[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:creators9":95,"skills:stats":193,"skills:all:stars:78:":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,[],{"records":96,"total":191,"current":11,"size":192},[97,111,120,130,140,150,160,169,179],{"accountNo":98,"login":99,"displayName":100,"avatarUrl":101,"accountType":102,"accountTypeDesc":103,"profileDescription":104,"skillCount":105,"repoCount":106,"professionCount":107,"scenarioCount":108,"totalStars":109,"updatedAt":110},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4166,229,11,7,828075,"2026-11-12 04:48:47",{"accountNo":112,"login":113,"displayName":113,"avatarUrl":114,"accountType":102,"accountTypeDesc":103,"profileDescription":115,"skillCount":116,"repoCount":117,"professionCount":108,"scenarioCount":108,"totalStars":118,"updatedAt":119},"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":121,"login":122,"displayName":123,"avatarUrl":124,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":125,"repoCount":126,"professionCount":108,"scenarioCount":127,"totalStars":128,"updatedAt":129},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,341786,"2026-11-12 03:20:15",{"accountNo":131,"login":132,"displayName":133,"avatarUrl":134,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":135,"repoCount":136,"professionCount":137,"scenarioCount":108,"totalStars":138,"updatedAt":139},"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":141,"login":142,"displayName":143,"avatarUrl":144,"accountType":102,"accountTypeDesc":103,"profileDescription":145,"skillCount":146,"repoCount":147,"professionCount":107,"scenarioCount":108,"totalStars":148,"updatedAt":149},"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":151,"login":152,"displayName":153,"avatarUrl":154,"accountType":102,"accountTypeDesc":103,"profileDescription":155,"skillCount":156,"repoCount":157,"professionCount":107,"scenarioCount":108,"totalStars":158,"updatedAt":159},"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":161,"login":162,"displayName":163,"avatarUrl":164,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":165,"repoCount":166,"professionCount":107,"scenarioCount":108,"totalStars":167,"updatedAt":168},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,231455,"2026-11-12 03:40:35",{"accountNo":170,"login":171,"displayName":172,"avatarUrl":173,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":174,"repoCount":175,"professionCount":176,"scenarioCount":108,"totalStars":177,"updatedAt":178},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,187999,"2026-11-12 03:17:01",{"accountNo":180,"login":181,"displayName":182,"avatarUrl":183,"accountType":184,"accountTypeDesc":185,"profileDescription":186,"skillCount":187,"repoCount":188,"professionCount":127,"scenarioCount":108,"totalStars":189,"updatedAt":190},"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",1905,9,{"skillCount":194,"professionCount":107,"scenarioCount":108,"creatorCount":191},196628,{"records":196,"total":194,"current":604,"size":605},[197,222,237,263,280,288,311,343,376,405,434,453,477,497,518,539,569,587],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":205,"categories":206,"keywords":207,"publishedAt":221},"01M6AD7SA5YNX1HKC06B0JZWV0","az-cost-optimize","Analyze Azure resources used in the app (IaC files and\u002For resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.","github\u002Fawesome-copilot","01M6AD3PBDYPK7NVFJNJ66Y8RS",41046,"MIT","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Faz-cost-optimize\u002FSKILL.md",[],[208,209,210,152,211,212,213,214,215,216,217,218,219,220],"az cost optimize","cost","optimize","azure","github issues","issues","analyze","iac","files","app","resources","rg","for","2026-11-10 10:12:30",{"skillNo":223,"name":224,"nameZh":13,"description":225,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":226,"categories":227,"keywords":228,"publishedAt":221},"01M6AD7PFXR9KKV3JGKE3H6E2Y","aws-well-architected-review","Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Faws-well-architected-review\u002FSKILL.md",[],[229,230,231,232,233,152,234,235,212,213,236,215,220],"review","aws well architected review","well architected","aws","aws well architected","architecture","workload","framework",{"skillNo":238,"name":239,"nameZh":13,"description":240,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":241,"categories":242,"keywords":243,"publishedAt":221},"01M6AD7KXC2KQEFDMKVJDPFAFZ","aws-resource-query","Query AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Faws-resource-query\u002FSKILL.md",[],[244,232,245,246,247,248,249,250,251,252,253,254,255,256,257,218,258,259,260,261,262],"aws resource query","resource query","query","networking","messaging","s3","iam","eks","lambda","vpc","secrets","read","only","natural language","ecs","read-only","rds","secrets manager","manager",{"skillNo":264,"name":265,"nameZh":13,"description":266,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":267,"categories":268,"keywords":269,"publishedAt":221},"01M6AD7GN00X1PHT53624ZMA08","aws-resource-health-diagnose","Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Faws-resource-health-diagnose\u002FSKILL.md",[],[270,271,232,272,273,213,274,275,276,277,214,278,279,220],"diagnose","aws resource health diagnose","health","create","metrics","logs","remediation","plan","cloudwatch","remediation plan",{"skillNo":281,"name":282,"nameZh":13,"description":283,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":284,"categories":285,"keywords":286,"publishedAt":221},"01M6AD7DXZN838XC05PGSNCEJR","aws-cost-optimize","Analyze AWS resources used in the app (IaC files and\u002For resources in a target account\u002Fregion) and optimize costs - creating GitHub issues for identified optimizations.