Appinsights-Instrumentation
Appinsights-Instrumentation是一款code方向的AI技能,核心价值是Instrument a webapp to send useful telemetry data to Azure App Insights,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Instrument a webapp to send useful telemetry data to Azure App Insights
mkdir -p ./skills/appinsights-instrumentation && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/appinsights-instrumentation/SKILL.md -o ./skills/appinsights-instrumentation/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# 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.
🎯 Best For
- Claude users
- GitHub Copilot users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Appinsights-Instrumentation to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Appinsights-Instrumentation compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Appinsights-Instrumentation?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Appinsights-Instrumentation?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/appinsights-instrumentation/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.