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Arm Templates

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BagelHole
arm-templates

Deploy Azure resources with ARM templates and Bicep. Create modular deployments and manage dependencies. Use when deploying Azure-native IaC.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill namearm-templates
Stars
1.1K
Forks
161
Bundled files
1
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.

  • 1 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 Arm Templates 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/arm-templates
  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/arm-templates .claude/skills/arm-templates
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Arm Templates 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 Arm Templates 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 Arm Templates 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.

ARM Templates & Bicep

Deploy Azure infrastructure with ARM templates and Bicep. Bicep is the recommended domain-specific language that compiles to ARM JSON, offering cleaner syntax, modules, and first-class tooling support.

When to Use

  • You need Azure-native Infrastructure as Code without third-party tooling.
  • Your organization standardizes on Azure and wants tight portal integration.
  • You need What-If analysis before deploying changes.
  • You are migrating existing ARM JSON templates to Bicep for maintainability.
  • You need deployment scopes at resource group, subscription, management group, or tenant level.

Prerequisites

bash
# Install Azure CLI
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash

# Install Bicep CLI (bundled with Azure CLI 2.20+)
az bicep install
az bicep upgrade

# Verify installation
az bicep version

# Login and set subscription
az login
az account set --subscription "my-subscription-id"

Bicep Fundamentals

Resource Group Deployment with Virtual Network

bicep
// main.bicep
@description('Azure region for all resources')
param location string = resourceGroup().location

@description('Environment name used for resource naming')
@allowed(['dev', 'staging', 'prod'])
param environment string = 'dev'

@description('Base name for all resources')
param baseName string

var vnetName = '${baseName}-${environment}-vnet'
var nsgName = '${baseName}-${environment}-nsg'

resource nsg 'Microsoft.Network/networkSecurityGroups@2023-05-01' = {
  name: nsgName
  location: location
  properties: {
    securityRules: [
      {
        name: 'AllowHTTPS'
        properties: {
          priority: 100
          direction: 'Inbound'
          access: 'Allow'
          protocol: 'Tcp'
          sourcePortRange: '*'
          destinationPortRange: '443'
          sourceAddressPrefix: '*'
          destinationAddressPrefix: '*'
        }
      }
      {
        name: 'DenyAllInbound'
        properties: {
          priority: 4096
          direction: 'Inbound'
          access: 'Deny'
          protocol: '*'
          sourcePortRange: '*'
          destinationPortRange: '*'
          sourceAddressPrefix: '*'
          destinationAddressPrefix: '*'
        }
      }
    ]
  }
}

resource vnet 'Microsoft.Network/virtualNetworks@2023-05-01' = {
  name: vnetName
  location: location
  properties: {
    addressSpace: {
      addressPrefixes: [
        '10.0.0.0/16'
      ]
    }
    subnets: [
      {
        name: 'web-subnet'
        properties: {
          addressPrefix: '10.0.1.0/24'
          networkSecurityGroup: {
            id: nsg.id
          }
        }
      }
      {
        name: 'app-subnet'
        properties: {
          addressPrefix: '10.0.2.0/24'
        }
      }
      {
        name: 'data-subnet'
        properties: {
          addressPrefix: '10.0.3.0/24'
          privateEndpointNetworkPolicies: 'Enabled'
        }
      }
    ]
  }
}

output vnetId string = vnet.id
output webSubnetId string = vnet.properties.subnets[0].id
output appSubnetId string = vnet.properties.subnets[1].id

VM Deployment with Managed Identity

bicep
// vm.bicep
param location string = resourceGroup().location
param vmName string
param subnetId string
param adminUsername string = 'azureuser'

