo audit","my","full","conditional","type",{"skillNo":486,"name":487,"nameZh":18,"description":488,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":489,"licenseFileUrl":18,"sourceHtmlUrl":490,"categories":491,"keywords":492,"publishedAt":238},"01M6C2JB58JBJSEDVWS4KETZXZ","returns-reverse-logistics","Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Freturns-reverse-logistics\u002FSKILL.md",[],[493,494,495,496,223,497,498,155,499,261,500,501,502,503,447,504,505,506,507,508,229,509,510,511,512,513,514,515,516,299,517],"returns reverse logistics","returns","reverse","reverse logistics","decisions","code","recovery","operations","vendor","fraud","https","management","authorization","economics","processing","inspection","fraud detection","managers","claims management","claims","expertise","pattern","grading","refund","frameworks",{"skillNo":519,"name":520,"nameZh":18,"description":521,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":489,"licenseFileUrl":18,"sourceHtmlUrl":522,"categories":523,"keywords":524,"publishedAt":238},"01M6C2J1K4MDR22ZNHKA39CQNR","quality-nonconformance","Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fquality-nonconformance\u002FSKILL.md",[],[348,525,526,527,528,223,258,498,155,347,503,529,530,531,532,264,504,229,533,534,535,536,513,537,538,539,299,540],"quality nonconformance","interpretation","lifecycle","issues","fda","investigation","methodology","root cause analysis","corrective action","across","supplier quality management","manufacturing","action","conformance","environments","root cause",{"skillNo":542,"name":543,"nameZh":18,"description":544,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":489,"licenseFileUrl":18,"sourceHtmlUrl":545,"categories":546,"keywords":547,"publishedAt":238},"01M6C2HQK824S9P0M95BWR21FW","production-scheduling","Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC\u002Fdrum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP\u002FMES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fproduction-scheduling\u002FSKILL.md",[],[548,549,550,551,552,155,401,553,503,223,258,498,554,555,556,229,557,536,558,513,559,299,517],"production scheduling","Production","scheduling","erp","toc","bottleneck","batch","buffer","sequencing","interaction","line","patterns",{"skillNo":561,"name":562,"nameZh":18,"description":563,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":489,"licenseFileUrl":18,"sourceHtmlUrl":564,"categories":565,"keywords":566,"publishedAt":238},"01M6C2GR7V948G7AH5CPEFD84M","logistics-exception-management","Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Flogistics-exception-management\u002FSKILL.md",[],[567,504,568,569,528,223,498,570,155,503,229,512,571,513,572,573,299,517,353,574],"logistics exception management","escalation","protocols","shipping","delivery","judgment","freight","claude-code",{"skillNo":576,"name":577,"nameZh":18,"description":578,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":489,"licenseFileUrl":18,"sourceHtmlUrl":579,"categories":580,"keywords":581,"publishedAt":238},"01M6C2FYSSRH82VGX2DV0Y2GNQ","inventory-demand-planning","Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC\u002FXYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Finventory-demand-planning\u002FSKILL.md",[],[582,423,583,584,401,223,258,498,585,155,501,503,586,587,504,588,589,590,229,591,592,593,513,594,299,517],"inventory demand planning","inventory","demand planning","forecasting","negotiation","Safety","stock","selection","estimation","transition","seasonal","at","lift",{"skillNo":596,"name":597,"nameZh":18,"description":598,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":489,"licenseFileUrl":18,"sourceHtmlUrl":599,"categories":600,"keywords":608,"publishedAt":238},"01M6C2FJ5F8K1M5QM1JF3C2FZ5","impeccable","Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fimpeccable\u002FSKILL.md",[601,604,607],{"categoryNo":602,"categoryName":603,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":605,"categoryName":606,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":21,"categoryName":22,"taxonomyType":11,"taxonomyTypeDesc":12},[597,609,610,611,612,613,614,615,374,616,617,618,619,223,620,621,622,623,425,624,625,626,627,628,629,630,631,632,633,634],"ux review","clarify","performance","landing","distill","init","frontend","edge","design","only","animate","design systems","Bash","tasks","components","review","error","app","alignment","information architecture","overdrive","ux copy","states","quieter","iteration","interface",{"skillNo":636,"name":637,"nameZh":18,"description":638,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":489,"licenseFileUrl":18,"sourceHtmlUrl":639,"categories":640,"keywords":641,"publishedAt":238},"01M6C2EF0ADV125PJBRPZW3PKN","energy-procurement","Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fenergy-procurement\u002FSKILL.md",[],[642,643,644,645,646,401,223,258,498,647,155,648,649,503,650,504,651,229,510,652,653,654,593,513,299,517],"procurement","energy procurement","energy","cost management","gas","commercial","profiling","reporting","Evaluation","sustainability","strategies","charge","structure",{"skillNo":656,"name":657,"nameZh":18,"description":658,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":489,"licenseFileUrl":18,"sourceHtmlUrl":659,"categories":660,"keywords":662,"publishedAt":238},"01M6C2DGME1RM3ZWXH4PK5424J","customs-trade-compliance","Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import\u002Fexport documentation, or duty optimization.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fcustoms-trade-compliance\u002FSKILL.md",[661],{"categoryNo":49,"categoryName":50,"taxonomyType":11,"taxonomyTypeDesc":12},[663,664,665,401,666,223,498,667,155,503,668,669,670,671,229,534,672,513,673,674,675,299,353,676],"compliance","customs trade compliance","trade","classification","documentation","regulatory","utilization","export","regulatory compliance","hs","screening","customs documentation","import","logic",10664,18]