[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M713WXD3ZYHTPNW41X1PJTJS":3,"skill-same:01M713WXD3ZYHTPNW41X1PJTJS":118},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":15,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":13,"repositoryHtmlUrl":50,"repositoryHomepageUrl":6,"ownerHtmlUrl":51,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":52,"install":53,"resources":66},"01M713WXD3ZYHTPNW41X1PJTJS","appinsights-instrumentation",null,"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.","engvalentineamba77-hue\u002FMY-PLAN-001","engvalentineamba77-hue","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F275656375?v=4","01M70FQJTV0VTZB145JR1EFPJZ","01M70FQJVMAPKZFCJZ83T8M331",0,"MIT","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fappinsights-instrumentation\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fappinsights-instrumentation\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"instrumentation","appinsights instrumentation","configuration","patterns","instrument","guidance","microsoft","sdk","how","references","with","examples","best practices","when","telemetry","how to","insights","azure","for","app","2026-11-10 10:12:30",false,"---\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: \"1.0.2\"\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","# 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",{"name":5,"license":14,"metadata":44,"description":7},{"author":45,"version":46},"Microsoft","1.0.2","copilot\u002Fvscode-mo1c2t3n-ofh8","d3a7686657d083408f0da2bebd93eb2397972666",".agents\u002Fskills\u002Fappinsights-instrumentation","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue","2026-04-21 00:41:26",{"source":8,"skillName":5,"commands":54,"prompt":64,"zipAvailable":65},[55,58,61],{"tool":56,"command":57},"npx","npx skills add engvalentineamba77-hue\u002FMY-PLAN-001 --skill appinsights-instrumentation",{"tool":59,"command":60},"bunx","bunx skills add engvalentineamba77-hue\u002FMY-PLAN-001 --skill appinsights-instrumentation",{"tool":62,"command":63},"pnpm","pnpm dlx skills add engvalentineamba77-hue\u002FMY-PLAN-001 --skill 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deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002FSKILL.md",[125],{"categoryNo":126,"categoryName":127,"taxonomyType":128,"taxonomyTypeDesc":129},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",[121,131,132,133,37,134,135,136,36,137,138,139,140,141,142,143,144,145,146,147],"do","quick","availability","deployment","alternatives","selection","custom","deployments","high availability","use","version","capacity","across","check","customize","multi","first",{"skillNo":149,"name":145,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":153,"publishedAt":39},"01M71404RABMJRT9NESTZ1JHEQ","Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard\u002FStandard\u002FProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002FSKILL.md",[],[145,154,132,155,156,157,158,159,136,160,161,162,163,164,165,166,167,131,37,134],"SET","processing","advanced","model","select","choose","configure","filter","azure openai","options","flow","openai","throughput","full",{"skillNo":169,"name":142,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":173,"publishedAt":39},"01M71401M2YT05GNRXCH3485KX","Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcapacity\u002FSKILL.md",[],[142,174,157,175,176,177,178,179,143,162,180,181,165,182,183,131,133,37,184,134],"projects","project","search","analysis","listing","hand","limits","azure portal","direct","TPM","discovery",{"skillNo":186,"name":187,"nameZh":6,"description":188,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":189,"categories":190,"keywords":195,"publishedAt":39},"01M713ZYMPM1E6HYZBNMKAMC6G","deploy-model","Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version\u002FSKU\u002Fcapacity\u002FRAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent\u002Fcreate), project creation (use project\u002Fcreate).","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002FSKILL.md",[191,192],{"categoryNo":126,"categoryName":127,"taxonomyType":128,"taxonomyTypeDesc":129},{"categoryNo":193,"categoryName":194,"taxonomyType":128,"taxonomyTypeDesc":129},"01JBSEEDCAT000000000000023","Skill与智能体开发",[157,196,197,154,174,132,198,175,199,200,177,178,143,201,162,202,203,165,131,133],"deploy model","deploy","creation","up","MCP","create","intent","list",{"skillNo":205,"name":206,"nameZh":6,"description":207,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":208,"categories":209,"keywords":212,"publishedAt":39},"01M713ZSZ9ANMNRAJZE95C78ZM","microsoft-foundry","Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted\u002Fprompt agent create, container start, batch eval, prompt optimization, prompt optimizer workflows, agent.yaml, dataset curation from traces. USE FOR: deploy agent to Foundry, hosted agent, create agent, invoke agent, evaluate agent, run batch eval, optimize prompt, improve prompt, prompt optimization, prompt optimizer, improve agent instructions, optimize agent instructions, optimize system prompt, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, create dataset from traces, dataset versioning, eval trending, create AI Services, Cognitive Services, create Foundry resource, provision resource, knowledge index, agent monitoring, customize deployment, onboard, availability. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002FSKILL.md",[210,211],{"categoryNo":126,"categoryName":127,"taxonomyType":128,"taxonomyTypeDesc":129},{"categoryNo":193,"categoryName":194,"taxonomyType":128,"taxonomyTypeDesc":129},[25,213,214,215,38,175,216,217,218,219,220,221,222,223,224,201,225,226,227,228],"foundry","microsoft foundry","system prompt","trending","eval","improve","knowledge","invoke","workflows","monitoring","batch","permissions","versioning","run","rbac","start",{"skillNo":230,"name":231,"nameZh":6,"description":232,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":233,"categories":234,"keywords":238,"publishedAt":39},"01M713Z4ESY93XBKA9TSGB54PJ","entra-app-registration","Guides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration. USE FOR: create app registration, register Azure AD app, configure OAuth, set up authentication, add API permissions, generate service principal, MSAL example, console app auth, Entra ID setup, Azure AD authentication. DO NOT USE FOR: Azure RBAC or role assignments (use azure-rbac), Key Vault secrets (use azure-keyvault-expiration-audit), general Azure resource security guidance.","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fentra-app-registration\u002FSKILL.md",[235],{"categoryNo":236,"categoryName":237,"taxonomyType":128,"taxonomyTypeDesc":129},"01JBSEEDCAT000000000000010","后端与接口",[38,239,240,154,241,242,199,243,160,244,245,224,201,246,247,227,248,249,250,131],"registration","entra app registration","auth","authentication","entra id","api","guides","generate","audit","secrets","security","add"]