fjrg2007/enigma/azure-diagnostics
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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, 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.
Install
npx vskill@latest install fjrg2007/enigma/azure-diagnosticsSKILL.md
The same SKILL.md was published earlier as midudev/autoskills/azure-diagnostics.
Azure Diagnostics
AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCEThis 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 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 | |
| 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 Messaging SDK troubleshooting (Event Hubs, Service Bus) to Messaging Troubleshooting.
Quick Reference
Common Diagnostic Commands
AppLens (MCP Tools)
For AI-powered diagnostics, use:
Azure Monitor (MCP Tools)
For querying logs and metrics:
See kql-queries.md for common diagnostic queries.
Check Azure Resource Health
Using MCP
Using CLI
References
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingassets/skills-registry/azure-diagnostics/SKILL.md
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