[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-microsoft-appinsights-instrumentation":3,"mdc-4wtfam-key":34,"related-org-microsoft-appinsights-instrumentation":406,"related-repo-microsoft-appinsights-instrumentation":596},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":22,"repoUrl":23,"updatedAt":24,"license":25,"forks":26,"topics":27,"repo":29,"sourceUrl":32,"mdContent":33},"appinsights-instrumentation","instrument webapps with Azure Application Insights","Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"microsoft","Microsoft","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fmicrosoft.png",[12,16,19],{"name":13,"slug":14,"type":15},"Observability","observability","tag",{"name":17,"slug":18,"type":15},"Azure","azure",{"name":20,"slug":21,"type":15},"Monitoring","monitoring",1324,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fazure-skills","2026-07-31T05:56:09.068625","MIT",220,[28],"agent-skills",{"repoUrl":23,"stars":22,"forks":26,"topics":30,"description":31},[28],"Official agent plugin providing skills and MCP server configurations for Azure scenarios.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fazure-skills\u002Ftree\u002FHEAD\u002Fskills\u002Fappinsights-instrumentation","---\nname: appinsights-instrumentation\ndescription: \"Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.\"\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.2.1\"\n---\n\n# AppInsights Instrumentation Guide\n\nThis skill provides **guidance and reference material** for instrumenting webapps with Azure Application Insights.\n\n> **⛔ ADDING COMPONENTS?**\n>\n> If the user wants to **add App Insights to their app**, invoke **azure-prepare** instead.\n> This skill provides reference material—azure-prepare orchestrates the actual changes.\n\n## When to Use This Skill\n\n- User asks **how** to instrument (guidance, patterns, examples)\n- User needs SDK setup instructions\n- azure-prepare invokes this skill during research phase\n- User wants to understand App Insights concepts\n\n## When to Use azure-prepare Instead\n\n- User says \"add telemetry to my app\"\n- User says \"add App Insights\" \n- User wants to modify their project\n- Any request to change\u002Fadd components\n\n## Prerequisites\n\nThe app in the workspace must be one of these kinds\n\n- An ASP.NET Core app hosted in Azure\n- A Node.js app hosted in Azure\n\n## Guidelines\n\n### Collect context information\n\nFind out the (programming language, application framework, hosting) tuple of the application the user is trying to add telemetry support in. This determines how the application can be instrumented. Read the source code to make an educated guess. Confirm with the user on anything you don't know. You must always ask the user where the application is hosted (e.g. on a personal computer, in an Azure App Service as code, in an Azure App Service as container, in an Azure Container App, etc.). \n\n### Prefer auto-instrument if possible\n\nIf the app is a C# ASP.NET Core app hosted in Azure App Service, use [AUTO guide](references\u002Fauto.md) to help user auto-instrument the app.\n\n### Manually instrument\n\nManually instrument the app by creating the AppInsights resource and update the app's code. \n\n#### Create AppInsights resource\n\nUse one of the following options that fits the environment.\n\n- Add AppInsights to existing Bicep template. See [examples\u002Fappinsights.bicep](examples\u002Fappinsights.bicep) for what to add. This is the best option if there are existing Bicep template files in the workspace.\n- Use Azure CLI. See [scripts\u002Fappinsights.ps1](scripts\u002Fappinsights.ps1) for what Azure CLI command to execute to create the App Insights resource.