azure-aks
azure-aks is an engineering AI skill with a core value of Deploy and manage Azure Kubernetes Service clusters. It
helps developers solve real-world problems in the engineering domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Deploy and manage Azure Kubernetes Service clusters. Configure node pools, networking, and integrations. Use when running Kubernetes workloads on Azure.
Quick Facts
mkdir -p ./skills/azure-aks && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/azure-aks/SKILL.md -o ./skills/azure-aks/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Azure Kubernetes Service
Deploy and manage production-grade Kubernetes clusters on Azure with AKS. Covers cluster creation, node pool management, networking, ingress controllers, monitoring, security, and Terraform-based provisioning.
When to Use
- You need managed Kubernetes without maintaining control plane infrastructure.
- Your workloads require container orchestration with auto-scaling.
- You need tight integration with Azure AD, Key Vault, and Container Registry.
- You are running microservices that require service mesh, ingress, or network policies.
- You need GPU or spot node pools for specialized or cost-optimized workloads.
Prerequisites
# Install Azure CLI and kubectl
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
az aks install-cli
# Login and set subscription
az login
az account set --subscription "my-subscription-id"
# Register required providers
az provider register --namespace Microsoft.ContainerService
az provider register --namespace Microsoft.OperationsManagement
# Verify kubectl
kubectl version --clientCluster Creation
Basic Production Cluster
# Create resource group
az group create --name myapp-rg --location eastus
# Create AKS cluster with best-practice defaults
az aks create \
--resource-group myapp-rg \
--name myapp-aks \
--node-count 3 \
--node-vm-size Standard_D4s_v5 \
--enable-managed-identity \
--enable-cluster-autoscaler \
--min-count 2 \
--max-count 10 \
--network-plugin azure \
--network-policy calico \
--service-cidr 10.1.0.0/16 \
--dns-service-ip 10.1.0.10 \
--vnet-subnet-id "/subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.Network/virtualNetworks/{vnet}/subnets/{subnet}" \
--enable-aad \
--aad-admin-group-object-ids "{aad-group-id}" \
--enable-azure-rbac \
--zones 1 2 3 \
--generate-ssh-keys \
--tags environment=prod team=platform
# Get cluster credentials
az aks get-credentials --resource-group myapp-rg --name myapp-aks
# Verify cluster access
kubectl get nodes -o wide
kubectl cluster-infoPrivate Cluster
az aks create \
--resource-group myapp-rg \
--name myapp-private-aks \
--node-count 3 \
--node-vm-size Standard_D4s_v5 \
--enable-managed-identity \
--enable-private-cluster \
--private-dns-zone system \
--network-plugin azure \
--vnet-subnet-id "/subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.Network/virtualNetworks/{vnet}/subnets/{subnet}" \
--generate-ssh-keysNode Pool Management
# Add a user node pool for application workloads
az aks nodepool add \
--resource-group myapp-rg \
--cluster-name myapp-aks \
--name apppool \
--node-count 3 \
--node-vm-size Standard_D8s_v5 \
--mode User \
--enable-cluster-autoscaler \
--min-count 2 \
--max-count 15 \
--zones 1 2 3 \
--labels workload=app tier=frontend \
--node-taints dedicated=app:NoSchedule \
--max-pods 50
# Add GPU node pool for ML workloads
az aks nodepool add \
--resource-group myapp-rg \
--cluster-name myapp-aks \
--name gpupool \
--node-count 1 \
--node-vm-size Standard_NC6s_v3 \
--mode User \
--enable-cluster-autoscaler \
--min-count 0 \
--max-count 4 \
--node-taints sku=gpu:NoSchedule \
--labels workload=ml
# Add spot instance pool for batch workloads
az aks nodepool add \
--resource-group myapp-rg \
--cluster-name myapp-aks \
--name spotpool \
--node-count 2 \
--node-vm-size Standard_D4s_v5 \
--priority Spot \
--eviction-policy Delete \
--spot-max-price -1 \
--enable-cluster-autoscaler \
--min-count 0 \
--max-count 20 \
--labels workload=batch
# Scale a node pool manually
az aks nodepool scale \
--resource-group myapp-rg \
--cluster-name myapp-aks \
--name apppool \
--node-count 5
# Upgrade a node pool
az aks nodepool upgrade \
--resource-group myapp-rg \
--cluster-name myapp-aks \
--name apppool \
--kubernetes-version 1.28.3
# List node pools
az aks nodepool list \
--🎯 Best For
- Claude users
- AI users
💡 Use Cases
- Using azure-aks in daily workflow
- Automating repetitive engineering tasks
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply azure-aks to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
How do I install azure-aks?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/azure-aks/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.