Skills ZICQ category：Agent Workflows appinsights-instrumentation

Appinsights Instrumentation

Instrument a webapp to send useful telemetry data to Azure App Insights

9524 installs

Official URL：skills.sh

What this skill does

Intro in this page language first. The official description stays in its original wording; we do not rewrite SKILL.md.

What it does

Instrument a webapp to send useful telemetry data to Azure App Insights

When to use it

this skill

How agents load it

Per Agent Skills progressive disclosure: name and description load at startup (~100 tokens); the full SKILL.md body loads when the skill activates; scripts/, references/, and assets/ load only as needed. This file's sections: AppInsights instrumentation; When to use this skill; Prerequisites; Guidelines; Collect context information; Prefer auto-instrument if possible.

File analysis

File analysis: besides SKILL.md, the body references references/AUTO.md, scripts/appinsights.ps1, references/ASPNETCORE.md, references/NODEJS.md, references/PYTHON.md. Those resources load on demand.

AppInsights instrumentationWhen to use this skillPrerequisitesGuidelinesCollect context informationPrefer auto-instrument if possibleManually instrument

Source category：skills.sh agent-skill

Sources & links

Market sources：skills.sh

Full package on GitHub

OSS Skill ranking

SKILL.md & Agent activation

Official spec ↗

name: appinsights-instrumentation
description: Instrument a webapp to send useful telemetry data to Azure App Insights

DiscoverThe client exposes names and descriptions to the agent.
ActivateYour request or the task context selects the skill and loads its instructions.
Load resourcesReferenced scripts, documentation and assets are used when needed.

Files referenced by the instructions · 5

references/AUTO.md
scripts/appinsights.ps1
references/ASPNETCORE.md
references/NODEJS.md
references/PYTHON.md

These paths are extracted from the text. Check the upstream package to verify the files exist.

Invocation syntax and available tools depend on your Agent client. Client integration guide ↗

Install this skill

Skills CLI ↗

Choose the target agent and installation scope, keep referenced package files, then verify the skill appears in the client's catalog.

This skill references supporting files. Retrieve the complete directory from the source; copying SKILL.md alone may leave missing dependencies.

Ask your Agent to install

Copy these instructions to a compatible agent and confirm the target directory matches your client.

Install the agent skill "appinsights-instrumentation" into my project. The full SKILL.md and official description are at https://zicq.com/en/skills/skl-00ab0f12b05e3e19-Appinsights-Instrumentation.html
Save it as .cursor/skills/appinsights-instrumentation/SKILL.md or .claude/skills/appinsights-instrumentation/SKILL.md and keep the frontmatter name and description exactly as-is.
This skill also ships scripts/, references/, or assets/ — fetch the whole folder from https://github.com/github/awesome-copilot instead of creating only a SKILL.md.

Full package on GitHub ↗

Install from the terminal · Skills CLI

Requires Node.js and npx. First inspect the repository's skill list to confirm the name.

npx skills add 'https://github.com/github/awesome-copilot' --list

Target agent Installation scope

npx skills add 'https://github.com/github/awesome-copilot' --skill 'appinsights-instrumentation'

The CLI lets you choose the agent interactively. The default scope is the project; use -g for user scope. Confirm package availability with the discovery command, then use npx skills list to inspect installed skills.

SKILL.md source Copy freely; the source file is unchanged

---
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 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.

Readable layout

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

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