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Faws-cost-optimize\u002FSKILL.md",[],[287,232,209,210,152,212,213,214,215,216,217,218,220],"aws cost optimize",{"skillNo":289,"name":290,"nameZh":13,"description":291,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":292,"categories":293,"keywords":294,"publishedAt":221},"01M6AD7BH2PNJ1FQF9BVB6T9BR","aws-cloudwatch-investigation","Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns for structured incident triage.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Faws-cloudwatch-investigation\u002FSKILL.md",[],[295,232,296,297,278,298,299,275,300,301,302,303,246,304,305,306,307,308,220,309,310],"aws cloudwatch investigation","investigation","aws cloudwatch","triage","deployment","radius","decision","reusable","patterns","incident","style","insights","blast-radius","tree","promql","metric",{"skillNo":312,"name":313,"nameZh":13,"description":314,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":315,"categories":316,"keywords":323,"publishedAt":221},"01M6AD78VJJKY5YQX4N17GBAC1","aws-cdk-python-setup","Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Faws-cdk-python-setup\u002FSKILL.md",[317,320],{"categoryNo":318,"categoryName":319,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":321,"categoryName":322,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000023","Skill与智能体开发",[324,325,326,232,327,328,329,330,273,331,332,333,334,335,336,337,338,339,340,220,341,342],"python","setup","aws cdk python setup","aws cdk","cdk","deploy","development","cloud","applications","configure","projects","environment","guide","manage dependencies","manage","users","kit","initialization","new",{"skillNo":344,"name":345,"nameZh":13,"description":346,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":347,"categories":348,"keywords":354,"publishedAt":221},"01M6AD75Q76YWWXY8ZQKY82PEE","autoresearch","Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping\u002Fdiscarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fautoresearch\u002FSKILL.md",[349,352,353],{"categoryNo":350,"categoryName":351,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":321,"categoryName":322,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},[345,355,356,229,357,152,358,359,360,361,362,363,364,274,365,366,367,368,369,370,371,372,210,373,374,375],"code review","testing","terminal","performance","research","experiments","tasks","run","code","git","https","repository","loop","access","autonomous","karpathy","auto","bug","project","scope","guides",{"skillNo":377,"name":378,"nameZh":13,"description":379,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":380,"categories":381,"keywords":386,"publishedAt":221},"01M6AD7327B9GAA9Y99CQQFSZ3","automate-this","Analyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fautomate-this\u002FSKILL.md",[382,385],{"categoryNo":383,"categoryName":384,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":321,"categoryName":322,"taxonomyType":53,"taxonomyTypeDesc":54},[387,388,389,390,391,392,393,394,395,214,396,216,397,398,399,400,401,402,403,404],"automate this","automate","workflow","automation","produce","screen recording","Tools","Video","Audio","complexity","narration","screen","scripts","machine","automation scripts","recording","manual","at",{"skillNo":406,"name":407,"nameZh":13,"description":408,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":409,"categories":410,"keywords":412,"publishedAt":221},"01M6AD6ZWKXVC9NVFKG91WCSQA","audit-integrity","Enforce output quality, evidence verification, and quality gates across security audits. Use this skill when you perform SAST, SCA, threat modeling, or security code reviews. Use this skill to verify code locations and taint traces for all findings. Use this skill to prevent the suppression of valid security findings. Use this skill to evaluate reports against quality thresholds (score ≥ 8\u002F10) before delivery.