Azure Diagnostics

OrganizationPopular

microsoft

azure-diagnostics

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, service bus dead letter.

Overview

Publisher	microsoft
Repository	`azure-skills`
Skill name	`azure-diagnostics`
Stars	1.5K
Forks	246
Bundled files	46
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
46 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by microsoft on GitHub. Read the source before you install it.

Installation

Install the Azure Diagnostics AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/microsoft/azure-skills.git /tmp/azure-skills
mkdir -p .claude/skills
cp -r /tmp/azure-skills/skills/azure-diagnostics .claude/skills/azure-diagnostics

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Diagnostics in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure Diagnostics on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure Diagnostics is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Azure Diagnostics

AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE

This document is the official source for debugging and troubleshooting Azure production issues. Follow these instructions to diagnose and resolve common Azure service problems systematically.

Triggers

Activate this skill when user wants to:

Debug or troubleshoot production issues
Diagnose errors in Azure services
Analyze application logs or metrics
Fix image pull, cold start, or health probe issues
Investigate why Azure resources are failing
Find root cause of application errors
Troubleshoot App Service issues (high CPU, deployment failures, crashes, slow responses, TLS/custom domains)
Respond to prompts like "troubleshoot app service", "app service high CPU", or "app service deployment failure"
Troubleshoot Azure Function Apps (invocation failures, timeouts, binding errors)
Find the App Insights or Log Analytics workspace linked to a Function App
Troubleshoot AKS clusters, nodes, pods, ingress, or Kubernetes networking issues
Troubleshoot Azure VM connectivity issues (RDP/SSH failures, port 3389/22 timeouts, NSG or firewall blocking, credential resets)
Troubleshoot Azure Messaging SDK issues (Event Hubs, Service Bus connection failures, AMQP errors, message lock issues)

Rules

Start with systematic diagnosis flow
Use AppLens (MCP) for AI-powered diagnostics when available
Check resource health before deep-diving into logs
Select appropriate troubleshooting guide based on service type
Document findings and attempted remediation steps
Route AKS incidents to the dedicated AKS troubleshooting document

Quick Diagnosis Flow

Identify symptoms - What's failing?
Check resource health - Is Azure healthy?
Review logs - What do logs show?
Analyze metrics - Performance patterns?
Investigate recent changes - What changed?

Troubleshooting Guides by Service

Service	Common Issues	Reference
Container Apps	Image pull failures, cold starts, health probes, port mismatches	container-apps/
App Service	High CPU, deployment failures, crashes, slow responses, TLS/custom domains	app-service/
Function Apps	App details, invocation failures, timeouts, binding errors, cold starts, missing app settings	functions/
AKS	Cluster access, nodes, `kube-system`, scheduling, crash loops, ingress, DNS, upgrades	AKS Troubleshooting
Compute	VM RDP/SSH connectivity, NSG/firewall blocks, credential resets, VM agent/tooling issues	VM Connectivity Troubleshooting
Messaging	Event Hubs & Service Bus SDK errors, AMQP failures, message lock, connectivity	Messaging Troubleshooting

Routing

Keep Container Apps and Function Apps diagnostics in this parent skill.
Route active AKS incidents, AKS-specific intake, evidence gathering, and remediation guidance to AKS Troubleshooting.
Route Azure VM RDP/SSH connectivity, NSG/firewall, credential reset, and VM agent troubleshooting to VM Connectivity Troubleshooting.
Route Azure Messaging SDK troubleshooting (Event Hubs, Service Bus) to Messaging Troubleshooting.

Quick Reference

Common Diagnostic Commands

bash
# Check resource health
az resource show --ids RESOURCE_ID
# View activity log
az monitor activity-log list -g RG --max-events 20
# Container Apps logs
az containerapp logs show --name APP -g RG --follow
# Function App logs (query App Insights traces)
az monitor app-insights query --apps APP-INSIGHTS -g RG \
  --analytics-query "traces | where timestamp > ago(1h) | order by timestamp desc | take 50"

AppLens (MCP Tools)

For AI-powered diagnostics, use:


mcp_azure_mcp_applens
  intent: "diagnose issues with <resource-name>"
  command: "diagnose"
  parameters:
    resourceId: "<resource-id>"

Provides:
- Automated issue detection
- Root cause analysis
- Remediation recommendations

Azure Monitor (MCP Tools)

For querying logs and metrics:


mcp_azure_mcp_monitor
  intent: "query logs for <resource-name>"
  command: "logs_query"
  parameters:
    workspaceId: "<workspace-id>"
    query: "<KQL-query>"

See kql-queries.md for common diagnostic queries.

Check Azure Resource Health

Using MCP


mcp_azure_mcp_resourcehealth
  intent: "check health status of <resource-name>"
  command: "get"
  parameters:
    resourceId: "<resource-id>"

Using CLI

bash
# Check specific resource health
az resource show --ids RESOURCE_ID

# Check recent activity
az monitor activity-log list -g RG --max-events 20

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Azure Diagnostics AI skill do?

Why use Azure Diagnostics on TypingMind?

Because you install it once and use it with any model. Azure Diagnostics is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure Diagnostics in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/azure-skills/tree/main/skills/azure-diagnostics. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Azure Diagnostics?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure Diagnostics?

As many as you like. As long as a model supports skills, you can use Azure Diagnostics with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure Diagnostics AI skill free?

Yes. It is published on GitHub by microsoft under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Azure Diagnostics

Triggers

Rules

Quick Diagnosis Flow

Troubleshooting Guides by Service

Routing

Quick Reference

Common Diagnostic Commands

AppLens (MCP Tools)

Azure Monitor (MCP Tools)

Check Azure Resource Health

Using MCP

Using CLI

References

Bundled files

Frequently asked questions

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