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Terraform Azure

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BagelHole
terraform-azure

Provision Azure infrastructure with Terraform. Configure providers, manage state, and deploy resources. Use when implementing IaC for Azure.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill nameterraform-azure
Stars
1.1K
Forks
161
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by BagelHole on GitHub. Read the source before you install it.

Installation

Install the Terraform Azure AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/cloud-azure/terraform-azure
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/infrastructure/cloud-azure/terraform-azure .claude/skills/terraform-azure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Terraform Azure in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Terraform Azure on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Terraform Azure is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Terraform Azure

Provision and manage Azure infrastructure with Terraform using the AzureRM provider. Covers provider configuration, remote state, resource groups, VNets, AKS, Key Vault, complete .tf file examples, and production workflows.

When to Use

  • You need multi-cloud or cloud-agnostic Infrastructure as Code.
  • Your team standardizes on Terraform across AWS, Azure, and GCP.
  • You need plan/apply workflows with change preview before deployment.
  • You want modular, reusable infrastructure components.
  • You need state locking and drift detection for production infrastructure.

Prerequisites

bash
# Install Terraform
wget -O- https://apt.releases.hashicorp.com/gpg | sudo gpg --dearmor -o /usr/share/keyrings/hashicorp-archive-keyring.gpg
echo "deb [signed-by=/usr/share/keyrings/hashicorp-archive-keyring.gpg] https://apt.releases.hashicorp.com $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/hashicorp.list
sudo apt update && sudo apt install terraform

# Verify installation
terraform version

# Install Azure CLI and login
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
az login
az account set --subscription "my-subscription-id"

# Create storage account for remote state
az group create --name tfstate-rg --location eastus
az storage account create \
  --name tfstate$(openssl rand -hex 4) \
  --resource-group tfstate-rg \
  --sku Standard_LRS \
  --encryption-services blob
az storage container create \
  --name tfstate \
  --account-name tfstateXXXXXXXX

Provider Configuration

providers.tf

hcl
terraform {
  required_version = ">= 1.5.0"

  required_providers {
    azurerm = {
      source  = "hashicorp/azurerm"
      version = "~> 3.80"
    }
    azuread = {
      source  = "hashicorp/azuread"
      version = "~> 2.47"
    }
    random = {
      source  = "hashicorp/random"
      version = "~> 3.6"
    }
  }

  backend "azurerm" {
    resource_group_name  = "tfstate-rg"
    storage_account_name = "tfstate12345abc"
    container_name       = "tfstate"
    key                  = "prod.terraform.tfstate"
  }
}

provider "azurerm" {
  features {
    key_vault {
      purge_soft_delete_on_destroy    = false
      recover_soft_deleted_key_vaults = true
    }
    resource_group {
      prevent_deletion_if_contains_resources = true
    }
  }
  # Optional: use a specific subscription
  # subscription_id = var.subscription_id
}

provider "azuread" {}

variables.tf

hcl
variable "environment" {
  description = "Environment name (dev, staging, prod)"
  type        = string
  validation {
    condition     = contains(["dev", "staging", "prod"], var.environment)
    error_message = "Environment must be dev, staging, or prod."
  }
}

variable "location" {
  description = "Azure region for all resources"
  type        = string
  default     = "eastus"
}

variable "project_name" {
  description = "Project name used in resource naming"
  type        = string
  default     = "myapp"
}

variable "tags" {
  description = "Tags applied to all resources"
  type        = map(string)
  default     = {}
}

variable "sql_admin_password" {
  description = "SQL Server admin password"
  type        = string
  sensitive   = true
}

variable "aks_admin_group_id" {
  description = "Azure AD group ID for AKS admin access"
  type        = string
}

locals {
  name_prefix = "${var.project_name}-${var.environment}"
  common_tags = merge(var.tags, {
    environment = var.environment
    project     = var.project_name
    managed_by  = "terraform"
  })
}

terraform.tfvars (per environment)

hcl
# terraform.prod.tfvars
environment        = "prod"
location           = "eastus"
project_name       = "myapp"
aks_admin_group_id = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"

tags = {
  cost_center = "engineering"
  owner       = "platform-team"
}

Resource Group

resource-group.tf

hcl
resource "azurerm_resource_group" "main" {
  name     = "${local.name_prefix}-rg"
  location = var.location
  tags     = local.common_tags
}