\n\nNo matter which option you choose, recommend the user to create the App Insights resource in a meaningful resource group that makes managing resources easier. A good candidate will be the same resource group that contains the resources for the hosted app in Azure.\n\n#### Modify application code\n\n- If the app is an ASP.NET Core app, see [ASPNETCORE guide](references\u002Faspnetcore.md) for how to modify the C# code.\n- If the app is a Node.js app, see [NODEJS guide](references\u002Fnodejs.md) for how to modify the JavaScript\u002FTypeScript code.\n- If the app is a Python app, see [PYTHON guide](references\u002Fpython.md) for how to modify the Python code.\n\n## SDK Quick References\n\n- **OpenTelemetry Distro**: [Python](references\u002Fsdk\u002Fazure-monitor-opentelemetry-py.md) | [TypeScript](references\u002Fsdk\u002Fazure-monitor-opentelemetry-ts.md)\n- **OpenTelemetry Exporter**: [Python](references\u002Fsdk\u002Fazure-monitor-opentelemetry-exporter-py.md) | [Java](references\u002Fsdk\u002Fazure-monitor-opentelemetry-exporter-java.md)\n\n## Platform-Specific Guides\n\n- **Container Apps**: [Observability Guide](references\u002Fcontainer-apps.md)\n",{"data":35,"body":38},{"name":4,"description":6,"license":25,"metadata":36},{"author":9,"version":37},"1.2.1",{"type":39,"children":40},"root",[41,50,64,95,102,134,140,163,169,174,187,193,200,205,211,225,231,236,243,248,275,280,286,328,334,382,388],{"type":42,"tag":43,"props":44,"children":46},"element","h1",{"id":45},"appinsights-instrumentation-guide",[47],{"type":48,"value":49},"text","AppInsights Instrumentation Guide",{"type":42,"tag":51,"props":52,"children":53},"p",{},[54,56,62],{"type":48,"value":55},"This skill provides ",{"type":42,"tag":57,"props":58,"children":59},"strong",{},[60],{"type":48,"value":61},"guidance and reference material",{"type":48,"value":63}," for instrumenting webapps with Azure Application Insights.",{"type":42,"tag":65,"props":66,"children":67},"blockquote",{},[68,76],{"type":42,"tag":51,"props":69,"children":70},{},[71],{"type":42,"tag":57,"props":72,"children":73},{},[74],{"type":48,"value":75},"⛔ ADDING COMPONENTS?",{"type":42,"tag":51,"props":77,"children":78},{},[79,81,86,88,93],{"type":48,"value":80},"If the user wants to ",{"type":42,"tag":57,"props":82,"children":83},{},[84],{"type":48,"value":85},"add App Insights to their app",{"type":48,"value":87},", invoke ",{"type":42,"tag":57,"props":89,"children":90},{},[91],{"type":48,"value":92},"azure-prepare",{"type":48,"value":94}," instead.\nThis skill provides reference material—azure-prepare orchestrates the actual changes.",{"type":42,"tag":96,"props":97,"children":99},"h2",{"id":98},"when-to-use-this-skill",[100],{"type":48,"value":101},"When to Use This Skill",{"type":42,"tag":103,"props":104,"children":105},"ul",{},[106,119,124,129],{"type":42,"tag":107,"props":108,"children":109},"li",{},[110,112,117],{"type":48,"value":111},"User asks ",{"type":42,"tag":57,"props":113,"children":114},{},[115],{"type":48,"value":116},"how",{"type":48,"value":118}," to instrument (guidance, patterns, examples)",{"type":42,"tag":107,"props":120,"children":121},{},[122],{"type":48,"value":123},"User needs SDK setup instructions",{"type":42,"tag":107,"props":125,"children":126},{},[127],{"type":48,"value":128},"azure-prepare invokes this skill during research phase",{"type":42,"tag":107,"props":130,"children":131},{},[132],{"type":48,"value":133},"User wants to understand App Insights concepts",{"type":42,"tag":96,"props":135,"children":137},{"id":136},"when-to-use-azure-prepare-instead",[138],{"type":48,"value":139},"When to Use azure-prepare Instead",{"type":42,"tag":103,"props":141,"children":142},{},[143,148,153,158],{"type":42,"tag":107,"props":144,"children":145},{},[146],{"type":48,"value":147},"User says \"add telemetry to my app\"",{"type":42,"tag":107,"props":149,"children":150},{},[151],{"type":48,"value":152},"User