[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:stats":3,"skills:pro6":8,"skills:sce6":55,"skills:creators9":100,"skills:all:stars:63:":195},{"skillCount":4,"professionCount":5,"scenarioCount":6,"creatorCount":7},196628,11,7,1905,[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",1,13276,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",7776,[],{"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",4988,[],{"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",3940,[],{"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",39462,[],{"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",13572,[],{"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",6291,[],{"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",6033,[],{"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",5531,[],{"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",4166,229,828075,"2026-11-12 04:48:47",{"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.",362,32,437637,"2026-11-12 03:04:11",{"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",171,23,6,341786,"2026-11-12 03:20:15",{"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",420,75,8,298091,"2026-11-12 05:32:19",{"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",535,48,241637,"2026-11-12 03:57:04",{"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.",936,27,238133,"2026-11-12 03:23:28",{"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",674,17,231455,"2026-11-12 03:40:35",{"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",86,2,10,187999,"2026-11-12 03:17:01",{"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. ",324,3,174404,"2026-11-12 05:14:59",9,{"records":196,"total":4,"current":608,"size":609},[197,241,256,277,291,313,338,362,393,429,447,461,475,498,520,553,575,595],{"skillNo":198,"name":199,"nameZh":18,"description":200,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":205,"categories":206,"keywords":221,"publishedAt":240},"01M6ADZN19XFH2A3G1DT56Q9TB","power-bi-report-design-consultation","Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.","github\u002Fawesome-copilot","01M6AD3PBDYPK7NVFJNJ66Y8RS",41046,"MIT","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpower-bi-report-design-consultation\u002FSKILL.md",[207,210,213,216,217,218],{"categoryNo":208,"categoryName":209,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":211,"categoryName":212,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":21,"categoryName":22,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":28,"categoryName":29,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":219,"categoryName":220,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000034","行政与办公人员",[222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239],"design","power bi","report","power bi report design consultation","design consultation","power","bi","consultation","visualization","prompt","user","reports","chart selection","selection","layout","chart","with","for","2026-11-10 10:12:30",{"skillNo":242,"name":243,"nameZh":18,"description":244,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":245,"categories":246,"keywords":248,"publishedAt":240},"01M6ADZJ5G4PGD85N2CA05CJX2","power-bi-performance-troubleshooting","Systematic Power BI performance troubleshooting prompt for identifying, diagnosing, and resolving performance issues in Power BI models, reports, and queries.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpower-bi-performance-troubleshooting\u002FSKILL.md",[247],{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[249,223,250,251,227,228,252,231,233,253,254,255,239],"performance","power bi performance troubleshooting","troubleshooting","issues","models","queries","systematic",{"skillNo":257,"name":258,"nameZh":18,"description":259,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":260,"categories":261,"keywords":265,"publishedAt":240},"01M6ADZF8MYYM89VQ4VXAFW1TX","power-bi-model-design-review","Comprehensive Power BI data model design review prompt for evaluating model architecture, relationships, and optimization opportunities.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpower-bi-model-design-review\u002FSKILL.md",[262,263,264],{"categoryNo":211,"categoryName":212,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":21,"categoryName":22,"taxonomyType":11,"taxonomyTypeDesc":12},[222,266,267,223,268,269,227,228,270,271,272,273,231,274,275,239,276],"review","design review","power bi model design review","model","model design","architecture","Optimization","data","relationships","Model Architecture","data model",{"skillNo":278,"name":279,"nameZh":18,"description":280,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":281,"categories":282,"keywords":284,"publishedAt":240},"01M6ADZCADP6SGNBRJDRBG3HZJ","power-bi-dax-optimization","Comprehensive Power BI DAX formula optimization prompt for improving performance, readability, and maintainability of DAX calculations.