[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:creators9":95,"skills:stats":193,"skills:all:stars:35:":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 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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":362,"size":363},[197,226,237,253,262,277,291,298,305,310,316,322,327,334,341,346,352,357],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":205,"categories":206,"keywords":216,"publishedAt":225},"01M699D4FED8795YBASFS3HHDT","testing-course-samples","Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry \u002F Azure OpenAI configuration. Covers environment setup (.env, az login, packages), the scripts\u002Fvalidate-notebooks.ps1 runner, interpreting PASS\u002FFAIL results, and which lessons need extra resources (Azure AI Search, GitHub MCP, Foundry Local, Playwright).","microsoft\u002Fai-agents-for-beginners","01M6998ZK2275KMJE6Y5SEA2X2",79423,"MIT","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fen\u002F.agents\u002Fskills\u002Ftesting-course-samples\u002FSKILL.md",[207,210,213],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":214,"categoryName":215,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000039","教师与教育",[217,218,219,152,220,221,99,222,223,224],"testing","testing course samples","MCP","playwright","test","foundry","foundry local","microsoft foundry","2026-11-10 10:12:30",{"skillNo":227,"name":228,"nameZh":13,"description":229,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":230,"categories":231,"keywords":233,"publishedAt":225},"01M699D21WMN5NMJXBMKGTNXQV","microsoft-docs","Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fen\u002F.agents\u002Fskills\u002Fmicrosoft-docs\u002FSKILL.md",[232],{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},[234,99,235,219,152,236],"docs","microsoft docs","agent framework",{"skillNo":238,"name":239,"nameZh":13,"description":240,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":241,"categories":242,"keywords":247,"publishedAt":225},"01M699CZP34NXNF5KTP5J4ZN63","local-ai-agents","Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud\u002Flocal routing, and the privacy\u002Fcost\u002Foffline trade-offs. Based on Lesson 17 of AI Agents for Beginners. USE FOR: run an agent locally, offline agent, on-device agent, Foundry Local, Qwen function calling, local tool calling, local RAG, Chroma vector database, local MCP server, privacy-preserving agent, hybrid local and cloud agent, small language model agent, engineering assistant on my machine. DO NOT USE FOR: deploying agents to the cloud at scale (use deploying-scalable-agents \u002F Lesson 16), building your first agent concept (Lesson 01), Foundry (cloud) hosted agents, GPU cluster \u002F server-side inference provisioning.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fen\u002F.agents\u002Fskills\u002Flocal-ai-agents\u002FSKILL.md",[243,246],{"categoryNo":244,"categoryName":245,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},[248,249,250,251,99,222,223,224,252,219],"ai agents","local ai agents","inference","mcp server","assistant",{"skillNo":254,"name":255,"nameZh":13,"description":256,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":257,"categories":258,"keywords":259,"publishedAt":225},"01M699CWRDQ1AMAZJEF44VQ1J0","jupyter-notebook","Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fen\u002F.agents\u002Fskills\u002Fjupyter-notebook\u002FSKILL.md",[],[260,261],"jupyter notebook","experiments",{"skillNo":263,"name":264,"nameZh":13,"description":265,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":266,"categories":267,"keywords":270,"publishedAt":225},"01M699CSN0BS8MXRR5YKK8DMS0","deploying-scalable-agents","Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy an agent to production, scale an agent, Microsoft Foundry hosted agent, Foundry Agent Service, model routing, response caching, evaluation gate, release gate, human approval workflow, agent observability, agent tracing, agent cost optimisation, smoke test a hosted agent, production customer support agent. DO NOT USE FOR: building your first agent (start with Lesson 01), running agents locally on-device (use local-ai-agents \u002F Lesson 17), Azure infrastructure provisioning unrelated to agents, non-Foundry deployment targets.