says \"add App Insights\"",{"type":42,"tag":107,"props":154,"children":155},{},[156],{"type":48,"value":157},"User wants to modify their project",{"type":42,"tag":107,"props":159,"children":160},{},[161],{"type":48,"value":162},"Any request to change\u002Fadd components",{"type":42,"tag":96,"props":164,"children":166},{"id":165},"prerequisites",[167],{"type":48,"value":168},"Prerequisites",{"type":42,"tag":51,"props":170,"children":171},{},[172],{"type":48,"value":173},"The app in the workspace must be one of these kinds",{"type":42,"tag":103,"props":175,"children":176},{},[177,182],{"type":42,"tag":107,"props":178,"children":179},{},[180],{"type":48,"value":181},"An ASP.NET Core app hosted in Azure",{"type":42,"tag":107,"props":183,"children":184},{},[185],{"type":48,"value":186},"A Node.js app hosted in Azure",{"type":42,"tag":96,"props":188,"children":190},{"id":189},"guidelines",[191],{"type":48,"value":192},"Guidelines",{"type":42,"tag":194,"props":195,"children":197},"h3",{"id":196},"collect-context-information",[198],{"type":48,"value":199},"Collect context information",{"type":42,"tag":51,"props":201,"children":202},{},[203],{"type":48,"value":204},"Find out the (programming language, application framework, hosting) tuple of the application the user is trying to add telemetry support in. This determines how the application can be instrumented. Read the source code to make an educated guess. Confirm with the user on anything you don't know. You must always ask the user where the application is hosted (e.g. on a personal computer, in an Azure App Service as code, in an Azure App Service as container, in an Azure Container App, etc.).",{"type":42,"tag":194,"props":206,"children":208},{"id":207},"prefer-auto-instrument-if-possible",[209],{"type":48,"value":210},"Prefer auto-instrument if possible",{"type":42,"tag":51,"props":212,"children":213},{},[214,216,223],{"type":48,"value":215},"If the app is a C# ASP.NET Core app hosted in Azure App Service, use ",{"type":42,"tag":217,"props":218,"children":220},"a",{"href":219},"references\u002Fauto.md",[221],{"type":48,"value":222},"AUTO guide",{"type":48,"value":224}," to help user auto-instrument the app.",{"type":42,"tag":194,"props":226,"children":228},{"id":227},"manually-instrument",[229],{"type":48,"value":230},"Manually instrument",{"type":42,"tag":51,"props":232,"children":233},{},[234],{"type":48,"value":235},"Manually instrument the app by creating the AppInsights resource and update the app's code.",{"type":42,"tag":237,"props":238,"children":240},"h4",{"id":239},"create-appinsights-resource",[241],{"type":48,"value":242},"Create AppInsights resource",{"type":42,"tag":51,"props":244,"children":245},{},[246],{"type":48,"value":247},"Use one of the following options that fits the environment.",{"type":42,"tag":103,"props":249,"children":250},{},[251,263],{"type":42,"tag":107,"props":252,"children":253},{},[254,256,261],{"type":48,"value":255},"Add AppInsights to existing Bicep template. See ",{"type":42,"tag":217,"props":257,"children":259},{"href":258},"examples\u002Fappinsights.bicep",[260],{"type":48,"value":258},{"type":48,"value":262}," for what to add. This is the best option if there are existing Bicep template files in the workspace.",{"type":42,"tag":107,"props":264,"children":265},{},[266,268,273],{"type":48,"value":267},"Use Azure CLI. See ",{"type":42,"tag":217,"props":269,"children":271},{"href":270},"scripts\u002Fappinsights.ps1",[272],{"type":48,"value":270},{"type":48,"value":274}," for what Azure CLI command to execute to create the App Insights resource.",{"type":42,"tag":51,"props":276,"children":277},{},[278],{"type":48,"value":279},"No matter which option you choose, recommend the user to create the App Insights resource in a meaningful resource