[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:stats":95,"skills:creators9":100,"skills:all:stars:80:":195},[4,15,22,29,36,43],{"categoryNo":5,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":8,"categoryNameEn":9,"description":10,"level":11,"skillCount":12,"parentNo":13,"parentName":13,"children":14},"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":16,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":17,"categoryNameEn":18,"description":19,"level":11,"skillCount":20,"parentNo":13,"parentName":13,"children":21},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7776,[],{"categoryNo":23,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":24,"categoryNameEn":25,"description":26,"level":11,"skillCount":27,"parentNo":13,"parentName":13,"children":28},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4988,[],{"categoryNo":30,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":31,"categoryNameEn":32,"description":33,"level":11,"skillCount":34,"parentNo":13,"parentName":13,"children":35},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3940,[],{"categoryNo":37,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":38,"categoryNameEn":39,"description":40,"level":11,"skillCount":41,"parentNo":13,"parentName":13,"children":42},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3449,[],{"categoryNo":44,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":45,"categoryNameEn":46,"description":47,"level":11,"skillCount":48,"parentNo":13,"parentName":13,"children":49},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3317,[],[51,60,67,74,81,88],{"categoryNo":52,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":55,"categoryNameEn":56,"description":57,"level":11,"skillCount":58,"parentNo":13,"parentName":13,"children":59},"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":61,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":62,"categoryNameEn":63,"description":64,"level":11,"skillCount":65,"parentNo":13,"parentName":13,"children":66},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26546,[],{"categoryNo":68,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":69,"categoryNameEn":70,"description":71,"level":11,"skillCount":72,"parentNo":13,"parentName":13,"children":73},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13572,[],{"categoryNo":75,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":76,"categoryNameEn":77,"description":78,"level":11,"skillCount":79,"parentNo":13,"parentName":13,"children":80},"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":82,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":83,"categoryNameEn":84,"description":85,"level":11,"skillCount":86,"parentNo":13,"parentName":13,"children":87},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6033,[],{"categoryNo":89,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":90,"categoryNameEn":91,"description":92,"level":11,"skillCount":93,"parentNo":13,"parentName":13,"children":94},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5531,[],{"skillCount":96,"professionCount":97,"scenarioCount":98,"creatorCount":99},196628,11,7,1905,{"records":101,"total":99,"current":11,"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":97,"scenarioCount":98,"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":98,"scenarioCount":98,"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":13,"skillCount":128,"repoCount":129,"professionCount":98,"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":13,"skillCount":138,"repoCount":139,"professionCount":140,"scenarioCount":98,"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":97,"scenarioCount":98,"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":97,"scenarioCount":98,"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":13,"skillCount":168,"repoCount":169,"professionCount":97,"scenarioCount":98,"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":13,"skillCount":177,"repoCount":178,"professionCount":179,"scenarioCount":98,"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":98,"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":96,"current":606,"size":607},[197,232,264,290,305,344,373,395,415,451,477,494,508,535,556,567,577,589],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":205,"sourceHtmlUrl":206,"categories":207,"keywords":214,"publishedAt":231},"01M6AD4JM0JR35TFEKESSD940D","agent-architecture","Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review.","github\u002Fawesome-copilot","01M6AD3PBDYPK7NVFJNJ66Y8RS",41046,"MIT","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fagent-architecture\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fagent-architecture\u002FSKILL.md",[208,211],{"categoryNo":209,"categoryName":210,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000023","Skill与智能体开发",[215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230],"architecture","agent architecture","code review","design","review","ai agent","diagnose","code","audit","discovery","only","implementation","general","requirements","architectures","Existing","2026-11-10 