AppInsights Instrumentation Guide

SkillCloud & infra

Add Azure Application Insights monitoring to a web app with step-by-step guidance from your AI. The skill provides SDK setup help, telemetry patterns, code examples, and configuration references. Your AI can also follow monitoring best practices while it works.

Available today. Use it from your connected AI after setup.

After adding it, tell your AI which web app you want to monitor and ask it to walk you through adding Application Insights. It will use the bundled SDK setup steps, code examples, and configuration references as it guides you.

Then ask your AI: use the AppInsights Instrumentation Guide skill

What your AI can do with it

  • Add Application Insights telemetry to a web app step by step
  • Set up the Application Insights SDK
  • Apply proven telemetry patterns to your app's code
  • Use instrumentation code examples while working
  • Find the right configuration options for your setup
  • Follow application monitoring best practices

What this skill tells your AI

The instructions your AI receives, as published by microsoft/azure-skills in skills/appinsights-instrumentation/SKILL.md and read by ahel’s review.

This skill provides guidance and reference material for instrumenting webapps with Azure Application Insights.

⛔ ADDING COMPONENTS?

If the user wants to add App Insights to their app, invoke azure-prepare instead. This skill provides reference material—azure-prepare orchestrates the actual changes.

When to Use This Skill

  • User asks how to instrument (guidance, patterns, examples)
  • User needs SDK setup instructions
  • azure-prepare invokes this skill during research phase
  • User wants to understand App Insights concepts

When to Use azure-prepare Instead

  • User says "add telemetry to my app"
  • User says "add App Insights"
  • User wants to modify their project
  • Any request to change/add components

Prerequisites

The app in the workspace must be one of these kinds

  • An ASP.NET Core app hosted in Azure
  • A Node.js app hosted in Azure

Guidelines

Collect context information

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.).

Prefer auto-instrument if possible

If the app is a C# ASP.NET Core app hosted in Azure App Service, use AUTO guide to help user auto-instrument the app.

Manually instrument

Manually instrument the app by creating the AppInsights resource and update the app's code.

Create AppInsights resource

Use one of the following options that fits the environment.

  • Add AppInsights to existing Bicep template. See examples/appinsights.bicep for what to add. This is the best option if there are existing Bicep template files in the workspace.
  • Use Azure CLI. See scripts/appinsights.ps1 for what Azure CLI command to execute to create the App Insights resource.

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.

Modify application code
  • If the app is an ASP.NET Core app, see ASPNETCORE guide for how to modify the C# code.
  • If the app is a Node.js app, see NODEJS guide for how to modify the JavaScript/TypeScript code.
  • If the app is a Python app, see PYTHON guide for how to modify the Python code.

SDK Quick References

Platform-Specific Guides

Signals

GitHub stars
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Last commit
Sep 2026
Installs
576k installs

ahel review

  • K1binfo
    installs-packages (in references/nodejs.md)
  • K1binfo
    installs-packages (in references/python.md)
  • K1binfo
    installs-packages (in references/sdk/azure-monitor-opentelemetry-exporter-py.md)
  • K1binfo
    installs-packages (in references/sdk/azure-monitor-opentelemetry-py.md)
  • K1binfo
    installs-packages (in references/sdk/azure-monitor-opentelemetry-ts.md)

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Catalog kind
skill
Gateway key
appinsights-instrumentation-microsoft
Source
github.com/microsoft/azure-skills