group that makes managing resources easier. A good candidate will be the same resource group that contains the resources for the hosted app in Azure.",{"type":42,"tag":237,"props":281,"children":283},{"id":282},"modify-application-code",[284],{"type":48,"value":285},"Modify application code",{"type":42,"tag":103,"props":287,"children":288},{},[289,302,315],{"type":42,"tag":107,"props":290,"children":291},{},[292,294,300],{"type":48,"value":293},"If the app is an ASP.NET Core app, see ",{"type":42,"tag":217,"props":295,"children":297},{"href":296},"references\u002Faspnetcore.md",[298],{"type":48,"value":299},"ASPNETCORE guide",{"type":48,"value":301}," for how to modify the C# code.",{"type":42,"tag":107,"props":303,"children":304},{},[305,307,313],{"type":48,"value":306},"If the app is a Node.js app, see ",{"type":42,"tag":217,"props":308,"children":310},{"href":309},"references\u002Fnodejs.md",[311],{"type":48,"value":312},"NODEJS guide",{"type":48,"value":314}," for how to modify the JavaScript\u002FTypeScript code.",{"type":42,"tag":107,"props":316,"children":317},{},[318,320,326],{"type":48,"value":319},"If the app is a Python app, see ",{"type":42,"tag":217,"props":321,"children":323},{"href":322},"references\u002Fpython.md",[324],{"type":48,"value":325},"PYTHON guide",{"type":48,"value":327}," for how to modify the Python code.",{"type":42,"tag":96,"props":329,"children":331},{"id":330},"sdk-quick-references",[332],{"type":48,"value":333},"SDK Quick References",{"type":42,"tag":103,"props":335,"children":336},{},[337,361],{"type":42,"tag":107,"props":338,"children":339},{},[340,345,347,353,355],{"type":42,"tag":57,"props":341,"children":342},{},[343],{"type":48,"value":344},"OpenTelemetry Distro",{"type":48,"value":346},": ",{"type":42,"tag":217,"props":348,"children":350},{"href":349},"references\u002Fsdk\u002Fazure-monitor-opentelemetry-py.md",[351],{"type":48,"value":352},"Python",{"type":48,"value":354}," | ",{"type":42,"tag":217,"props":356,"children":358},{"href":357},"references\u002Fsdk\u002Fazure-monitor-opentelemetry-ts.md",[359],{"type":48,"value":360},"TypeScript",{"type":42,"tag":107,"props":362,"children":363},{},[364,369,370,375,376],{"type":42,"tag":57,"props":365,"children":366},{},[367],{"type":48,"value":368},"OpenTelemetry Exporter",{"type":48,"value":346},{"type":42,"tag":217,"props":371,"children":373},{"href":372},"references\u002Fsdk\u002Fazure-monitor-opentelemetry-exporter-py.md",[374],{"type":48,"value":352},{"type":48,"value":354},{"type":42,"tag":217,"props":377,"children":379},{"href":378},"references\u002Fsdk\u002Fazure-monitor-opentelemetry-exporter-java.md",[380],{"type":48,"value":381},"Java",{"type":42,"tag":96,"props":383,"children":385},{"id":384},"platform-specific-guides",[386],{"type":48,"value":387},"Platform-Specific Guides",{"type":42,"tag":103,"props":389,"children":390},{},[391],{"type":42,"tag":107,"props":392,"children":393},{},[394,399,400],{"type":42,"tag":57,"props":395,"children":396},{},[397],{"type":48,"value":398},"Container Apps",{"type":48,"value":346},{"type":42,"tag":217,"props":401,"children":403},{"href":402},"references\u002Fcontainer-apps.md",[404],{"type":48,"value":405},"Observability Guide",{"items":407,"total":595},[408,430,449,467,482,498,509,522,537,552,571,583],{"slug":409,"name":409,"fn":410,"description":411,"org":412,"tags":413,"stars":427,"repoUrl":428,"updatedAt":429},"rushstack-best-practices","manage Rush monorepos with best practices","Provides best practices and guidance for working with Rush monorepos. Use when the user is working in a Rush-based repository, asks about Rush commands (install, update, build, rebuild), needs help with project selection, dependency management, build caching, subspace configuration, or troubleshooting Rush-specific issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[414,417,420,421,424],{"name":415,"slug":416,"type":15},"Engineering","engineering",{"name":418,"slug":419,"type":15},"Local Development","local-development",{"name":9,"slug":8,"type":15},{"name":422,"slug":423,"type":15},"Project Management","project-management",{"name":425,"slug":426,"type":15},"Rush","rush",6484,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frushstack","2026-04-06T18:34:44.965032",{"slug":431,"name":431,"fn":432,"description":433,"org":434,"tags":435,"stars":446,"repoUrl":447,"updatedAt":448},"azure-ai-agents-persistent-dotnet","build AI agents with Azure .NET SDK","Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: \"PersistentAgentsClient\", \"persistent agents\", \"agent threads\", \"agent runs\", \"streaming agents\", \"function calling agents .NET\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[436,439,442,443],{"name":437,"slug":438,"type":15},".NET","net",{"name":440,"slug":441,"type":15},"Agents","agents",{"name":17,"slug":18,"type":15},{"name":444,"slug":445,"type":15},"LLM","llm",2804,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills","2026-07-03T16:32:10.297433",{"slug":450,"name":450,"fn":451,"description":452,"org":453,"tags":454,"stars":446,"repoUrl":447,"updatedAt":466},"azure-ai-anomalydetector-java","build anomaly detection applications with Java","Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate\u002Fmultivariate anomaly detection, time-series analysis, or AI-powered monitoring.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[455,458,459,462,464,465],{"name":456,"slug":457,"type":15},"Analytics","analytics",{"name":17,"slug":18,"type":15},{"name":460,"slug":461,"type":15},"Data Analysis","data-analysis",{"name":381,"slug":463,"type":15},"java",{"name":9,"slug":8,"type":15},{"name":20,"slug":21,"type":15},"2026-05-13T06:14:16.261754",{"slug":468,"name":468,"fn":469,"description":470,"org":471,"tags":472,"stars":446,"repoUrl":447,"updatedAt":481},"azure-ai-contentsafety-java","build content moderation applications with Azure AI","Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[473,476,477,478],{"name":474,"slug":475,"type":15},"AI Infrastructure","ai-infrastructure",{"name":17,"slug":18,"type":15},{"name":381,"slug":463,"type":15},{"name":479,"slug":480,"type":15},"Security","security","2026-07-07T06:53:31.293235",{"slug":483,"name":483,"fn":484,"description":485,"org":486,"tags":487,"stars":446,"repoUrl":447,"updatedAt":497},"azure-ai-contentsafety-py","detect harmful content with Azure AI Content Safety","Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.\nTriggers: \"azure-ai-contentsafety\", \"ContentSafetyClient\", \"content moderation\", \"harmful content\", \"text analysis\", \"image analysis\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[488,489,492,493,494,496],{"name":17,"slug":18,"type":15},{"name":490,"slug":491,"type":15},"Compliance","compliance",{"name":444,"slug":445,"type":15},{"name":9,"slug":8,"type":15},{"name":352,"slug":495,"type":15},"python",{"name":479,"slug":480,"type":15},"2026-07-18T05:14:23.017504",{"slug":499,"name":499,"fn":500,"description":501,"org":502,"tags":503,"stars":446,"repoUrl":447,"updatedAt":508},"azure-ai-language-conversations-py","implement conversational language understanding with Python","Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[504,505,506,507],{"name":456,"slug":457,"type":15},{"name":17,"slug":18,"type":15},{"name":444,"slug":445,"type":15},{"name":352,"slug":495,"type":15},"2026-07-31T05:54:29.068751",{"slug":510,"name":510,"fn":511,"description":512,"org":513,"tags":514,"stars":446,"repoUrl":447,"updatedAt":521},"azure-ai-translation-text-py","translate text using Azure AI services","Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[515,518,519,520],{"name":516,"slug":517,"type":15},"API Development","api-development",{"name":17,"slug":18,"type":15},{"name":9,"slug":8,"type":15},{"name":352,"slug":495,"type":15},"2026-07-18T05:14:16.988376",{"slug":523,"name":523,"fn":524,"description":525,"org":526,"tags":527,"stars":446,"repoUrl":447,"updatedAt":536},"azure-ai-vision-imageanalysis-py","analyze images with Azure AI Vision","Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.