10:12:30",{"skillNo":233,"name":234,"nameZh":13,"description":235,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":236,"categories":237,"keywords":239,"publishedAt":231},"01M6AD4FRA8D5JKFDX5N70PHV5","adobe-illustrator-scripting","Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript\u002FJSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fadobe-illustrator-scripting\u002FSKILL.md",[238],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263],"adobe illustrator scripting","scripting","adobe","automation","javascript","workflows","debug","documents","best practices","system","text","model","write","export","coordinate","optimize","objects","scripts","paths","automation scripts","measurement","layers","jsx","when",{"skillNo":265,"name":266,"nameZh":13,"description":267,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":268,"categories":269,"keywords":271,"publishedAt":231},"01M6M1G82NRJ9J0E4RT5SK2WZD","adobe-illustrator-integrations","Build, debug, package, and document Adobe Illustrator integrations: CEP extension panels, C++ SDK plug-ins (.aip), the coming UXP plugins, MCP servers that drive Illustrator, computer-use automation, and OS scripts (batch, PowerShell, bash, AppleScript) that run ExtendScript in Illustrator. Use when creating or fixing an Illustrator extension or plug-in, choosing between a script, extension, or plug-in, connecting an AI tool to Illustrator, automating Illustrator from the command line, or writing install and usage docs for an Illustrator tool someone will publish. Pairs with adobe-illustrator-scripting for the ExtendScript DOM.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fadobe-illustrator-integrations\u002FSKILL.md",[270],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[272,242,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,257,288,289,263],"integrations","adobe illustrator integrations","MCP","writing","run","batch","publish","powershell","Bash","computer","command","install","c++","os","line","panels","usage","aip",{"skillNo":291,"name":292,"nameZh":13,"description":293,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":294,"categories":295,"keywords":297,"publishedAt":231},"01M6AD4DGQ8G308Y8V9N1P6YJ2","add-educational-comments","Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fadd-educational-comments\u002FSKILL.md",[296],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[298,299,300,301,302,303,304],"add educational comments","Educational","add","comments","file","prompt","for",{"skillNo":306,"name":307,"nameZh":13,"description":308,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":309,"categories":310,"keywords":319,"publishedAt":231},"01M6AD4AHVCGFFG200AAH648CQ","ad-campaign-analyzer","Use this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like \"analyze my ad campaigns\", \"where am I wasting ad spend\", \"reallocate my ad budget\", \"which ads are actually working\", or \"ROAS analysis\". Do not trigger for campaign planning or creative generation without performance data.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fad-campaign-analyzer\u002FSKILL.md",[311,314,315,316],{"categoryNo":312,"categoryName":313,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":37,"categoryName":38,"taxonomyType":6,"taxonomyTypeDesc":7},{"categoryNo":317,"categoryName":318,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000040","财务",[320,321,322,323,145,155,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,263],"ad campaign analyzer","campaign","ad","analyzer","performance","test","planning","reasoning","screenshot","https","csv","network","data","Meta","Budget","analysis","api","ads","analyze","cut","external tools","paste","which","api keys",{"skillNo":345,"name":346,"nameZh":13,"description":347,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":348,"categories":349,"keywords":353,"publishedAt":231},"01M6AD488C5N4SGDE6D95F14XT","acreadiness-policy","Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact\u002Flevel, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Facreadiness-policy\u002FSKILL.md",[350],{"categoryNo":351,"categoryName":352,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000009","前端开发",[354,355,356,357,358,359,360,361,225,362,363,364,365,366,367,368,369,370,263,371,372],"policy","acreadiness policy","frontend","help","ci","team","pick","use","show","scoring","thresholds","impact","with","mode","custom","apply","gating","overrides","new",{"skillNo":374,"name":375,"nameZh":13,"description":376,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":377,"categories":378,"keywords":380,"publishedAt":231},"01M6AD460VR0XNKGSEYWS7XK8Y","acreadiness-generate-instructions","Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github\u002Fcopilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running \u002Facreadiness-assess to close gaps in the AI Tooling pillar.