Virtual Network

network.tf

hcl
resource "azurerm_virtual_network" "main" {
  name                = "${local.name_prefix}-vnet"
  location            = azurerm_resource_group.main.location
  resource_group_name = azurerm_resource_group.main.name
  address_space       = ["10.0.0.0/16"]
  tags                = local.common_tags
}

resource "azurerm_subnet" "aks" {
  name                 = "aks-subnet"
  resource_group_name  = azurerm_resource_group.main.name
  virtual_network_name = azurerm_virtual_network.main.name
  address_prefixes     = ["10.0.1.0/22"]
}

resource "azurerm_subnet" "app" {
  name                 = "app-subnet"
  resource_group_name  = azurerm_resource_group.main.name
  virtual_network_name = azurerm_virtual_network.main.name
  address_prefixes     = ["10.0.8.0/24"]
}

resource "azurerm_subnet" "data" {
  name                 = "data-subnet"
  resource_group_name  = azurerm_resource_group.main.name
  virtual_network_name = azurerm_virtual_network.main.name
  address_prefixes     = ["10.0.9.0/24"]

  private_endpoint_network_policies_enabled = true
}

resource "azurerm_network_security_group" "app" {
  name                = "${local.name_prefix}-app-nsg"
  location            = azurerm_resource_group.main.location
  resource_group_name = azurerm_resource_group.main.name

  security_rule {
    name                       = "AllowHTTPS"
    priority                   = 100
    direction                  = "Inbound"
    access                     = "Allow"
    protocol                   = "Tcp"
    source_port_range          = "*"
    destination_port_range     = "443"
    source_address_prefix      = "*"
    destination_address_prefix = "*"
  }

  tags = local.common_tags
}

resource "azurerm_subnet_network_security_group_association" "app" {
  subnet_id                 = azurerm_subnet.app.id
  network_security_group_id = azurerm_network_security_group.app.id
}

AKS Cluster

aks.tf

hcl
resource "azurerm_log_analytics_workspace" "aks" {
  name                = "${local.name_prefix}-law"
  location            = azurerm_resource_group.main.location
  resource_group_name = azurerm_resource_group.main.name
  sku                 = "PerGB2018"
  retention_in_days   = 30
  tags                = local.common_tags
}

resource "azurerm_kubernetes_cluster" "main" {
  name                = "${local.name_prefix}-aks"
  location            = azurerm_resource_group.main.location
  resource_group_name = azurerm_resource_group.main.name
  dns_prefix          = "${var.project_name}-${var.environment}"
  kubernetes_version  = "1.28"

  default_node_pool {
    name                = "system"
    vm_size             = "Standard_D4s_v5"
    enable_auto_scaling = true
    min_count           = 2
    max_count           = 5
    zones               = [1, 2, 3]
    vnet_subnet_id      = azurerm_subnet.aks.id
    os_disk_size_gb     = 128
    os_disk_type        = "Managed"
    max_pods            = 50

    node_labels = {
      role = "system"
    }
  }

  identity {
    type = "SystemAssigned"
  }

  network_profile {
    network_plugin    = "azure"
    network_policy    = "calico"
    service_cidr      = "10.1.0.0/16"
    dns_service_ip    = "10.1.0.10"
    load_balancer_sku = "standard"
  }

  azure_active_directory_role_based_access_control {
    managed                = true
    azure_rbac_enabled     = true
    admin_group_object_ids = [var.aks_admin_group_id]
  }

  oms_agent {
    log_analytics_workspace_id = azurerm_log_analytics_workspace.aks.id
  }

  key_vault_secrets_provider {
    secret_rotation_enabled  = true
    secret_rotation_interval = "2m"
  }

  tags = local.common_tags
}

resource "azurerm_kubernetes_cluster_node_pool" "app" {
  name                  = "app"
  kubernetes_cluster_id = azurerm_kubernetes_cluster.main.id
  vm_size               = "Standard_D8s_v5"
  enable_auto_scaling   = true
  min_count             = 2
  max_count             = 20
  zones                 = [1, 2, 3]
  vnet_subnet_id        = azurerm_subnet.aks.id
  max_pods              = 50

