Build Azure managed images and Azure Compute Gallery images using Packer's azure-arm builder.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionazure-image-builderExecute the skills CLI command in your project's root directory to begin installation:
Fetches azure-image-builder from hashicorp/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate azure-image-builder. Access via /azure-image-builder in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
0
total installs
0
this week
522
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
522
stars
Build Azure managed images and Azure Compute Gallery images using Packer's azure-arm builder.
Reference: Azure ARM Builder
Note: Building Azure images incurs costs (compute, storage, data transfer). Builds typically take 15-45 minutes depending on provisioning and OS.
packer {
required_plugins {
azure = {
source = "github.com/hashicorp/azure"
version = "~> 2.0"
}
}
}
variable "client_id" {
type = string
sensitive = true
}
variable "client_secret" {
type = string
sensitive = true
}
variable "subscription_id" {
type = string
}
variable "tenant_id" {
type = string
}
variable "resource_group" {
type = string
default = "packer-images-rg"
}
locals {
timestamp = regex_replace(timestamp(), "[- TZ:]", "")
}
source "azure-arm" "ubuntu" {
client_id = var.client_id
client_secret = var.client_secret
subscription_id = var.subscription_id
tenant_id = var.tenant_id
managed_image_resource_group_name = var.resource_group
managed_image_name = "my-app-${local.timestamp}"
os_type = "Linux"
image_publisher = "Canonical"
image_offer = "0001-com-ubuntu-server-jammy"
image_sku = "22_04-lts-gen2"
location = "East US"
vm_size = "Standard_B2s"
azure_tags = {
Name = "my-app"
BuildDate = local.timestamp
}
}
build {
sources = ["source.azure-arm.ubuntu"]
provisioner "shell" {
inline = [
"sudo apt-get update",
"sudo apt-get upgrade -y",
]
}
}
source "azure-arm" "ubuntu" {
client_id = var.client_id
client_secret = var.client_secret
subscription_id = var.subscription_id
tenant_id = var.tenant_id
os_type = "Linux"
image_publisher = "Canonical"
image_offer = "0001-com-ubuntu-server-jammy"
image_sku = "22_04-lts-gen2"
location = "East US"
vm_size = "Standard_B2s"
shared_image_gallery_destination {
resource_group = "gallery-rg"
gallery_name = "myImageGallery"
image_name = "ubuntu-webapp"
image_version = "1.0.${formatdate("YYYYMMDD", timestamp())}"
replication_regions = ["East US", "West US 2"]
storage_account_type = "Standard_LRS"
}
}
# Create service principal
az ad sp create-for-rbac \
--name "packer-sp" \
--role Contributor \
--scopes /subscriptions/<subscription-id>
# Set environment variables
export ARM_CLIENT_ID="<client-id>"
export ARM_CLIENT_SECRET="<client-secret>"
export ARM_SUBSCRIPTION_ID="<subscription-id>"
export ARM_TENANT_ID="<tenant-id>"
source "azure-arm" "ubuntu" {
use_azure_cli_auth = true
subscription_id = var.subscription_id
# ... rest of configuration
}
# Set authentication
export ARM_CLIENT_ID="your-client-id"
export ARM_CLIENT_SECRET="your-client-secret"
export ARM_SUBSCRIPTION_ID="your-subscription-id"
export ARM_TENANT_ID="your-tenant-id"
# Initialize plugins
packer init .
# Validate template
packer validate .
# Build image
packer build .
Authentication Failed
Compute Gallery Version Exists
Timeout During Provisioning
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
aradotso/trending-skills
supercent-io/skills-template
claude-office-skills/skills
Leonxlnx/taste-skill
sickn33/antigravity-awesome-skills
glebis/claude-skills
Keeps context tight: azure-image-builder is the kind of skill you can hand to a new teammate without a long onboarding doc.
azure-image-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in azure-image-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
azure-image-builder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
azure-image-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.
azure-image-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in azure-image-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in azure-image-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
azure-image-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend azure-image-builder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
showing 1-10 of 65