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Facreadiness-generate-instructions\u002FSKILL.md",[379],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[381,382,383,155,220,384,276,222,385,361,386,387,388,389,390,391,366,392,304,369,393,394],"generate","acreadiness generate instructions","instructions","copilot","strategy","files","ai tooling","default","dry","assess","output","claude-md","gaps","running",{"skillNo":396,"name":397,"nameZh":13,"description":398,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":399,"categories":400,"keywords":402,"publishedAt":231},"01M6AD436YXYC5DD57FWCFCZ0E","acreadiness-assess","Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports\u002Findex.html. Wraps `npx github:microsoft\u002Fagentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Facreadiness-assess\u002FSKILL.md",[401],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[403,390,155,354,404,104,405,276,406,407,223,408,409,361,410,411,363,412,413,304,368,414,263],"acreadiness assess","dashboard","assessment","produce","index","repository","repo","reports","npx","readiness","ai readiness","static",{"skillNo":416,"name":417,"nameZh":13,"description":418,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":419,"categories":420,"keywords":429,"publishedAt":231},"01M6AD3ZGKVB7HRRP6W2B50DYD","acquire-codebase-knowledge","Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like \"map this codebase\", \"document this architecture\", \"onboard me to this repo\", or \"create codebase docs\". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Facquire-codebase-knowledge\u002FSKILL.md",[421,424,427,428],{"categoryNo":422,"categoryName":423,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":425,"categoryName":426,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":44,"categoryName":45,"taxonomyType":6,"taxonomyTypeDesc":7},[430,431,432,433,434,435,436,437,324,438,215,439,440,441,276,222,442,443,408,358,444,225,445,446,447,448,449,450,263],"acquire codebase knowledge","knowledge","acquire","codebase","testing","docs","python","security","orchestration","config","performance testing","create","git","metrics","pipeline","feature implementation","me","map","focus","project","markers",{"skillNo":452,"name":453,"nameZh":13,"description":454,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":455,"categories":456,"keywords":460,"publishedAt":231},"01M6AD3X0RQ80BSQSP8CBWPE60","create-canvas-extension","Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions\u002F; shippable plugin manifests belong under plugins\u002F.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fcreate-canvas-extension\u002FSKILL.md",[457],{"categoryNo":458,"categoryName":459,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000015","视觉设计",[461,462,441,463,464,465,384,466,467,468,408,469,470,361,471,472,473,474,475,476,263,372],"canvas","create canvas","create canvas extension","extension","scaffold","plugin","metadata","plugins","migrate","json","reusable","name","register","more","extensions","manifests",{"skillNo":478,"name":479,"nameZh":13,"description":480,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":481,"categories":482,"keywords":485,"publishedAt":231},"01M6AD3TK67TPQ629DXNDY8PPP","code-review","Review pull requests for repository fit, meaningful value, trustworthy provenance, differentiation, and maintainability in awesome-copilot.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fcode-review\u002FSKILL.md",[483,484],{"categoryNo":209,"categoryName":210,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},[217,219,222,486,384,487,408,488,489,490,491,492,304,493],"pull requests","pull","provenance","maintainability","fit","differentiation","requests","value",{"skillNo":495,"name":496,"nameZh":13,"description":497,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":155,"ownerAvatarUrl":157,"ownerAccountNo":154,"ownerDisplayName":156,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":498,"categories":499,"keywords":500,"publishedAt":231},"01M6AD3R6N3VFC26AEETNBWK24","agentic-workflows","Route gh-aw workflow design\u002Fcreate\u002Fdebug\u002Fupgrade requests to the right prompts.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fagentic-workflows\u002FSKILL.md",[],[501,245,502,218,503,246,441,504,505,506,507,492],"agentic","agentic workflows","workflow","gh","prompts","route","upgrade",{"skillNo":509,"name":510,"nameZh":13,"description":511,"descriptionZh":13,"repositoryFullName":512,"ownerLogin":145,"ownerAvatarUrl":147,"ownerAccountNo":144,"ownerDisplayName":146,"repositoryNo":513,"starsCount":514,"licenseSpdxId":515,"licenseFileUrl":13,"sourceHtmlUrl":516,"categories":517,"keywords":522,"publishedAt":231},"01M698WFXH9WDGGWSXB1W66X5Z","langextract-usage","How to use LangExtract to extract structured information from text. Use when writing code that calls lx.extract(), building extraction pipelines, defining examples, or troubleshooting alignment issues.","google\u002Flangextract","01M698WE0D9CJM711V3F1KMGQ9",39304,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Flangextract\u002Fblob\u002Fmain\u002Fskills\u002Flangextract-usage\u002FSKILL.md",[518,521],{"categoryNo":519,"categoryName":520,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":30,"categoryName":31,"taxonomyType":6,"taxonomyTypeDesc":7},[523,275,222,524,525,526,527,250,528,529,361,530,531,532,533,534],"langextract usage","issues","extraction","examples","how","troubleshooting","extract","pipelines","alignment","structured","how 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