Azure Diagnostics

🏢Official
by microsoft · vlatest · Repositoryskills.sh

Retrieve detailed Azure resource health, metrics, and logs to troubleshoot issues and optimize performance.

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 azure-diagnostics npx -- -y @trustedskills/azure-diagnostics
2

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

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

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

About This Skill

What it does

The Azure Diagnostics skill enables AI agents to analyze, interpret, and troubleshoot diagnostic data from Microsoft Azure environments. It supports querying logs, monitoring performance metrics, and identifying anomalies in cloud infrastructure.

When to use it

  • To investigate errors or failures in Azure virtual machines or applications
  • For real-time monitoring of resource usage and performance trends
  • When diagnosing issues related to network connectivity or storage performance

Key capabilities

  • Querying Azure Monitor logs for troubleshooting
  • Analyzing metrics from Azure resources like VMs, databases, and apps
  • Generating insights based on diagnostic data for proactive issue resolution

Example prompts

  • "Show me the last 24 hours of error logs from my Azure web app."
  • "Analyze CPU usage trends across all virtual machines in my subscription."
  • "Identify potential bottlenecks in my Azure storage account performance."

Tips & gotchas

  • Ensure your AI agent has access to Azure Monitor and the necessary permissions for log retrieval.
  • Diagnostic data may be limited by retention policies or cost constraints, so review these before querying large datasets.

Tags

🛡️

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Details

Version
vlatest
License
Author
microsoft
Installs
104.4k

🏢 Official

Published by the company or team that built the technology.