Can I use this skill to deploy new Azure resources?

No, this skill is specifically optimized for debugging and troubleshooting existing production issues. For deployment and resource creation, use the 'azure-deploy' or 'azure-prepare' skills.

How does it use AI for diagnostics?

The skill utilizes the AppLens MCP tool to provide automated issue detection, root cause analysis, and specific remediation recommendations based on your unique resource ID.

What services are currently covered by the troubleshooting guides?

It features deep-dive diagnostics for Azure Container Apps, including fixes for cold starts, port mismatches, and health probe failures, alongside general Azure resource health checks.

Does it support Kusto Query Language (KQL)?

Yes, it provides specialized guidance and a query library for using KQL to analyze logs via Azure Monitor integration.

Azure Diagnostics

Name: Azure Diagnostics
Author: MoonAxis

byMoonAxis

•

Analytics & Monitoring

Troubleshoots and resolves production issues across Azure services using systematic diagnosis flows and AI-powered insights.

Azure Diagnostics is a specialized skill for Claude Code designed to identify and remediate production bottlenecks, errors, and performance issues within the Azure ecosystem. By integrating directly with MCP tools like AppLens and Azure Monitor, the skill facilitates rapid root cause analysis for Container Apps, image pull failures, and cold starts through KQL log analysis and resource health monitoring. It provides an authoritative framework for developers to move from symptom identification to remediation systematically, ensuring high availability for cloud-native applications.

Key Features

01Advanced log analysis using Kusto Query Language (KQL)

022 GitHub stars

03Specialized troubleshooting guides for Azure Container Apps

04Systematic diagnosis workflow for rapid root cause identification

05Real-time Azure Resource Health and Activity Log monitoring

06AI-powered issue detection via AppLens MCP integration

Use Cases

01Analyzing production logs with KQL to find the root cause of application-level errors

02Investigating why a Container App is failing health probes or stuck in an image pull loop

03Checking Azure service health to determine if an outage is regional or resource-specific

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add moonaxis/azure-stack azure-diagnostics

For use in Claude.ai and ChatGPT

Key Features

01Advanced log analysis using Kusto Query Language (KQL)

022 GitHub stars

03Specialized troubleshooting guides for Azure Container Apps

04Systematic diagnosis workflow for rapid root cause identification

05Real-time Azure Resource Health and Activity Log monitoring

06AI-powered issue detection via AppLens MCP integration

Use Cases

01Analyzing production logs with KQL to find the root cause of application-level errors

02Investigating why a Container App is failing health probes or stuck in an image pull loop

03Checking Azure service health to determine if an outage is regional or resource-specific

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add moonaxis/azure-stack azure-diagnostics

For use in Claude.ai and ChatGPT