@secure()
param adminPublicKey string

resource nic 'Microsoft.Network/networkInterfaces@2023-05-01' = {
  name: '${vmName}-nic'
  location: location
  properties: {
    ipConfigurations: [
      {
        name: 'ipconfig1'
        properties: {
          privateIPAllocationMethod: 'Dynamic'
          subnet: {
            id: subnetId
          }
        }
      }
    ]
  }
}

resource vm 'Microsoft.Compute/virtualMachines@2023-07-01' = {
  name: vmName
  location: location
  identity: {
    type: 'SystemAssigned'
  }
  properties: {
    hardwareProfile: {
      vmSize: 'Standard_B2s'
    }
    osProfile: {
      computerName: vmName
      adminUsername: adminUsername
      linuxConfiguration: {
        disablePasswordAuthentication: true
        ssh: {
          publicKeys: [
            {
              path: '/home/${adminUsername}/.ssh/authorized_keys'
              keyData: adminPublicKey
            }
          ]
        }
      }
    }
    storageProfile: {
      imageReference: {
        publisher: 'Canonical'
        offer: '0001-com-ubuntu-server-jammy'
        sku: '22_04-lts-gen2'
        version: 'latest'
      }
      osDisk: {
        createOption: 'FromImage'
        managedDisk: {
          storageAccountType: 'Premium_LRS'
        }
      }
    }
    networkProfile: {
      networkInterfaces: [
        {
          id: nic.id
        }
      ]
    }
    diagnosticsProfile: {
      bootDiagnostics: {
        enabled: true
      }
    }
  }
}

output vmPrincipalId string = vm.identity.principalId
output vmId string = vm.id

Bicep Modules

Module Definition

bicep
// modules/storage.bicep
@description('Storage account name (3-24 chars, lowercase alphanumeric)')
param storageAccountName string

param location string = resourceGroup().location
param sku string = 'Standard_LRS'

@allowed(['Hot', 'Cool', 'Archive'])
param accessTier string = 'Hot'

resource storageAccount 'Microsoft.Storage/storageAccounts@2023-01-01' = {
  name: storageAccountName
  location: location
  sku: {
    name: sku
  }
  kind: 'StorageV2'
  properties: {
    accessTier: accessTier
    supportsHttpsTrafficOnly: true
    minimumTlsVersion: 'TLS1_2'
    allowBlobPublicAccess: false
    networkAcls: {
      defaultAction: 'Deny'
      bypass: 'AzureServices'
    }
  }
}

output storageAccountId string = storageAccount.id
output primaryBlobEndpoint string = storageAccount.properties.primaryEndpoints.blob

Consuming Modules

bicep
// main.bicep
param location string = resourceGroup().location
param environment string = 'prod'

module storage 'modules/storage.bicep' = {
  name: 'storage-deployment'
  params: {
    storageAccountName: 'myapp${environment}sa'
    location: location
    sku: environment == 'prod' ? 'Standard_GRS' : 'Standard_LRS'
  }
}

module vnet 'modules/network.bicep' = {
  name: 'vnet-deployment'
  params: {
    location: location
    environment: environment
  }
}

// Reference module outputs
output storageBlobEndpoint string = storage.outputs.primaryBlobEndpoint

ARM JSON Template Structure

json
{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "parameters": {
    "storageAccountName": {
      "type": "string",
      "metadata": {
        "description": "Name of the storage account"
      }
    },
    "location": {
      "type": "string",
      "defaultValue": "[resourceGroup().location]"
    }
  },
  "variables": {
    "storageSku": "Standard_LRS"
  },
  "resources": [
    {
      "type": "Microsoft.Storage/storageAccounts",
      "apiVersion": "2023-01-01",
      "name": "[parameters('storageAccountName')]",
      "location": "[parameters('location')]",
      "sku": {
        "name": "[variables('storageSku')]"
      },
      "kind": "StorageV2",
      "properties": {
        "supportsHttpsTrafficOnly": true,
        "minimumTlsVersion": "TLS1_2"
      }
    }
  ],
  "outputs": {
    "storageId": {
      "type": "string",
      "value": "[resourceId('Microsoft.Storage/storageAccounts', parameters('storageAccountName'))]"
    }
  }
}

Deployment Commands

bash
# Validate a Bicep template before deployment
az deployment group validate \
  --resource-group mygroup \
  --template-file main.bicep \
  --parameters environment='prod' baseName='myapp'

# Preview changes with What-If
az deployment group what-if \
  --resource-group mygroup \
  --template-file main.bicep \
  --parameters environment='prod' baseName='myapp'

