Azure Resource Health Diagnose
The azure-resource-health-diagnose skill analyzes Azure resources to assess their health status, diagnoses issues by examining logs and telemetry data, and generates a remediation plan for identified problems. It supports multiple Azure resource types including virtual machines, web apps, databases, and storage accounts, using Azure MCP tools and CLI commands to gather diagnostic data. This skill solves the problem of quickly identifying and resolving Azure resource failures and performance issues for cloud infrastructure operators and DevOps teams.
- skills.sh installs
- 8.7K
- GitHub stars
- 41K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add github/awesome-copilot --skill azure-resource-health-diagnose --agent claude-codeInstalls into .claude/skills of the current project.
Files
Azure Resource Health & Issue Diagnosis
This workflow analyzes a specific Azure resource to assess its health status, diagnose potential issues using logs and telemetry data, and develop a comprehensive remediation plan for any problems discovered.
Prerequisites
- Azure MCP server configured and authenticated
- Target Azure resource identified (name and optionally resource group/subscription)
- Resource must be deployed and running to generate logs/telemetry
- Prefer Azure MCP tools (
azmcp-*) over direct Azure CLI when available
Workflow Steps
Step 1: Get Azure Best Practices
Action: Retrieve diagnostic and troubleshooting best practices Tools: Azure MCP best practices tool Process:
- Load Best Practices:
- Execute Azure best practices tool to get diagnostic guidelines
- Focus on health monitoring, log analysis, and issue resolution patterns
- Use these practices to inform diagnostic approach and remediation recommendations
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