Appinsights Instrumentation

🏢Official
by github · vlatest · Repository

Automatically instruments GitHub Apps with Application Insights telemetry for enhanced performance monitoring and debugging.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add github-appinsights-instrumentation npx -- -y @trustedskills/github-appinsights-instrumentation
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "github-appinsights-instrumentation": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/github-appinsights-instrumentation"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The github-appinsights-instrumentation skill enables AI agents to integrate and utilize Application Insights for monitoring, logging, and analyzing application performance within GitHub workflows. It provides tools to track events, exceptions, and custom metrics in real time, helping developers identify issues quickly and optimize their applications.

When to use it

  • To monitor the performance of a deployed application hosted on GitHub Actions or integrated with Azure.
  • When debugging complex workflows by capturing detailed logs and telemetry data.
  • For setting up alerts based on specific performance thresholds or error rates in CI/CD pipelines.
  • To gather insights into user behavior within an app that is connected to GitHub repositories.

Key capabilities

  • Real-time monitoring of application events and exceptions
  • Integration with Azure Application Insights for centralized logging
  • Custom metric tracking tailored to GitHub workflows
  • Support for telemetry data collection during CI/CD processes

Example prompts

  • "Instrument my GitHub Actions workflow with Application Insights."
  • "Set up custom metrics for user activity in my app connected to this repository."
  • "Generate a report on the most frequent exceptions from the last deployment."

Tips & gotchas

  • Ensure your application is properly configured with Azure Application Insights before using this skill.
  • Be mindful of data volume limits and costs associated with extensive telemetry collection.

Tags

🛡️

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Details

Version
vlatest
License
Author
github
Installs
4.3k

🏢 Official

Published by the company or team that built the technology.