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1 change: 1 addition & 0 deletions docs/README.skills.md
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Expand Up @@ -22,4 +22,5 @@ Skills differ from other primitives by supporting bundled assets (scripts, code

| Name | Description | Bundled Assets |
| ---- | ----------- | -------------- |
| [appinsights-instrumentation](../skills/appinsights-instrumentation/SKILL.md) | Instrument a webapp to send useful telemetry data to Azure App Insights | `ASPNETCORE.md`<br />`AUTO.md`<br />`LICENSE.txt`<br />`NODEJS.md`<br />`PYTHON.md`<br />`examples/appinsights.bicep`<br />`scripts/appinsights.ps1` |
| [webapp-testing](../skills/webapp-testing/SKILL.md) | Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. | `test-helper.js` |
29 changes: 29 additions & 0 deletions skills/appinsights-instrumentation/ASPNETCORE.md
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## Modify code

Make these necessary changes to the app.

- Install client library
```
dotnet add package Azure.Monitor.OpenTelemetry.AspNetCore
```

- Configure the app to use Azure Monitor
An ASP.NET Core app typically has a Program.cs file that "builds" the app. Find this file and apply these changes.
- Add `using Azure.Monitor.OpenTelemetry.AspNetCore;` at the top
- Before calling `builder.Build()`, add this line `builder.Services.AddOpenTelemetry().UseAzureMonitor();`.

> Note: since we modified the code of the app, the app needs to be deployed to take effect.

## Configure App Insights connection string

The App Insights resource has a connection string. Add the connection string as an environment variable of the running app. You can use Azure CLI to query the connection string of the App Insights resource. See [scripts/appinsights.ps1](scripts/appinsights.ps1) for what Azure CLI command to execute for querying the connection string.

After getting the connection string, set this environment variable with its value.

```
"APPLICATIONINSIGHTS_CONNECTION_STRING={your_application_insights_connection_string}"
```

If the app has IaC template such as Bicep or terraform files representing its cloud instance, this environment variable should be added to the IaC template to be applied in each deployment. Otherwise, use Azure CLI to manually apply the environment variable to the cloud instance of the app. See [scripts/appinsights.ps1](scripts/appinsights.ps1) for what Azure CLI command to execute for setting this environment variable.

> Important: Don't modify appsettings.json. It was a deprecated way to configure App Insights. The environment variable is the new recommended way.
13 changes: 13 additions & 0 deletions skills/appinsights-instrumentation/AUTO.md
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# Auto-instrument app

Use Azure Portal to auto-instrument a webapp hosted in Azure App Service for App Insights without making any code changes. Only the following types of app can be auto-instrumented. See [supported environments and resource providers](https://learn.microsoft.com/azure/azure-monitor/app/codeless-overview#supported-environments-languages-and-resource-providers).

- ASP.NET Core app hosted in Azure App Service
- Node.js app hosted in Azure App Service

Construct a url to bring the user to the Application Insights blade in Azure Portal for the App Service App.
```
https://portal.azure.com/#resource/subscriptions/{subscription_id}/resourceGroups/{resource_group_name}/providers/Microsoft.Web/sites/{app_service_name}/monitoringSettings
```

Use the context or ask the user to get the subscription_id, resource_group_name, and the app_service_name hosting the webapp.
21 changes: 21 additions & 0 deletions skills/appinsights-instrumentation/LICENSE.txt
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MIT License

Copyright 2025 (c) Microsoft Corporation.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE
28 changes: 28 additions & 0 deletions skills/appinsights-instrumentation/NODEJS.md
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## Modify code

Make these necessary changes to the app.

- Install client library
```
npm install @azure/monitor-opentelemetry
```

- Configure the app to use Azure Monitor
A Node.js app typically has an entry file that is listed as the "main" property in package.json. Find this file and apply these changes in it.
- Require the client library at the top. `const { useAzureMonitor } = require("@azure/monitor-opentelemetry");`
- Call the setup method. `useAzureMonitor();`

> Note: The setup method should be called as early as possible but it must be after the environment variables are configured since it needs the App Insights connection string from the environment variable. For example, if the app uses dotenv to load environment variables, the setup method should be called after it but before anything else.
> Note: since we modified the code of the app, it needs to be deployed to take effect.

## Configure App Insights connection string

The App Insights resource has a connection string. Add the connection string as an environment variable of the running app. You can use Azure CLI to query the connection string of the App Insights resource. See [scripts/appinsights.ps1] for what Azure CLI command to execute for querying the connection string.

