Guidance and reference material for instrumenting webapps with Azure Application Insights.
Works with
Covers SDK setup, telemetry patterns, and configuration for ASP.NET Core, Node.js, and Python applications hosted in Azure
Distinguishes between this skill (reference and guidance) and azure-prepare (which orchestrates actual instrumentation changes)
Recommends auto-instrumentation for C# ASP.NET Core apps on Azure App Service; provides manual instrumentation paths for other stacks
Includes
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionappinsights-instrumentationExecute the skills CLI command in your project's root directory to begin installation:
Fetches appinsights-instrumentation from microsoft/GitHub-Copilot-for-Azure and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate appinsights-instrumentation. Access via /appinsights-instrumentation in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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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.
The app in the workspace must be one of these kinds
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.).
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 the app by creating the AppInsights resource and update the app's code.
Use one of the following options that fits the environment.
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.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
microsoft/GitHub-Copilot-for-Azure
microsoft/GitHub-Copilot-for-Azure
microsoft/azure-skills
membranedev/application-skills
microsoft/azure-skills
aj-geddes/useful-ai-prompts
appinsights-instrumentation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: appinsights-instrumentation is focused, and the summary matches what you get after install.
Registry listing for appinsights-instrumentation matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: appinsights-instrumentation is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in appinsights-instrumentation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added appinsights-instrumentation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
appinsights-instrumentation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend appinsights-instrumentation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
appinsights-instrumentation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: appinsights-instrumentation is focused, and the summary matches what you get after install.
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