AppInsights Instrumentation Guide
OfficialThis guide helps you effectively instrument your apps with Microsoft App Insights for detailed performance monitoring and troubleshooting, boosting DevOps efficiency.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add microsoft/github-copilot-for-azure --skill appinsights-instrumentation --full-depth -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
microsoft
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned microsoft/github-copilot-for-azure at f2526ae581.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f2526ae581
- Scanned
- 13 files, 466 lines
About this skill
What it does
The appinsights-instrumentation skill enables AI agents to integrate and configure Application Insights for monitoring applications. It provides the ability to add telemetry, track performance metrics, and log events directly within codebases, helping developers identify issues in real time.
When to use it
- When setting up application monitoring for a new or existing project.
- To automatically inject instrumentation code into applications during development or deployment pipelines.
- For troubleshooting performance bottlenecks or errors in production environments.
- When integrating with Azure services that rely on Application Insights data for analytics and alerts.
Key capabilities
- Automatic injection of Application Insights SDK into application code.
- Configuration of telemetry modules such as request tracking, exception logging, and custom events.
- Support for multiple programming languages including C#, JavaScript, Python, and more.
- Integration with Azure Monitor for centralized log management and analysis.
Example prompts
- "Instrument my ASP.NET Core app with Application Insights."
- "Add custom event tracking to a Node.js application using Application Insights."
- "Configure Application Insights to monitor exceptions in a Python Flask service."
Tips & gotchas
- Ensure your Azure resources are correctly configured before using this skill.
- Some advanced features may require additional setup or permissions within Azure.