After getting the connection string, set this environment variable with its value.

```
"APPLICATIONINSIGHTS_CONNECTION_STRING={your_application_insights_connection_string}"
```

If the app has IaC template such as Bicep or terraform files representing its cloud instance, this environment variable should be added to the IaC template to be applied in each deployment. Otherwise, use Azure CLI to manually apply the environment variable to the cloud instance of the app. See what Azure CLI command to execute for setting this environment variable.
48 changes: 48 additions & 0 deletions skills/appinsights-instrumentation/PYTHON.md
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## Modify code

Make these necessary changes to the app.

- Install client library
```
pip install azure-monitor-opentelemetry
```

- Configure the app to use Azure Monitor
Python applications send telemetry via the logger class in Python standard library. Create a module that configures and creates a logger that can send telemetry.

```python
import logging
from azure.monitor.opentelemetry import configure_azure_monitor

configure_azure_monitor(
logger_name="<your_logger_namespace>"
)
logger = logging.getLogger("<your_logger_namespace>")
```

> Note: since we modified the code of the app, it needs to be deployed to take effect.

## Configure App Insights connection string

The App Insights resource has a connection string. Add the connection string as an environment variable of the running app. You can use Azure CLI to query the connection string of the App Insights resource. See [scripts/appinsights.ps1] for what Azure CLI command to execute for querying the connection string.

After getting the connection string, set this environment variable with its value.

```
"APPLICATIONINSIGHTS_CONNECTION_STRING={your_application_insights_connection_string}"
```

If the app has IaC template such as Bicep or terraform files representing its cloud instance, this environment variable should be added to the IaC template to be applied in each deployment. Otherwise, use Azure CLI to manually apply the environment variable to the cloud instance of the app. See what Azure CLI command to execute for setting this environment variable.

## Send data

Create a logger that is configured to send telemetry.
```python
logger = logging.getLogger("<your_logger_namespace>")
logger.setLevel(logging.INFO)
```

Then send telemetry events by calling its logging methods.
```python
logger.info("info log")
```
48 changes: 48 additions & 0 deletions skills/appinsights-instrumentation/SKILL.md
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---
name: appinsights-instrumentation
description: 'Instrument a webapp to send useful telemetry data to Azure App Insights'
---

# 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.md](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.md](ASPNETCORE.md) for how to modify the C# code.
- If the app is a Node.js app, see [NODEJS.md](NODEJS.md) for how to modify the JavaScript/TypeScript code.
- If the app is a Python app, see [PYTHON.md](PYTHON.md) for how to modify the Python code.
30 changes: 30 additions & 0 deletions skills/appinsights-instrumentation/examples/appinsights.bicep
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@description('Location for all resources')
param location string = resourceGroup().location

@description('Name for new Application Insights')
param name string

// Create Log Analytics Workspace
resource logAnalyticsWorkspace 'Microsoft.OperationalInsights/workspaces@2022-10-01' = {
name: '${name}-workspace'
location: location
properties: {
sku: {
name: 'PerGB2018'
}
retentionInDays: 30
}
}

// Create Application Insights
resource applicationInsights 'Microsoft.Insights/components@2020-02-02' = {
name: name
location: location
kind: 'web'
properties: {
Application_Type: 'web'
WorkspaceResourceId: logAnalyticsWorkspace.id
}
}

output connectionString string = applicationInsights.properties.ConnectionString
20 changes: 20 additions & 0 deletions skills/appinsights-instrumentation/scripts/appinsights.ps1
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# Create App Insights resource (3 steps)
## Add the Application Insights extension
az extension add -n application-insights
## Create a Log Analytics workspace
az monitor log-analytics workspace create --resource-group $resourceGroupName --workspace-name $logAnalyticsWorkspaceName --location $azureRegionName
## Create the Application Insights resource
az monitor app-insights component create --app $applicationInsightsResourceName --location $azureRegionName --resource-group $resourceGroupName --workspace $logAnalyticsWorkspaceName

# Query connection string of App Insights
az monitor app-insights component show --app $applicationInsightsResourceName --resource-group $resourceGroupName --query connectionString --output tsv

# Set environment variable of App Service
az webapp config appsettings set --resource-group $resourceGroupName --name $appName --settings $key=$value

# Set environment variable of Container App
# Or update an existing container app
az containerapp update -n $containerAppName -g $resourceGroupName --set-env-vars $key=$value

# Set environment variable of Function App
az functionapp config appsettings set --name $functionName --resource-group $ResourceGroupName --settings $key=$value