# Deploy Bicep to resource group
az deployment group create \
  --resource-group mygroup \
  --template-file main.bicep \
  --parameters environment='prod' baseName='myapp' \
  --name "deploy-$(date +%Y%m%d-%H%M%S)"

# Deploy ARM JSON with parameter file
az deployment group create \
  --resource-group mygroup \
  --template-file template.json \
  --parameters @parameters.prod.json

# Subscription-level deployment (e.g., resource groups, policies)
az deployment sub create \
  --location eastus \
  --template-file subscription-level.bicep \
  --parameters @params.json

# Management group deployment
az deployment mg create \
  --management-group-id my-mg \
  --location eastus \
  --template-file mg-policy.bicep

# Export resource group to ARM JSON
az group export --name mygroup --output json > exported-template.json

# Decompile ARM JSON to Bicep
az bicep decompile --file exported-template.json

# Build Bicep to ARM JSON (for inspection)
az bicep build --file main.bicep --outfile main.json

# List deployments and their status
az deployment group list \
  --resource-group mygroup \
  --output table

# Delete a failed deployment
az deployment group delete \
  --resource-group mygroup \
  --name my-failed-deployment

Parameter Files

json
// parameters.prod.json
{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentParameters.json#",
  "contentVersion": "1.0.0.0",
  "parameters": {
    "environment": { "value": "prod" },
    "baseName": { "value": "myapp" },
    "adminPublicKey": {
      "reference": {
        "keyVault": {
          "id": "/subscriptions/{sub-id}/resourceGroups/{rg}/providers/Microsoft.KeyVault/vaults/{vault}"
        },
        "secretName": "ssh-public-key"
      }
    }
  }
}

Linked and Nested Templates

bicep
// Deploy to a different resource group
module networkInSharedRg 'modules/network.bicep' = {
  name: 'shared-network'
  scope: resourceGroup('shared-networking-rg')
  params: {
    location: location
  }
}

// Conditional deployment
param deployMonitoring bool = true

module monitoring 'modules/monitoring.bicep' = if (deployMonitoring) {
  name: 'monitoring-deployment'
  params: {
    location: location
  }
}

// Loop deployment
param storageAccounts array = [
  { name: 'logs', sku: 'Standard_LRS' }
  { name: 'data', sku: 'Standard_GRS' }
]

module storageLoop 'modules/storage.bicep' = [for account in storageAccounts: {
  name: 'storage-${account.name}'
  params: {
    storageAccountName: '${baseName}${account.name}sa'
    sku: account.sku
    location: location
  }
}]

Troubleshooting

SymptomCauseFix
InvalidTemplate errorSyntax error in ARM JSON or BicepRun az bicep build to check for compile errors
ResourceNotFound during deploymentResource dependency not declaredAdd dependsOn or use implicit references in Bicep
DeploymentFailed with quota errorSubscription quota exceededRequest quota increase or use a different region
AuthorizationFailedInsufficient RBAC permissionsAssign Contributor role on the target resource group
Parameter file secrets in source controlSecrets stored as plain textUse Key Vault references in parameter files
Deployment takes very longLarge number of resources deployed seriallyUse dependsOn carefully to allow parallel deployment
What-If shows unexpected deletionsComplete mode instead of IncrementalUse --mode Incremental (the default) to avoid deleting unmanaged resources
Bicep module not foundIncorrect relative pathVerify path is relative to the consuming file

Related Skills

  • terraform-azure -- Multi-cloud IaC alternative with broader provider support.
  • azure-networking -- VNet, NSG, and firewall configurations referenced in templates.
  • azure-vms -- Virtual machine sizing and configuration details.
  • azure-aks -- Kubernetes cluster definitions for Bicep/ARM.

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 Arm Templates AI skill do?

Deploy Azure resources with ARM templates and Bicep. Create modular deployments and manage dependencies. Use when deploying Azure-native IaC.

Why use Arm Templates on TypingMind?

Because you install it once and use it with any model. Arm Templates 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 Arm Templates 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/arm-templates. 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 Arm Templates?

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 Arm Templates?

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

Is the Arm Templates 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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