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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: \"0.0.0-placeholder\"\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- An Azure Container App\n- A Node.js app hosted in Azure\n- A Python 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","# 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- An Azure Container App\n- A Node.js app hosted in Azure\n- A Python 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",{"name":5,"license":15,"metadata":45,"description":7},{"author":12,"version":46},"0.0.0-placeholder","main","90929a087ad50fa0dd02fc396c9b8f721ddced08","plugins\u002Fazure-skills\u002Fskills\u002Fappinsights-instrumentation",225,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FGitHub-Copilot-for-Azure","https:\u002F\u002Fgithub.com\u002Fmicrosoft","https:\u002F\u002Fopensource.microsoft.com","Open source projects and samples from Microsoft","2026-11-13 13:49:26",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add microsoft\u002FGitHub-Copilot-for-Azure --skill appinsights-instrumentation",{"tool":62,"command":63},"bunx","bunx skills add microsoft\u002FGitHub-Copilot-for-Azure --skill appinsights-instrumentation",{"tool":65,"command":66},"pnpm","pnpm dlx skills add microsoft\u002FGitHub-Copilot-for-Azure --skill 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Azure Advisor Cost\u002FIdleResources findings and prevalidate deletion safety, including Service Groups. WHEN: \"find unused Azure resources\", \"what resources am I paying for but no longer using\", \"idle-resource savings\", \"historical idle-resource savings\", \"are these idle resources safe to delete\". Generic Cost, other subcategories, and cross-category requests use azure-advisor.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FGitHub-Copilot-for-Azure\u002Fblob\u002Fmain\u002Fplugins\u002Fazure-advisor\u002Fskills\u002Fazure-advisor-cost-optimization\u002FSKILL.md",[],[137,138,139,36,140,141,142,143,144,24,145,146,147,23,148,39,149,150,151,9],"azure advisor","Optimization","cost optimization","cost","advisor","azure advisor cost optimization","resources","generic","deletion","unused","use","analyze","delete","requests","find",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":163,"publishedAt":40},"01M699ZWKYS4MRFW0KQM1FFCJK","foundry-iq","Foundry IQ knowledge bases. 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NOT: other KB providers, repository-file search, classic Azure AI Search index\u002Fquery\u002Fapp work with no Foundry IQ KB or connector request, generic agent creation.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FGitHub-Copilot-for-Azure\u002Fblob\u002Fmain\u002Fplugins\u002Ffoundry-iq-skills\u002Fskills\u002Ffoundry-iq\u002FSKILL.md",[158],{"categoryNo":159,"categoryName":160,"taxonomyType":161,"taxonomyTypeDesc":162},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[164,165,39,166,167,9,168,29,169,170,171,144,172,173,174,175,36,176,177,178,179,180,181,23,182],"foundry","foundry iq","triage","azure ai","connectors","Citations","brand","kb","creation","diagnose","search","local","reuse","knowledge","foundry iq knowledge bases","connect","Existing","documents","query",{"skillNo":184,"name":185,"nameZh":6,"description":186,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":187,"categories":188,"keywords":192,"publishedAt":40},"01M699ZT26E2D0VTWFZBBGJHMG","python-appservice-deploy","Deploy Python (Flask\u002FDjango\u002FFastAPI) code to Azure App Service Linux. 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DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform\u002FBicep\u002FIaC, full infra — use azure-prepare.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FGitHub-Copilot-for-Azure\u002Fblob\u002Fmain\u002Fplugins\u002Fazure-skills\u002Fskills\u002Fpython-appservice-deploy\u002FSKILL.md",[189],{"categoryNo":190,"categoryName":191,"taxonomyType":161,"taxonomyTypeDesc":162},"01JBSEEDCAT000000000000011","运维与部署",[193,194,195,39,196,197,29,198,199,24,200,36,201,202,203,147,204,205,206,207,23],"python appservice deploy","deploy","python","linux","infra","do","django","azure app service","container","iac","fastapi","apps","code","functions","fastapi app",{"skillNo":209,"name":210,"nameZh":6,"description":211,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":212,"categories":213,"keywords":216,"publishedAt":40},"01M699ZR83J83TATQZKXHPXPF7","preset","Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. 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