Score
8.5
/ 10
Installs
408K
Repo Stars
1.2K
Last Updated
0d ago
Quality Ratio
99%
Description
Verified
Language
Python
First Published
Feb 2026
Summary
The Appinsights Instrumentation agent skill enables developers to integrate Azure Application Insights into their web applications, providing comprehensive telemetry for enhanced observability of application health and performance. It is designed for developers working with ASP.NET Core, Node.js, or Python web applications hosted within Azure environments who need to monitor their services. This agent skill is an emerging or highly specialized tool with limited adoption so far within the o-mega.ai registry. The skill guides the agent to first collect application context like language and hosting environment to determine the best instrumentation approach. It prioritizes auto-instrumentation for ASP.NET Core apps on Azure App Service, otherwise, it directs the agent to manually create App Insights resources via Bicep or Azure CLI and modify application code based on the specific programming language. The agent is instructed to suggest creating resources in a logical resource group for easier management. Its utility is specifically tied to applications hosted within Azure, limiting its applicability to other hosting environments.
Skill Definition
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