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fen\u002F.agents\u002Fskills\u002Fdeploying-scalable-agents\u002FSKILL.md",[268,269],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},[271,272,217,248,273,274,275,221,99,222,224,276],"deploying scalable agents","workflow","prototype","customer","support","workflows",{"skillNo":278,"name":279,"nameZh":13,"description":280,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":281,"categories":282,"keywords":284,"publishedAt":225},"01M699CPV2ADW8YATBNKBEJGYJ","azure-openai-to-responses","Migrate Python apps from Azure OpenAI Chat Completions to the Responses API. Covers AzureOpenAI\u002FAsyncAzureOpenAI client migration to the v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, and model compatibility checks. Python-focused, Azure OpenAI-specific. USE FOR: migrate to responses API, switch from chat completions, openai responses, upgrade openai SDK, responses API migration, move from completions to responses, gpt-5 migration, azure openai python migration, chat completions to responses, AzureOpenAI to OpenAI client, python azure openai upgrade. DO NOT USE FOR: building new apps from scratch (start with responses directly), Node\u002FTypeScript\u002FC#\u002FJava\u002FGo migrations (this skill is Python-only), Azure infrastructure setup (use azure-prepare), deploying models (use microsoft-foundry).","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fen\u002F.agents\u002Fskills\u002Fazure-openai-to-responses\u002FSKILL.md",[283],{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},[285,286,287,288,289,99,222,290],"azure openai to responses","typescript","go","python","sdk","auth",{"skillNo":292,"name":199,"nameZh":13,"description":13,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":293,"categories":294,"keywords":297,"publishedAt":225},"01M699CKME6PNV7EEN99TJWA2B","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fel\u002F.agents\u002Fskills\u002Ftesting-course-samples\u002FSKILL.md",[295,296],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":214,"categoryName":215,"taxonomyType":6,"taxonomyTypeDesc":7},[217,218],{"skillNo":299,"name":228,"nameZh":13,"description":300,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":301,"categories":302,"keywords":304,"publishedAt":225},"01M699CHARVT69E2QXN8ZEWJGW","Αναζητήστε επίσημη τεκμηρίωση της Microsoft για να βρείτε έννοιες, εκπαιδευτικά προγράμματα και παραδείγματα κώδικα σε Azure, .NET, Agent Framework, Aspire, VS Code, GitHub και άλλα. Χρησιμοποιεί το Microsoft Learn MCP ως προεπιλογή, με Context7 και Aspire MCP για περιεχόμενο που βρίσκεται εκτός του learn.microsoft.com.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fel\u002F.agents\u002Fskills\u002Fmicrosoft-docs\u002FSKILL.md",[303],{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},[234,99,235,219,236,152],{"skillNo":306,"name":239,"nameZh":13,"description":13,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":307,"categories":308,"keywords":309,"publishedAt":225},"01M699CFBTSD4HS8H2PBH8M2S2","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fel\u002F.agents\u002Fskills\u002Flocal-ai-agents\u002FSKILL.md",[],[248,249],{"skillNo":311,"name":255,"nameZh":13,"description":312,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":313,"categories":314,"keywords":315,"publishedAt":225},"01M699CD3YNBTWJT3XAZ5NV7DC","Χρησιμοποιήστε όταν ο χρήστης ζητά να δημιουργήσει, να δομήσει ή να επεξεργαστεί σημειωματάρια Jupyter (`.ipynb`) για πειράματα, εξερευνήσεις ή σεμινάρια; προτιμήστε τα συνημμένα πρότυπα και εκτελέστε το βοηθητικό σκριπτ `new_notebook.py` για να δημιουργήσετε ένα καθαρό αρχικό σημειωματάριο.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fel\u002F.agents\u002Fskills\u002Fjupyter-notebook\u002FSKILL.md",[],[260],{"skillNo":317,"name":264,"nameZh":13,"description":318,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":319,"categories":320,"keywords":321,"publishedAt":225},"01M699CAWQKV7X2QE0Z57GJHEY","Λάβετε ένα λειτουργικό πρωτότυπο πράκτορα σε μια κλιμακούμενη, παρατηρήσιμη παραγωγική ανάπτυξη στο Microsoft Foundry. Καλύπτει πρότυπα ανάπτυξης (πελάτης-φιλοξενούμενος, φιλοξενούμενοι πράκτορες, ροές εργασίας πρακτόρων), τον κύκλο ζωής του πράκτορα, δρομολόγηση μοντέλου, προσωρινή αποθήκευση απαντήσεων, πύλες αξιολόγησης, την έγκριση