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jonathan-vella
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azure-diagnostics

Diagnose and troubleshoot Azure production issues using CLI, Monitor, and AppLens data analysis.

6|2|Updated Jan 29, 2026
Search Tags:#troubleshooting#azure#log analysis#diagnostics#metric analysis
One-click install
npx skills add https://github.com/jonathan-vella/azure-smb-rf --skill azure-diagnostics-jonathan-vella
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-diagnostics
Source: https://github.com/jonathan-vella/azure-smb-rf/tree/main/.github/skills/azure-diagnostics
Command: npx skills add https://github.com/jonathan-vella/azure-smb-rf --skill azure-diagnostics-jonathan-vella

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires az, mcp_azure_mcp_applens, mcp_azure_mcp_monitor, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a structured approach to diagnose and troubleshoot Azure production issues, offering guidance on debugging, error analysis, and resolution.

Core Features & Use Cases

  • Systematic Diagnosis: Follows a structured diagnosis flow to quickly identify and resolve issues.
  • AI-Powered Diagnostics: Utilizes AppLens for AI-driven diagnostics.
  • Resource Health Checks: Offers commands to check Azure resource health.
  • Log and Metric Analysis: Provides guidance on analyzing logs and metrics using KQL.
  • Troubleshooting Guides: Offers troubleshooting guides for common Azure services like Container Apps and Function Apps.

Quick Start

Activate the azure-diagnostics skill to start troubleshooting Azure production issues.

Frequently Asked Questions about azure-diagnostics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I diagnose and troubleshoot Azure production issues?▼

To diagnose Azure production issues, this Skill applies a structured diagnosis flow using AI-powered diagnostics, resource health checks, and log/metric analysis to quickly identify and resolve errors in your Azure resources.

What's the best way to analyze Azure logs and metrics using KQL?▼

Analyzing Azure logs and metrics is handled through guided KQL queries, allowing you to inspect Azure Monitor data and pinpoint performance anomalies or errors within your deployed resources.

Do I need Azure CLI and Azure Monitor to troubleshoot Azure services?▼

Yes, troubleshooting Azure services requires Azure CLI and Azure Monitor for execution, as the diagnostic process depends on these tools to run resource health checks and access telemetry data.

Can I use AI-powered diagnostics for Azure Container Apps and Function Apps?▼

Yes, AI-powered diagnostics are available for Azure Container Apps and Function Apps, utilizing AppLens to provide targeted troubleshooting guides and analyze resource-specific health conditions.

How does resource health checking work for Azure production errors?▼

Resource health checking works by querying your Azure resources through CLI to detect platform-level issues, which is then combined with metric analysis to isolate the root cause of production errors.

Why is my Azure troubleshooting not resolving the production issue?▼

If Azure troubleshooting is not resolving the issue, you may need to review deeper metric analysis or verify if the problem stems from a platform-level resource health event rather than application code.

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