julianobarbosa/claude-code-skills/az-aks-agent

Name: az-aks-agent
Author: julianobarbosa

Claude Code and agent skill by julianobarbosa/claude-code-skills

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Azure AKS Agentic CLI - AI-powered troubleshooting and insights tool for Azure Kubernetes Service. Use when diagnosing AKS cluster issues, getting cluster health insights, troubleshooting networking/storage/security problems, or analyzing cluster configuration with natural language queries.

Install

npx vskill@latest install julianobarbosa/claude-code-skills/az-aks-agent

SKILL.md

Azure AKS Agent CLI Skill

Overview

The Agentic CLI for Azure Kubernetes Service (AKS) is an AI-powered troubleshooting and insights tool (currently in preview) that brings advanced diagnostics directly to your terminal. It allows you to ask natural language questions about your cluster's health, configuration, and issues without requiring deep Kubernetes expertise or knowledge of complex command syntax.

Primary Command: az aks agent

Quick Reference

Installation

bash

# Prerequisites: Azure CLI version 2.76 or higher
az version
 
# Install the extension (takes 5-10 minutes)
az extension add --name aks-agent --debug
 
# Verify installation
az extension list
az aks agent --help
 
# Initialize LLM configuration (interactive wizard)
az aks agent-init
 
# Remove extension if needed
az extension remove --name aks-agent --debug

Basic Usage

bash

# Get cluster credentials first
az aks get-credentials --resource-group <rg-name> --name <cluster-name>
 
# Start interactive troubleshooting
az aks agent -g <resource-group> -n <cluster-name>
 
# Ask a specific question
az aks agent -g <resource-group> -n <cluster-name> --query "What's wrong with my cluster?"
 
# Non-interactive mode (batch processing)
az aks agent -g <resource-group> -n <cluster-name> --no-interactive --query "Check pod health"

Workflow Decision Tree

What do you need to do?
├── Cluster Health Check?
│   └── Use: az aks agent --query "What's the health status of my cluster?"
├── Troubleshoot Pod Issues?
│   └── Use: az aks agent --query "Why are my pods failing?"
├── Networking Problems?
│   └── Use: az aks agent --query "Diagnose networking issues"
├── Storage Issues?
│   └── Use: az aks agent --query "Check storage configuration"
├── Security/RBAC Issues?
│   └── Use: az aks agent --query "Review RBAC configuration"
├── Node Pool Problems?
│   └── Use: az aks agent --query "Check node pool health"
└── Configuration Review?
    └── Use: az aks agent --query "Review cluster configuration"

Command Reference

Core Commands

Command	Description
`az aks agent`	Start interactive AI-powered troubleshooting
`az aks agent-init`	Initialize LLM provider configuration
`az aks agent --help`	Show help and available options

Command Parameters

Parameter	Description	Default
`-g, --resource-group`	Resource group name	Required
`-n, --name`	AKS cluster name	Required
`--api-key`	LLM API key	From env or config
`--config-file`	Config file path	`~/.azure/aksAgent.config`
`--max-steps`	Max investigation steps	10
`--model`	LLM model specification	From config
`--no-interactive`	Run in batch mode	false
`--show-tool-output`	Display tool call outputs	false
`--refresh-toolsets`	Refresh toolsets status	false

LLM Model Specifications

bash

# Azure OpenAI
--model "azure/gpt-4o"
--model "azure/gpt-4o-mini"
 
# OpenAI
--model "gpt-4o"
--model "gpt-4o-mini"
 
# Anthropic
--model "anthropic/claude-sonnet-4"
--model "anthropic/claude-3-5-sonnet"
 
# Gemini
--model "gemini/gemini-pro"

Configuration

Environment Variables

bash

# Azure OpenAI API Key
export AZURE_API_KEY="your-azure-openai-key"
 
# OpenAI API Key
export OPENAI_API_KEY="your-openai-key"
 
# Anthropic API Key
export ANTHROPIC_API_KEY="your-anthropic-key"

Config File Structure (~/.azure/aksAgent.config)

yaml

# Azure OpenAI Configuration
llm_provider: azure
azure_api_base: https://<your-endpoint>.openai.azure.com/
azure_api_version: 2025-04-01-preview
model: gpt-4o
 
# OR OpenAI Configuration
llm_provider: openai
model: gpt-4o
 
# OR Anthropic Configuration
llm_provider: anthropic
model: claude-sonnet-4

Azure OpenAI Requirements

Deployment name: Must match model name
Minimum TPM: 1,000,000+ (Tokens Per Minute)
Minimum context size: 128,000+ tokens
API Base Format: https://{endpoint}.openai.azure.com/ (NOT AI Foundry URI)