\nTriggers: \"image analysis\", \"computer vision\", \"OCR\", \"object detection\", \"ImageAnalysisClient\", \"image caption\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[528,529,532,535],{"name":17,"slug":18,"type":15},{"name":530,"slug":531,"type":15},"Computer Vision","computer-vision",{"name":533,"slug":534,"type":15},"Images","images",{"name":352,"slug":495,"type":15},"2026-07-18T05:14:18.007737",{"slug":538,"name":538,"fn":539,"description":540,"org":541,"tags":542,"stars":446,"repoUrl":447,"updatedAt":551},"azure-appconfiguration-java","manage configuration with Azure App Configuration","Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.\nTriggers: \"ConfigurationClient java\", \"app configuration java\", \"feature flag java\", \"configuration setting java\", \"azure config java\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[543,544,547,550],{"name":17,"slug":18,"type":15},{"name":545,"slug":546,"type":15},"Configuration","configuration",{"name":548,"slug":549,"type":15},"Feature Flags","feature-flags",{"name":381,"slug":463,"type":15},"2026-07-03T16:32:01.278468",{"slug":553,"name":553,"fn":554,"description":555,"org":556,"tags":557,"stars":446,"repoUrl":447,"updatedAt":570},"azure-cosmos-rust","build applications with Azure Cosmos DB","Azure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data.\nTriggers: \"cosmos db rust\", \"CosmosClient rust\", \"document crud rust\", \"NoSQL rust\", \"partition key rust\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[558,561,564,567],{"name":559,"slug":560,"type":15},"Cosmos DB","cosmos-db",{"name":562,"slug":563,"type":15},"Database","database",{"name":565,"slug":566,"type":15},"NoSQL","nosql",{"name":568,"slug":569,"type":15},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":572,"name":572,"fn":554,"description":573,"org":574,"tags":575,"stars":446,"repoUrl":447,"updatedAt":582},"azure-cosmos-ts","Azure Cosmos DB JavaScript\u002FTypeScript SDK (@azure\u002Fcosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: \"Cosmos DB\", \"@azure\u002Fcosmos\", \"CosmosClient\", \"document CRUD\", \"NoSQL queries\", \"bulk operations\", \"partition key\", \"container.items\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[576,577,578,579,580],{"name":559,"slug":560,"type":15},{"name":562,"slug":563,"type":15},{"name":9,"slug":8,"type":15},{"name":565,"slug":566,"type":15},{"name":360,"slug":581,"type":15},"typescript","2026-07-03T16:31:19.368382",{"slug":584,"name":584,"fn":585,"description":586,"org":587,"tags":588,"stars":446,"repoUrl":447,"updatedAt":594},"azure-data-tables-java","build table storage applications with Java","Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[589,590,591,592,593],{"name":17,"slug":18,"type":15},{"name":559,"slug":560,"type":15},{"name":562,"slug":563,"type":15},{"name":381,"slug":463,"type":15},{"name":565,"slug":566,"type":15},"2026-05-13T06:14:17.582229",267,{"items":597,"total":709},[598,616,622,641,658,675,691],{"slug":599,"name":599,"fn":600,"description":601,"org":602,"tags":603,"stars":22,"repoUrl":23,"updatedAt":615},"airunway-aks-setup","set up AI Runway on Azure Kubernetes Service","Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference on AKS\", \"KAITO setup on AKS\", \"run LLM on AKS\", \"vLLM on AKS\", \"set up model serving on AKS\", \"AI Runway