azure-image-builder▌
hashicorp/agent-skills · updated Apr 8, 2026
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Build Azure managed images and Azure Compute Gallery images using Packer's azure-arm builder.
Azure Image Builder
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.
Basic Managed Image
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-${local.timestamp}"
os_type = "Linux"
image_publisher = "Canonical"
image_offer = "0001-com-ubuntu-server-jammy"
image_sku = "22_04-lts-gen2"
location = "East US"
vm_size = "Standard_B2s"
azure_tags = {
Name = "my-app"
BuildDate = local.timestamp
}
}
build {
sources = ["source.azure-arm.ubuntu"]
provisioner "shell" {
inline = [
"sudo apt-get update",
"sudo apt-get upgrade -y",
]
}
}
Azure Compute Gallery
source "azure-arm" "ubuntu" {
client_id = var.client_id
client_secret = var.client_secret
subscription_id = var.subscription_id
tenant_id = var.tenant_id
os_type = "Linux"
image_publisher = "Canonical"
image_offer = "0001-com-ubuntu-server-jammy"
image_sku = "22_04-lts-gen2"
location = "East US"
vm_size = "Standard_B2s"
shared_image_gallery_destination {
resource_group = "gallery-rg"
gallery_name = "myImageGallery"
image_name = "ubuntu-webapp"
image_version = "1.0.${formatdate("YYYYMMDD", timestamp())}"
replication_regions = ["East US", "West US 2"]
storage_account_type = "Standard_LRS"
}
}
Authentication
Service Principal
# 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>"
Managed Identity
source "azure-arm" "ubuntu" {
use_azure_cli_auth = true
subscription_id = var.subscription_id
# ... rest of configuration
}
Build Commands
# 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 .
Common Issues
Authentication Failed
- Verify service principal credentials
- Ensure Contributor role on resource group
- Check subscription and tenant IDs
Compute Gallery Version Exists
- Image versions are immutable
- Use unique version numbers with date/build number
- Cannot overwrite existing versions
Timeout During Provisioning
- Check network connectivity from build VM
- Verify NSG rules allow required traffic
- Increase timeout if needed
References
How to use azure-image-builder on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add azure-image-builder
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches azure-image-builder from GitHub repository hashicorp/agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate azure-image-builder. Access the skill through slash commands (e.g., /azure-image-builder) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★65 reviews- ★★★★★Henry Gupta· Dec 20, 2024
Keeps context tight: azure-image-builder is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Noah Yang· Dec 20, 2024
azure-image-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Diya Srinivasan· Dec 16, 2024
Useful defaults in azure-image-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aarav Diallo· Dec 16, 2024
azure-image-builder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aarav Ndlovu· Dec 12, 2024
azure-image-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Dec 8, 2024
azure-image-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Piyush G· Nov 27, 2024
Useful defaults in azure-image-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Liam Choi· Nov 11, 2024
Useful defaults in azure-image-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Noah Liu· Nov 7, 2024
azure-image-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sakura Ghosh· Nov 7, 2024
I recommend azure-image-builder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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