από άνθρωπο στη ροή, παρατηρησιμότητα με OpenTelemetry, βελτιστοποίηση κόστους και δοκιμή καπνού των αναπτυγμένων πρακτόρων με τη δράση AI Smoke Test. Βασίζεται στο Μάθημα 16 των AI Agents for Beginners. ΧΡΗΣΙΜΟΠΟΙΗΣΤΕ ΓΙΑ: ανάπτυξη ενός πράκτορα σε παραγωγή, κλιμάκωση πράκτορα, φιλοξενούμενο πράκτορα στο Microsoft Foundry, Foundry Agent Service, δρομολόγηση μοντέλου, προσωρινή αποθήκευση απαντήσεων, πύλη αξιολόγησης, πύλη έκδοσης, ροή εργασίας έγκρισης από άνθρωπο, παρατηρησιμότητα πράκτορα, ιχνηλάτηση πράκτορα, βελτιστοποίηση κόστους πράκτορα, δοκιμή καπνού φιλοξενούμενου πράκτορα, πράκτορα υποστήριξης πελατών παραγωγής. ΜΗ ΧΡΗΣΙΜΟΠΟΙΕΙΤΕ ΓΙΑ: κατασκευή του πρώτου σας πράκτορα (ξεκινήστε με το Μάθημα 01), εκτέλεση πρακτόρων τοπικά στη συσκευή (χρησιμοποιήστε local-ai-agents \u002F Μάθημα 17), προμήθεια υποδομής Azure άσχετη με πράκτορες, στόχους ανάπτυξης εκτός Foundry.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fel\u002F.agents\u002Fskills\u002Fdeploying-scalable-agents\u002FSKILL.md",[],[271,224,221,99,222,248],{"skillNo":323,"name":279,"nameZh":13,"description":13,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":324,"categories":325,"keywords":326,"publishedAt":225},"01M699C8C7E1CTF4YSCEMD7BXZ","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fel\u002F.agents\u002Fskills\u002Fazure-openai-to-responses\u002FSKILL.md",[],[285],{"skillNo":328,"name":199,"nameZh":13,"description":13,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":329,"categories":330,"keywords":333,"publishedAt":225},"01M699C68Z86GVZ5AJ6BDBGC88","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fde\u002F.agents\u002Fskills\u002Ftesting-course-samples\u002FSKILL.md",[331,332],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":214,"categoryName":215,"taxonomyType":6,"taxonomyTypeDesc":7},[217,218],{"skillNo":335,"name":228,"nameZh":13,"description":336,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":337,"categories":338,"keywords":340,"publishedAt":225},"01M699C3JXZ59JNRF1A4F52PPK","Durchsuchen Sie die offizielle Microsoft-Dokumentation, um Konzepte, Tutorials und Codebeispiele zu Azure, .NET, Agent Framework, Aspire, VS Code, GitHub und mehr zu finden. Verwendet Microsoft Learn MCP als Standard, mit Context7 und Aspire MCP für Inhalte, die außerhalb von learn.microsoft.com liegen.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fde\u002F.agents\u002Fskills\u002Fmicrosoft-docs\u002FSKILL.md",[339],{"categoryNo":211,"categoryName":212,"taxonomyType":53,"taxonomyTypeDesc":54},[235,234,99,152,219,236],{"skillNo":342,"name":239,"nameZh":13,"description":13,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":343,"categories":344,"keywords":345,"publishedAt":225},"01M699C1MZ8KE2F30YZ9WN7S1G","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fde\u002F.agents\u002Fskills\u002Flocal-ai-agents\u002FSKILL.md",[],[248,249],{"skillNo":347,"name":255,"nameZh":13,"description":348,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":349,"categories":350,"keywords":351,"publishedAt":225},"01M699BZ7PZTT6QK490QP3SGFX","Verwenden Sie, wenn der Benutzer darum bittet, Jupyter-Notebooks (`.ipynb`) für Experimente, Erkundungen oder Tutorials zu erstellen, aufzusetzen oder zu bearbeiten; bevorzugen Sie die mitgelieferten Vorlagen und führen Sie das Hilfsskript `new_notebook.py` aus, um ein sauberes Start-Notebook zu erzeugen.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fde\u002F.agents\u002Fskills\u002Fjupyter-notebook\u002FSKILL.md",[],[260],{"skillNo":353,"name":264,"nameZh":13,"description":13,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":354,"categories":355,"keywords":356,"publishedAt":225},"01M699BXADC750P52T0AE45QW1","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fde\u002F.agents\u002Fskills\u002Fdeploying-scalable-agents\u002FSKILL.md",[],[271],{"skillNo":358,"name":279,"nameZh":13,"description":13,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":99,"ownerAvatarUrl":101,"ownerAccountNo":98,"ownerDisplayName":100,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":359,"categories":360,"keywords":361,"publishedAt":225},"01M699BTBYEKTQG726ZR1TNS7W","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fde\u002F.agents\u002Fskills\u002Fazure-openai-to-responses\u002FSKILL.md",[],[285],35,18]