appinsights-instrumentation
Instrument a webapp to send useful telemetry data to Azure App Insights
Best use case
appinsights-instrumentation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Instrument a webapp to send useful telemetry data to Azure App Insights
Teams using appinsights-instrumentation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/appinsights-instrumentation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How appinsights-instrumentation Compares
| Feature / Agent | appinsights-instrumentation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Instrument a webapp to send useful telemetry data to Azure App Insights
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# AppInsights instrumentation This skill enables sending telemetry data of a webapp to Azure App Insights for better observability of the app's health. ## When to use this skill Use this skill when the user wants to enable telemetry for their webapp. ## 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](references/AUTO.md) 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](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.
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