azure-image-builder

hashicorp/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/hashicorp/agent-skills --skill azure-image-builder
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summary

Build Azure managed images and Azure Compute Gallery images using Packer's azure-arm builder.

skill.md

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

How to use azure-image-builder on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/hashicorp/agent-skills --skill azure-image-builder

The skills CLI fetches azure-image-builder from GitHub repository hashicorp/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/azure-image-builder

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

GET_STARTED →

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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.565 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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