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpower-bi-dax-optimization\u002FSKILL.md",[283],{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[285,286,223,272,287,227,228,249,231,288,289,290,239],"dax","dax optimization","power bi dax optimization","formula","readability","maintainability",{"skillNo":292,"name":293,"nameZh":18,"description":294,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":295,"categories":296,"keywords":298,"publishedAt":240},"01M6ADZ9H8EFWT240HFTNVGM7F","power-apps-code-app-scaffold","Scaffold a complete Power Apps Code App project with PAC CLI setup, SDK integration, and connector configuration","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpower-apps-code-app-scaffold\u002FSKILL.md",[297],{"categoryNo":10,"categoryName":13,"taxonomyType":11,"taxonomyTypeDesc":12},[299,300,301,302,227,303,304,305,306,307,308,309,310,311,312,238],"power apps","scaffold","code","power apps code app scaffold","app","apps","cli","sdk","setup","integration","Connector","configuration","project","complete",{"skillNo":314,"name":315,"nameZh":18,"description":316,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":317,"categories":318,"keywords":320,"publishedAt":240},"01M6ADZ6HS53T056314SFRJP6K","postgresql-optimization","PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range\u002Fgeometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpostgresql-optimization\u002FSKILL.md",[319],{"categoryNo":28,"categoryName":29,"taxonomyType":11,"taxonomyTypeDesc":12},[321,272,322,323,324,325,326,273,327,328,329,330,331,332,333,334,335,336,337],"postgresql","postgresql optimization","assistant","development","capabilities","search","text","operations","functions","full","types","advanced","ecosystem","extensions","features","window","custom",{"skillNo":339,"name":340,"nameZh":18,"description":341,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":342,"categories":343,"keywords":349,"publishedAt":240},"01M6ADZ3C8513NSZKBPVZYQ6JZ","postgresql-code-review","PostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS).","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpostgresql-code-review\u002FSKILL.md",[344,347,348],{"categoryNo":345,"categoryName":346,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":211,"categoryName":212,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":10,"categoryName":13,"taxonomyType":11,"taxonomyTypeDesc":12},[350,266,301,321,351,222,323,352,353,272,354,328,355,356,357,358,331,359,360,335,337,361],"code review","postgresql code review","security","best practices","quality","anti-patterns","schema","standards","code review assistant","rls","usage","postgresql best practices",{"skillNo":363,"name":364,"nameZh":18,"description":365,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":366,"categories":367,"keywords":368,"publishedAt":240},"01M6EY04WATQR2X52C1KCP35WQ","ponder","Convergent deliberation loop - repeated grading passes over one subject until the answer stops changing, with coverage enforced so no unit is silently skipped. Use when the user says \"ponder \u003Canything>\" (\"ponder the UI\", \"ponder our error handling\"), \"think this over properly\", \"keep thinking until it converges\", \"keep looping until it converges\", \"loop on this until it stops changing\", \"go through all the screens and grade them\", \"audit\u002Frate\u002Fgrade every X\", or asks for any broad sweep-and-grade across many units where a single pass would miss things. Also use to resume or recover a ponder already in flight - \"where were we\", \"carry on pondering\", a lost thread mid-loop, or a .ponder\u002F directory in the project - where the move is to run ponder status rather than start over.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fponder\u002FSKILL.md",[],[364,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,311,386,387,388,389,238,390,391,392],"directory","go","status","run","error handling","audit","ui","start","loop","sweep","coverage","use","resume","thinking","units","across","grading","keep","unit","error","move","rate","start over","when",{"skillNo":394,"name":395,"nameZh":18,"description":396,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":397,"categories":398,"keywords":404,"publishedAt":240},"01M6ADYZAT4BPTCS2Z7GV3QHKW","poka-yoke","Mistake-proof code so misuse cannot be expressed, rather than warning against it. Use when designing an interface, schema, or state machine and the user wants it hard to get wrong (\"make invalid states unrepresentable\", \"so callers cannot screw it up\", \"type-safe API\", \"pit of success\"); when auditing existing code for footguns (\"what could bite us here\", \"what is easy to misuse\", \"poka-yoke this repo\", \"review this diff for ways to get it wrong\"); or when a bug has recurred and the fix must close the class rather than the case (\"make sure this never happens again\", \"this is the third time\"). Especially for money, auth, permissions, deletion, migrations, and pipelines where failure is silent. Classifies every finding by what happens when the mistake occurs and how the device notices, which is what keeps it from collapsing into generic code review.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpoka-yoke\u002FSKILL.md",[399,400,403],{"categoryNo":345,"categoryName":346,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":401,"categoryName":402,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":10,"categoryName":13,"taxonomyType":11,"taxonomyTypeDesc":12},[405,350,266,406,407,370,408,155,409,410,411,412,301,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,392],"poka yoke","safe","typescript","python","rust","auth","sql","packages","permissions","state","https","examples","api","fix","never","up","scanner","time","get","invalid","states","interface","sure","which",{"skillNo":430,"name":431,"nameZh":18,"description":432,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":433,"categories":434,"keywords":439,"publishedAt":240},"01M6ADYX7HHG1NTFXXW0MZBQSM","playwright-generate-test","Generate a Playwright test based on a scenario using Playwright MCP","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fplaywright-generate-test\u002FSKILL.md",[435,438],{"categoryNo":436,"categoryName":437,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[440,441,442,443,444,445,446],"playwright","test","generate","playwright generate test","MCP","scenario","playwright