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Faudit-integrity\u002FSKILL.md",[411],{"categoryNo":321,"categoryName":322,"taxonomyType":53,"taxonomyTypeDesc":54},[413,414,415,416,417,418,419,420,363,421,422,423,424,425,426,427,428,429,430,431,432,220,433],"audit","audit integrity","integrity","sast","security","threat modeling","valid","quality gates","verification","verify","use","evidence","reports","enforce","across","gates","thresholds","output","you","reviews","when",{"skillNo":435,"name":436,"nameZh":13,"description":437,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":438,"categories":439,"keywords":444,"publishedAt":221},"01M6AD6Y0C01905B2D6VA8HX61","aspnet-minimal-api-openapi","Create ASP.NET Minimal API endpoints with proper OpenAPI documentation","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Faspnet-minimal-api-openapi\u002FSKILL.md",[440,443],{"categoryNo":441,"categoryName":442,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},[445,446,447,448,449,450,273,451,452],"aspnet minimal api openapi","openapi","api","minimal","aspnet","documentation","endpoints","with",{"skillNo":454,"name":455,"nameZh":13,"description":456,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":457,"categories":458,"keywords":462,"publishedAt":221},"01M6AD6TPVN5GB7V84HV6J4ZMP","aspire","Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Faspire\u002FSKILL.md",[459,460,461],{"categoryNo":318,"categoryName":319,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":321,"categoryName":322,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},[455,463,464,152,465,466,467,468,469,329,470,471,472,299,273,362,363,473,474,475,333,476,423,433],"MCP","cli","containers","mcp server","orchestration","dashboard","troubleshoot","debug","distributed","codespaces","dev","server","discovery","integrations",{"skillNo":478,"name":479,"nameZh":13,"description":480,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":481,"categories":482,"keywords":484,"publishedAt":221},"01M6AD6QX68MD6M35AXSQWKQDA","arize-trace","Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Farize-trace\u002FSKILL.md",[483],{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},[485,486,487,464,488,470,213,489,490,214,423,491,492,493,494,217,495,404,496,433],"arize trace","Arize","trace","sessions","downloads","data","export","root-cause","runtime","ax","errors","Existing",{"skillNo":498,"name":499,"nameZh":13,"description":500,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":501,"categories":502,"keywords":504,"publishedAt":221},"01M6AD6N6EFXSNEX77VD7BKA89","arize-prompt-optimization","Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Farize-prompt-optimization\u002FSKILL.md",[503],{"categoryNo":321,"categoryName":322,"taxonomyType":53,"taxonomyTypeDesc":54},[505,506,486,507,508,464,509,358,490,510,511,367,512,210,494,513,514,515,516,517,433],"arize prompt optimization","Optimization","prompt","Prompt Optimization","prompt engineering","tuning","improve","annotations","respond","make","system prompt","improvement","data-driven",{"skillNo":519,"name":520,"nameZh":13,"description":521,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":522,"categories":523,"keywords":524,"publishedAt":221},"01M6AD6K0YXSC4WNX6JJX0NPCY","arize-link","Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset, evaluator, or annotation config in the Arize UI.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Farize-link\u002FSKILL.md",[],[525,486,526,488,527,528,529,530,531,532,423,533,534,535,536,218,452,537,220,538,433],"arize link","link","config","ui","sharing","open","team","session","datasets","deep","dataset","evaluator","links","traces",{"skillNo":540,"name":541,"nameZh":13,"description":542,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":543,"categories":544,"keywords":546,"publishedAt":221},"01M6AD6G4H0G83QKH9FTDTWKRR","arize-instrumentation","Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Farize-instrumentation\u002FSKILL.md",[545],{"categoryNo":321,"categoryName":322,"taxonomyType":53,"taxonomyTypeDesc":54},[547,486,548,549,550,551,324,552,553,554,325,555,556,557,365,558,559,560,561,214,562,371,563,564,565,566,494,217,567,568,433],"arize instrumentation","instrumentation","docs","typescript","go","sdk","implement","javascript","packages","observability","java","tracing","flow","OpenTelemetry","SET","confirmation","integrate","up","time","get","apps","phase",{"skillNo":570,"name":571,"nameZh":13,"description":572,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":573,"categories":574,"keywords":575,"publishedAt":221},"01M6AD6DHM1BN1QAVAKGKY81B0","arize-experiment","Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, compare models, model performance, evaluate AI, experiment results, benchmark, A\u002FB test models, or measure accuracy.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Farize-experiment\u002FSKILL.md",[],[576,486,577,464,358,578,579,360,273,362,580,581,582,583,423,494,584,220,585,433,586],"arize experiment","experiment","test","workflows","benchmark","Evaluation","crud","model","run experiment","accuracy","create experiment",{"skillNo":588,"name":589,"nameZh":13,"description":590,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":591,"categories":592,"keywords":594,"publishedAt":221},"01M6AD6ACMA40AS2DWSRRW8QT3","arize-evaluator","Handles LLM-as-judge evaluation workflows on Arize including creating\u002Fupdating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Farize-evaluator\u002FSKILL.md",[593],{"categoryNo":321,"categoryName":322,"taxonomyType":53,"taxonomyTypeDesc":54},[595,486,536,464,579,360,596,361,273,362,597,598,581,599,511,600,577,494,601,602,433,603],"arize evaluator","run eval","integration","monitoring","llm judge","eval","mapping","judge","LLM-as-Judge",78,18]