Agent skill · DevOps & Cloud

azure-resource-health-diagnose

Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.

GitHub68,948★ · +463/wk · 2 repos on radarProfile →
copilotMIT
Install
npx skills add github/awesome-copilot --skill azure-resource-health-diagnose --agent copilot

Same command for any agent — swap --agent for claude-code, codex, cursor.

Facts
Files in the skill folder: 1
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/azure-resource-health-diagnose/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 37,432 · +281 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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**: 1. **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 ### Step 2: Resource Discovery & Identification **Action**: Locate and identify the target Azure resource **Tools**: Azure MCP tools + Azure CLI fallback **Process**: 1. **Resource Lookup**: - If only resource name provided: Search

What's inside
Steps it walks through
  1. Prerequisites
  2. Workflow Steps
  3. Step 1: Get Azure Best Practices
  4. Step 2: Resource Discovery & Identification
  5. Step 3: Health Status Assessment
  6. Step 4: Log & Telemetry Analysis
  7. Step 5: Issue Classification & Root Cause Analysis
  8. Step 6: Generate Remediation Plan
  9. Step 7: User Confirmation & Report Generation
  10. Error Handling
  11. Success Criteria
More from awesome-copilot
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About this skill
What does the azure-resource-health-diagnose skill do?

Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.

How do I install it?

Run `npx skills add github/awesome-copilot --skill azure-resource-health-diagnose --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going