Common Use Cases

Cluster Health Analysis

bash

# General health check
az aks agent -g myRG -n myCluster --query "What's the overall health of my cluster?"
 
# Node status
az aks agent -g myRG -n myCluster --query "Are all nodes healthy and ready?"
 
# Resource utilization
az aks agent -g myRG -n myCluster --query "Show me resource utilization across nodes"

Pod Troubleshooting

bash

# Failed pods analysis
az aks agent -g myRG -n myCluster --query "Why are pods in CrashLoopBackOff?"
 
# Pending pods
az aks agent -g myRG -n myCluster --query "Why are some pods stuck in Pending state?"
 
# OOMKilled pods
az aks agent -g myRG -n myCluster --query "Investigate OOMKilled containers"

Networking Issues

bash

# Network policy review
az aks agent -g myRG -n myCluster --query "Are there network policies blocking traffic?"
 
# DNS troubleshooting
az aks agent -g myRG -n myCluster --query "Diagnose DNS resolution issues"
 
# Service connectivity
az aks agent -g myRG -n myCluster --query "Why can't pods reach external services?"

Storage Troubleshooting

bash

# PVC issues
az aks agent -g myRG -n myCluster --query "Why are PersistentVolumeClaims pending?"
 
# Storage class review
az aks agent -g myRG -n myCluster --query "Review storage class configuration"

Security Analysis

bash

# RBAC review
az aks agent -g myRG -n myCluster --query "Are RBAC permissions configured correctly?"
 
# Security best practices
az aks agent -g myRG -n myCluster --query "What security improvements do you recommend?"

AKS Events Reference

Viewing Cluster Events

bash

# Get cluster credentials first
az aks get-credentials --resource-group $RESOURCE_GROUP --name $AKS_CLUSTER
 
# List all events
kubectl get events
 
# Filter by namespace
kubectl get events --namespace default
 
# Watch auto-repair events
kubectl get events --field-selector=source=aks-auto-repair --watch
 
# Detailed pod events
kubectl describe pod $POD_NAME

Event Types

Type	Description
`Normal`	Routine operations and expected activities
`Warning`	Potentially problematic situations requiring attention

Common Event Reasons

Reason	Description
`FailedScheduling`	Pod failed to be scheduled on a node
`CrashLoopBackOff`	Container is in a restart loop
`Scheduled`	Pod successfully assigned to a node
`Pulled`	Container image successfully pulled
`Created`	Container created
`Started`	Container started
`OOMKilled`	Container killed due to out of memory

Event Fields

Field	Description
`type`	Warning or Normal
`reason`	Short reason code
`message`	Human-readable description
`namespace`	Kubernetes namespace
`firstSeen`	First observation timestamp
`lastSeen`	Most recent observation
`object`	Associated Kubernetes object

Best Practices

Effective Query Strategies

Start broad, then narrow

``bash # Start with general health "What's wrong with my cluster?" # Then focus on specific issues "Why are pods in namespace X failing?" ``

Provide context about symptoms

``bash "Pods are restarting frequently in the production namespace" "Services are experiencing intermittent timeouts" ``

Ask for specific recommendations

``bash "What changes do you recommend to improve cluster performance?" "How can I fix the networking issues you identified?" ``

Request historical analysis

``bash "What patterns do you see in recent pod failures?" "Have there been any unusual events in the last 24 hours?" ``

Security Considerations

Ensure proper RBAC permissions are configured
Use Azure AD integration for authentication
Follow principle of least privilege
Audit command usage through Azure activity logs
Service account tokens for automation

Integration Tips

Combine with traditional monitoring: Use alongside Azure Monitor and Container Insights
Proactive monitoring: Run health checks regularly
Document findings: Save important diagnostic outputs
Enable Container Insights: For events beyond 1-hour retention

Troubleshooting the Agent

Installation Issues

bash

# Verify Azure CLI version
az version
 
# Upgrade Azure CLI if needed
az upgrade
 
# Force reinstall extension
az extension remove --name aks-agent
az extension add --name aks-agent --debug

Authentication Issues

bash

# Verify Azure login
az account show
 
# Re-authenticate
az login
 
# Check subscription
az account set --subscription <subscription-id>

LLM Connection Issues

bash

# Reinitialize LLM configuration
az aks agent-init
 
# Check API key environment variable
echo $AZURE_API_KEY
 
# Test with explicit API key
az aks agent -g myRG -n myCluster --api-key "your-key"

Rate Limiting

Symptom: Slow responses or errors
Solution: Increase TPM quota in Azure OpenAI deployment
Minimum recommended: 1,000,000 TPM

Important Notes

Preview Feature: This is currently in preview with limited warranty coverage
Not for Production Critical: Not recommended for production-critical decision making
Event Retention: Kubernetes events only persist for 1 hour by default
Context Window: Requires 128,000+ token context for optimal performance
Authentication: Always authenticate with az login before using

Resources

References

Core References

references/cli-commands.md - Complete CLI command reference
references/troubleshooting.md - Extended troubleshooting guide
references/examples.md - Practical usage examples

Diagnostics & Monitoring

references/diagnostics.md - AKS Diagnose and Solve Problems guide
references/monitoring.md - Comprehensive AKS monitoring guide
references/control-plane-metrics.md - Control plane metrics (API Server, etcd)

Troubleshooting Guides

references/kubelet-logs.md - Kubelet logs access and analysis
references/memory-saturation.md - Memory saturation identification and resolution
references/node-auto-repair.md - Node auto-repair process and monitoring
references/api-server-etcd.md - API server and etcd troubleshooting

External Documentation

Gotchas

This is the start of the file. Read the full SKILL.md on GitHub.

Security

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Source

SKILL.md in the repositoryCheckingskills/az-aks-agent/SKILL.md

Popularity

Repository stars: 84
Repository forks: 18
7-day trend score: 22

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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