  node_labels = {
    workload = "app"
  }

  node_taints = [
    "dedicated=app:NoSchedule"
  ]

  tags = local.common_tags
}

Key Vault

keyvault.tf

hcl
data "azurerm_client_config" "current" {}

resource "azurerm_key_vault" "main" {
  name                        = "${var.project_name}-${var.environment}-kv"
  location                    = azurerm_resource_group.main.location
  resource_group_name         = azurerm_resource_group.main.name
  tenant_id                   = data.azurerm_client_config.current.tenant_id
  sku_name                    = "standard"
  soft_delete_retention_days  = 90
  purge_protection_enabled    = true
  enabled_for_disk_encryption = true

  network_acls {
    default_action = "Deny"
    bypass         = "AzureServices"
    ip_rules       = var.allowed_ip_ranges
    virtual_network_subnet_ids = [
      azurerm_subnet.app.id,
      azurerm_subnet.aks.id,
    ]
  }

  tags = local.common_tags
}

resource "azurerm_key_vault_access_policy" "terraform" {
  key_vault_id = azurerm_key_vault.main.id
  tenant_id    = data.azurerm_client_config.current.tenant_id
  object_id    = data.azurerm_client_config.current.object_id

  secret_permissions = [
    "Get", "List", "Set", "Delete", "Purge", "Recover"
  ]

  key_permissions = [
    "Get", "List", "Create", "Delete", "Purge", "Recover",
    "WrapKey", "UnwrapKey"
  ]
}

resource "azurerm_key_vault_access_policy" "aks" {
  key_vault_id = azurerm_key_vault.main.id
  tenant_id    = data.azurerm_client_config.current.tenant_id
  object_id    = azurerm_kubernetes_cluster.main.key_vault_secrets_provider[0].secret_identity[0].object_id

  secret_permissions = ["Get", "List"]
}

resource "azurerm_key_vault_secret" "sql_password" {
  name         = "sql-admin-password"
  value        = var.sql_admin_password
  key_vault_id = azurerm_key_vault.main.id

  depends_on = [azurerm_key_vault_access_policy.terraform]
}

SQL Database

database.tf

hcl
resource "azurerm_mssql_server" "main" {
  name                         = "${local.name_prefix}-sql"
  resource_group_name          = azurerm_resource_group.main.name
  location                     = azurerm_resource_group.main.location
  version                      = "12.0"
  administrator_login          = "sqladmin"
  administrator_login_password = var.sql_admin_password
  minimum_tls_version          = "1.2"

  azuread_administrator {
    login_username = "SQL Admins"
    object_id      = var.aks_admin_group_id
  }

  tags = local.common_tags
}

resource "azurerm_mssql_database" "main" {
  name         = "${var.project_name}-db"
  server_id    = azurerm_mssql_server.main.id
  collation    = "SQL_Latin1_General_CP1_CI_AS"
  sku_name     = var.environment == "prod" ? "BC_Gen5_4" : "GP_S_Gen5_2"
  max_size_gb  = var.environment == "prod" ? 256 : 32
  zone_redundant = var.environment == "prod"

  short_term_retention_policy {
    retention_days = var.environment == "prod" ? 14 : 7
  }

  tags = local.common_tags
}

resource "azurerm_private_endpoint" "sql" {
  name                = "${local.name_prefix}-sql-pe"
  location            = azurerm_resource_group.main.location
  resource_group_name = azurerm_resource_group.main.name
  subnet_id           = azurerm_subnet.data.id

  private_service_connection {
    name                           = "sql-connection"
    private_connection_resource_id = azurerm_mssql_server.main.id
    subresource_names              = ["sqlServer"]
    is_manual_connection           = false
  }

  tags = local.common_tags
}

Outputs

outputs.tf

hcl
output "resource_group_name" {
  value = azurerm_resource_group.main.name
}

output "aks_cluster_name" {
  value = azurerm_kubernetes_cluster.main.name
}

output "aks_kube_config" {
  value     = azurerm_kubernetes_cluster.main.kube_config_raw
  sensitive = true
}

output "key_vault_uri" {
  value = azurerm_key_vault.main.vault_uri
}

output "sql_server_fqdn" {
  value = azurerm_mssql_server.main.fully_qualified_domain_name
}

output "vnet_id" {
  value = azurerm_virtual_network.main.id
}

Terraform Workflow Commands

bash
# Initialize (download providers, configure backend)
terraform init

# Validate configuration syntax
terraform validate

# Format all .tf files
terraform fmt -recursive

# Plan changes for a specific environment
terraform plan \
  -var-file="terraform.prod.tfvars" \
  -var="sql_admin_password=$(az keyvault secret show --vault-name ops-vault --name sql-pass --query value -o tsv)" \
  -out=tfplan