mcp",{"skillNo":448,"name":449,"nameZh":18,"description":450,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":451,"categories":452,"keywords":455,"publishedAt":240},"01M6ADYTRZAK62TK054AGC87AZ","playwright-explore-website","Website exploration for testing using Playwright MCP","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fplaywright-explore-website\u002FSKILL.md",[453,454],{"categoryNo":436,"categoryName":437,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[440,456,457,458,459,444,460,446,239],"website","playwright explore website","explore","testing","exploration",{"skillNo":462,"name":463,"nameZh":18,"description":464,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":465,"categories":466,"keywords":469,"publishedAt":240},"01M6ADYRR84RQT6PYR7NXSH6JW","playwright-automation-fill-in-form","Automate filling in a form using Playwright MCP","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fplaywright-automation-fill-in-form\u002FSKILL.md",[467,468],{"categoryNo":436,"categoryName":437,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[470,440,471,472,473,444,474,446],"automation","playwright automation fill in form","form","fill","automate",{"skillNo":476,"name":477,"nameZh":18,"description":478,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":479,"categories":480,"keywords":481,"publishedAt":240},"01M6ADYNG5GTNZB69EAKG5YR3Q","plantuml-ascii","Generate ASCII art diagrams using PlantUML text mode. Use when user asks to create ASCII diagrams, text-based diagrams, terminal-friendly diagrams, or mentions plantuml ascii, text diagram, ascii art diagram. Supports: Converting PlantUML diagrams to ASCII art, Creating sequence diagrams, class diagrams, flowcharts in ASCII format, Generating Unicode-enhanced ASCII art with -utxt flag","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fplantuml-ascii\u002FSKILL.md",[],[482,483,484,485,486,487,442,488,327,489,490,380,491,492,493,494,495,496,497,392],"plantuml","plantuml ascii","ascii","terminal","diagram","create","Bash","read","write","ascii art","diagrams","Art","Unicode","mode","plantuml diagrams","sequence",{"skillNo":499,"name":500,"nameZh":18,"description":501,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":502,"categories":503,"keywords":505,"publishedAt":240},"01M6ADYJ8DAKJFC06AV94AQJTC","planning-oracle-to-postgres-migration-integration-testing","Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fplanning-oracle-to-postgres-migration-integration-testing\u002FSKILL.md",[504],{"categoryNo":436,"categoryName":437,"taxonomyType":58,"taxonomyTypeDesc":59},[459,506,507,308,508,509,510,511,441,512,513,514,321,273,515,516,379,517,518,311,428,392,519],"oracle","planning","planning oracle to postgres migration integration testing","migration","postgres","integration testing","validation","artifacts","database","plan","access","test coverage","testing plan","postgresql database",{"skillNo":521,"name":522,"nameZh":18,"description":523,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":524,"licenseFileUrl":18,"sourceHtmlUrl":525,"categories":526,"keywords":529,"publishedAt":240},"01M6ADYF8W0422TH7R3A4DD85B","pinecone-rag","Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say \"Pinecone\" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpinecone-rag\u002FSKILL.md",[527,528],{"categoryNo":401,"categoryName":402,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[530,531,532,408,533,534,535,536,537,538,539,540,541,514,542,326,543,544,545,546,547,384,548,549,550,551,552,392],"rag","pinecone rag","pinecone","memory","implement","storage","component","sessions","documents","semantic search","connect","agent memory","index","vector","knowledge","vector stores","only","databases","local","scaling","embedding","Hybrid Search","tenant",{"skillNo":554,"name":555,"nameZh":18,"description":556,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":18,"sourceHtmlUrl":557,"categories":558,"keywords":561,"publishedAt":240},"01M6ADYCFXMEDRETGERE77J0TP","php-mcp-server-generator","Generate a complete PHP Model Context Protocol server project with tools, resources, prompts, and tests using the official PHP SDK","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fphp-mcp-server-generator\u002FSKILL.md",[559,560],{"categoryNo":401,"categoryName":402,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[444,562,563,564,565,566,306,567,568,442,569,570,269,571,311,572,312,573,238,574],"mcp server","server","php mcp server generator","php","generator","model context protocol","official","protocol","Tools","context","tests","resources","with tools",{"skillNo":576,"name":577,"nameZh":18,"description":578,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":524,"licenseFileUrl":18,"sourceHtmlUrl":579,"categories":580,"keywords":581,"publishedAt":240},"01M6ADY7MGD7248ENTDFR6CEH1","phoenix-tracing","OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fphoenix-tracing\u002FSKILL.md",[],[582,583,584,407,408,585,586,563,587,588,380,589,590,591,592,593,594,239,337,392],"tracing","Phoenix","phoenix tracing","otel","observability","Arize","Production","instrumentation","conventions","semantic","oss","deploying to production","implementing",{"skillNo":596,"name":597,"nameZh":18,"description":598,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":524,"licenseFileUrl":18,"sourceHtmlUrl":599,"categories":600,"keywords":601,"publishedAt":240},"01M6ADY2WQ603NB1ZGDXNV6K1A","phoenix-evals","Build and run evaluators for AI\u002FLLM applications using Phoenix.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fphoenix-evals\u002FSKILL.md",[],[583,602,603,407,408,412,372,125,563,587,604,605,606,592,607,239],"phoenix evals","evals","applications","build","client","LLM Applications",63,18]