azure-vms
azure-vms is an engineering AI skill with a core value of Manage Azure Virtual Machines and scale sets. It
helps developers solve real-world problems in the engineering domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Manage Azure Virtual Machines and scale sets. Configure availability sets and managed disks. Use when deploying compute resources on Azure.
Quick Facts
mkdir -p ./skills/azure-vms && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/azure-vms/SKILL.md -o ./skills/azure-vms/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Azure Virtual Machines
Deploy and manage Azure VMs, availability sets, scale sets, custom images, and managed disks. Covers VM creation, sizing, disk management, auto-scaling, and Terraform configurations for production environments.
Prerequisites
# Install Azure CLI
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
# Login and set subscription
az login
az account set --subscription "my-subscription-id"
# Create resource group
az group create --name compute-rg --location eastus
# List available VM sizes in a region
az vm list-sizes --location eastus --output table
# List available VM images
az vm image list --output table
az vm image list --publisher Canonical --offer 0001-com-ubuntu-server-jammy --all --output tableVM Creation
Linux VM with SSH Key
az vm create \
--resource-group compute-rg \
--name myapp-vm \
--image Ubuntu2204 \
--size Standard_D4s_v5 \
--admin-username azureuser \
--generate-ssh-keys \
--vnet-name myapp-vnet \
--subnet app-subnet \
--nsg "" \
--public-ip-address "" \
--os-disk-size-gb 64 \
--os-disk-caching ReadWrite \
--storage-sku Premium_LRS \
--zone 1 \
--assign-identity \
--tags environment=prod team=platform app=myapp
# SSH into the VM (if public IP assigned)
ssh azureuser@$(az vm show -g compute-rg -n myapp-vm -d --query publicIps -o tsv)Windows VM
az vm create \
--resource-group compute-rg \
--name myapp-win-vm \
--image Win2022Datacenter \
--size Standard_D4s_v5 \
--admin-username azureadmin \
--admin-password 'S3cur3P@ssw0rd!' \
--vnet-name myapp-vnet \
--subnet app-subnet \
--public-ip-address "" \
--os-disk-size-gb 128 \
--storage-sku Premium_LRS \
--zone 1VM with Cloud-Init
# cloud-init.yaml
# #cloud-config
# package_update: true
# packages:
# - nginx
# - docker.io
# runcmd:
# - systemctl enable nginx
# - systemctl start nginx
# - usermod -aG docker azureuser
az vm create \
--resource-group compute-rg \
--name web-vm \
--image Ubuntu2204 \
--size Standard_B2s \
--admin-username azureuser \
--generate-ssh-keys \
--custom-data cloud-init.yaml \
--tags role=webVM Size Guide
| Family | Example Sizes | Use Case |
|--------|---------------|----------|
| B-series | Standard_B1s, Standard_B2s | Dev/test, low-traffic web servers |
| D-series | Standard_D4s_v5, Standard_D8s_v5 | General purpose, most production workloads |
| E-series | Standard_E4s_v5, Standard_E16s_v5 | Memory-intensive (databases, caching) |
| F-series | Standard_F4s_v2, Standard_F16s_v2 | CPU-intensive (batch processing, analytics) |
| L-series | Standard_L8s_v3, Standard_L32s_v3 | Storage-optimized (big data, SQL) |
| N-series | Standard_NC6s_v3, Standard_NC24ads_A100_v4 | GPU workloads (ML training, rendering) |
| M-series | Standard_M128s | SAP HANA, large in-memory workloads |
# Find VM sizes with specific capabilities
az vm list-sizes --location eastus \
--query "[?numberOfCores >= \`4\` && memoryInMb >= \`16000\`]" \
--output table
# Check VM size availability in a zone
az vm list-skus --location eastus \
--size Standard_D4s_v5 \
--output tableManaged Disks
# Add a data disk to existing VM
az vm disk attach \
--resource-group compute-rg \
--vm-name myapp-vm \
--name myapp-data-disk \
--size-gb 256 \
--sku Premium_LRS \
--new \
--lun 0
# Create a standalone managed disk
az disk create \
--resource-group compute-rg \
--name shared-data-disk \
--size-gb 512 \
--sku Premium_LRS \
--zone 1
# Resize a disk (VM must be deallocated)
az vm deallocate --resource-group compute-rg --name myapp-vm
az disk update \
--resource-group compute-rg \
--name myapp-data-disk \
--size-gb 512
az vm start --resource-group compute-rg --name myapp-vm
# Snapshot a disk for backup
az snapshot create \
--resource-group compute-rg \
--name myapp-disk-snapshot \
--source myapp-data-disk
# Create disk from sn🎯 Best For
- Claude users
- AI users
💡 Use Cases
- Using azure-vms 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-vms 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-vms?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/azure-vms/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.