# Apply the saved plan
terraform apply tfplan

# Apply with auto-approve (CI/CD pipelines only)
terraform apply \
  -var-file="terraform.prod.tfvars" \
  -auto-approve

# Destroy infrastructure (careful!)
terraform plan -destroy -var-file="terraform.prod.tfvars" -out=destroyplan
terraform apply destroyplan

# Import existing resources into state
terraform import azurerm_resource_group.main /subscriptions/{sub}/resourceGroups/myapp-prod-rg

# Show current state
terraform state list
terraform state show azurerm_kubernetes_cluster.main

# Move resources in state (renaming)
terraform state mv azurerm_resource_group.old azurerm_resource_group.new

# Refresh state from real infrastructure
terraform refresh -var-file="terraform.prod.tfvars"

# Unlock stuck state
terraform force-unlock LOCK_ID

# Use workspaces for environment isolation
terraform workspace new prod
terraform workspace select prod
terraform workspace list

Module Structure

project/
  modules/
    networking/
      main.tf
      variables.tf
      outputs.tf
    aks/
      main.tf
      variables.tf
      outputs.tf
    database/
      main.tf
      variables.tf
      outputs.tf
  environments/
    dev/
      main.tf
      terraform.tfvars
      backend.tf
    prod/
      main.tf
      terraform.tfvars
      backend.tf

Using Modules

hcl
# environments/prod/main.tf
module "networking" {
  source = "../../modules/networking"

  environment   = var.environment
  location      = var.location
  project_name  = var.project_name
  address_space = ["10.0.0.0/16"]
}

module "aks" {
  source = "../../modules/aks"

  environment         = var.environment
  location            = var.location
  project_name        = var.project_name
  resource_group_name = module.networking.resource_group_name
  subnet_id           = module.networking.aks_subnet_id
  admin_group_id      = var.aks_admin_group_id
}

module "database" {
  source = "../../modules/database"

  environment         = var.environment
  location            = var.location
  project_name        = var.project_name
  resource_group_name = module.networking.resource_group_name
  subnet_id           = module.networking.data_subnet_id
  admin_password      = var.sql_admin_password
}

Troubleshooting

SymptomCauseFix
Error acquiring state lockPrevious run crashed or concurrent accessRun terraform force-unlock LOCK_ID after confirming no other run is active
Provider version constraint errorVersion conflict in required_providersRun terraform init -upgrade to fetch compatible versions
Resource already existsResource created outside TerraformImport with terraform import to bring it under management
Cycle detected in planCircular dependency between resourcesRestructure references or use depends_on carefully
State file corruptionConcurrent writes or manual editsRestore from state backup in the storage account versioning
AuthorizationFailed during applyService principal lacks RBAC permissionsAssign Contributor role on subscription or resource group
Plan shows unexpected changesDrift from manual portal changesRun terraform refresh then terraform plan to reconcile
Module source not foundIncorrect relative path or registry referenceVerify path in source attribute; run terraform init again

Related Skills

  • arm-templates -- Azure-native IaC alternative with Bicep.
  • azure-aks -- AKS cluster details and kubectl operations.
  • azure-networking -- VNet and NSG design referenced in Terraform configs.
  • azure-sql -- Database provisioning and security configurations.
  • azure-vms -- VM sizing and scale set configurations.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Terraform Azure AI skill do?

Provision Azure infrastructure with Terraform. Configure providers, manage state, and deploy resources. Use when implementing IaC for Azure.

Why use Terraform Azure on TypingMind?

Because you install it once and use it with any model. Terraform Azure is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Terraform Azure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/cloud-azure/terraform-azure. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Terraform Azure?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Terraform Azure?

As many as you like. As long as a model supports skills, you can use Terraform Azure with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Terraform Azure AI skill free?

Yes. It is published on GitHub by BagelHole under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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