controller\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[604,605,606,609,612],{"name":474,"slug":475,"type":15},{"name":17,"slug":18,"type":15},{"name":607,"slug":608,"type":15},"Deployment","deployment",{"name":610,"slug":611,"type":15},"Kubernetes","kubernetes",{"name":613,"slug":614,"type":15},"Runway","runway","2026-07-31T05:56:13.054971",{"slug":4,"name":4,"fn":5,"description":6,"org":617,"tags":618,"stars":22,"repoUrl":23,"updatedAt":24},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[619,620,621],{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"name":13,"slug":14,"type":15},{"slug":623,"name":623,"fn":624,"description":625,"org":626,"tags":627,"stars":22,"repoUrl":23,"updatedAt":640},"azure-ai","build applications with Azure AI services","Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector\u002Fhybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[628,629,630,631,634,637],{"name":474,"slug":475,"type":15},{"name":17,"slug":18,"type":15},{"name":444,"slug":445,"type":15},{"name":632,"slug":633,"type":15},"OpenAI","openai",{"name":635,"slug":636,"type":15},"Search","search",{"name":638,"slug":639,"type":15},"Speech","speech","2026-07-31T05:56:19.069133",{"slug":642,"name":642,"fn":643,"description":644,"org":645,"tags":646,"stars":22,"repoUrl":23,"updatedAt":657},"azure-aigateway","configure Azure API Management as an AI Gateway","Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[647,648,649,650,653,656],{"name":474,"slug":475,"type":15},{"name":516,"slug":517,"type":15},{"name":17,"slug":18,"type":15},{"name":651,"slug":652,"type":15},"Caching","caching",{"name":654,"slug":655,"type":15},"Governance","governance",{"name":479,"slug":480,"type":15},"2026-07-31T05:56:23.05242",{"slug":659,"name":659,"fn":660,"description":661,"org":662,"tags":663,"stars":22,"repoUrl":23,"updatedAt":674},"azure-cloud-migrate","migrate cross-cloud workloads to Azure","Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk\u002FHeroku\u002FApp Engine→App Service, Fargate\u002FKubernetes\u002FCloud Run\u002FSpring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS\u002FKubernetes\u002FGKE\u002FEKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[664,667,668,671],{"name":665,"slug":666,"type":15},"AWS","aws",{"name":17,"slug":18,"type":15},{"name":669,"slug":670,"type":15},"Google Cloud","google-cloud",{"name":672,"slug":673,"type":15},"Migration","migration","2026-07-31T05:56:29.049979",{"slug":676,"name":676,"fn":677,"description":678,"org":679,"tags":680,"stars":22,"repoUrl":23,"updatedAt":690},"azure-compliance","audit Azure compliance and security","Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy\u002Fcompliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[681,684,685,686,689],{"name":682,"slug":683,"type":15},"Audit","audit",{"name":17,"slug":18,"type":15},{"name":490,"slug":491,"type":15},{"name":687,"slug":688,"type":15},"Regulatory Compliance","regulatory-compliance",{"name":479,"slug":480,"type":15},"2026-07-31T05:56:11.06797",{"slug":692,"name":692,"fn":693,"description":694,"org":695,"tags":696,"stars":22,"repoUrl":23,"updatedAt":708},"azure-compute","manage and optimize Azure compute resources","Azure VM\u002FVMSS router. WHEN: create \u002F provision \u002F deploy \u002F spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev\u002Ftest, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus \u002F compute_vm_list-images \u002F compute_vm_check-quota.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[697,698,699,702,705],{"name":474,"slug":475,"type":15},{"name":17,"slug":18,"type":15},{"name":700,"slug":701,"type":15},"Cost Optimization","cost-optimization",{"name":703,"slug":704,"type":15},"Performance","performance",{"name":706,"slug":707,"type":15},"Virtual Machines","virtual-machines","2026-07-31T05:56:16.042469",28]