How do I install the Microsoft Appinsights Instrumentation skill?

Run npx skillmds@latest add pyfagorass/microsoft-appinsights-instrumentation in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Microsoft Appinsights Instrumentation safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Microsoft Appinsights Instrumentation?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Microsoft Appinsights Instrumentation free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Microsoft Appinsights Instrumentation?

pyfagorass (@pyfagorass) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Microsoft Appinsights Instrumentation by pyfagorass

Name: Microsoft Appinsights Instrumentation
Author: pyfagorass

Microsoft Appinsights Instrumentation

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.

pyfagorass Updated Sep 17, 2026

File contents

AppInsights Instrumentation Guide

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

OpenTelemetry Distro: Python | TypeScript
OpenTelemetry Exporter: Python | Java

Platform-Specific Guides

Container Apps: Observability Guide

---name: microsoft-appinsights-instrumentationdescription: 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.license: MIT---# AppInsights Instrumentation GuideThis 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## PrerequisitesThe 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 informationFind 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 possibleIf the app is a C# ASP.NET Core app hosted in Azure App Service, use [AUTO guide](references/auto.md) to help user auto-instrument the app.### Manually instrumentManually instrument the app by creating the AppInsights resource and update the app's code. #### Create AppInsights resourceUse one of the following options that fits the environment.- Add AppInsights to existing Bicep template. See [examples/appinsights.bicep](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](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](references/aspnetcore.md) for how to modify the C# code.- If the app is a Node.js app, see [NODEJS guide](references/nodejs.md) for how to modify the JavaScript/TypeScript code.- If the app is a Python app, see [PYTHON guide](references/python.md) for how to modify the Python code.## SDK Quick References- **OpenTelemetry Distro**: [Python](references/sdk/azure-monitor-opentelemetry-py.md) | [TypeScript](references/sdk/azure-monitor-opentelemetry-ts.md)- **OpenTelemetry Exporter**: [Python](references/sdk/azure-monitor-opentelemetry-exporter-py.md) | [Java](references/sdk/azure-monitor-opentelemetry-exporter-java.md)## Platform-Specific Guides- **Container Apps**: [Observability Guide](references/container-apps.md)

Frequently asked questions