AGENT SKILL

appinsights-instrumentation

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

License 许可
MIT
最近更新
2026-11-13
Stars
★ 4.1w
Forks
5.3k

01 前言 Front Matter

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

02 资源文件 12

03 SKILL.md 正文

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 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.

04 同仓库更多 Skills

github
github/awesome-copilot

supabase-rls-policies

Write, review, and test Supabase Row Level Security (RLS) policies so that one user cannot read or change another user's rows. Use when creating or changing tables, policies, views, or security definer functions in a Supabase project, when reviewing a migration that touches RLS, or when asked to prove user isolation with pgTAP tests that sign in as two users.

测试与质量Skill与智能体开发
★ 4.1w
github
github/awesome-copilot

skill-distribution-audit

Audit a skill collection before release or investigate installer omissions, archived/template leakage, duplicate identities, and manifest drift. Reconcile the intended public source set, distribution manifest, and actual discovery output for a specified consumer version. Includes a deterministic set-comparison helper.

Skill与智能体开发
★ 4.1w
github
github/awesome-copilot

logicapps-custom-code-net10-migration

Migrate Azure Logic Apps Standard local-function custom-code projects from .NET 8 to .NET 10. Use for legacy Logic Apps custom-code workspace upgrades, project/package configuration, custom-worker settings, publication, and integrated VS Code debugging. Not for ordinary .NET applications, standalone Azure Functions, Consumption workflows, or cloud deployment.

开发工程师
★ 4.1w
github
github/awesome-copilot

winmd-api-search

Find and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI/ML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).

开发工程师后端与接口
★ 4.1w
github
github/awesome-copilot

resemble-detect

Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI

后端与接口图像与多媒体
★ 4.1w
github
github/awesome-copilot

quality-playbook

Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.

代码审查Skill与智能体开发
★ 4.1w