Azure Diagram Generator

VerifiedCaution

Generates architecture diagrams for Azure infrastructure from ARM templates, Azure CLI output, or natural language descriptions. Helps visualize relationships between Azure resources like VNets, VMs, and storage accounts. Useful when planning or documenting Azure deployments.

Sby Skills Guide Bot
DevOpsIntermediate
6/2/2026
Claude CodeCursor
#azure#diagram#arm-templates#infrastructure#visualization

Recommended for

Automated summary

Generates architecture diagrams for Azure infrastructure from ARM templates, Azure CLI output, or natural language descriptions.

Strengths

  • Automatically parses Azure resources and their relationships
  • Generates Eraser DSL and calls the API for rendering
  • Supports multiple input formats (ARM, CLI, description)
  • Identifies networking, compute, storage, and database components

Limitations

  • Requires network access to the Eraser API
  • May not handle all Azure resource types
  • Generated DSL might need manual tweaking
When to use it

Use this skill when you need a visual diagram of an existing Azure infrastructure or plan.

When not to use it

Do not use if network access is unavailable or if the infrastructure is not Azure-based.

Security analysis

Caution
Quality score88/100

The skill instructs an external API call using a bearer token from environment variable. While no destructive actions are evident, the use of Bash and network calls with sensitive credentials warrants caution.

Findings
  • •Uses curl with API key; potential exposure if key is logged or output accidentally.
How this analysis is made

Examples

Diagram from ARM template
Diagram my Azure infrastructure from this ARM template: [paste ARM JSON]
Diagram from Azure CLI output
Create a diagram of my Azure resources from this CLI output: [paste az vm list, az network vnet list, etc.]
Diagram from description
Show me a diagram of an Azure infrastructure with a VNet, two subnets, a VM in each subnet, a storage account, and a SQL database.

name: azure-diagrams description: 'Visualizes Azure infrastructure from ARM templates, Azure CLI, or descriptions. Use when user has Azure resources to diagram.' license: MIT compatibility: Requires network access to call Eraser API allowed-tools: Read Write Bash(curl:*) metadata: version: "1.0.0" author: Eraser Labs tags: azure, diagram, arm, resource-group, vnet, vm, storage, infrastructure

Azure Diagram Generator

Generates architecture diagrams for Azure infrastructure from ARM templates, Azure CLI output, or natural language descriptions.

When to Use

Activate this skill when:

  • User has ARM (Azure Resource Manager) templates (JSON)
  • User provides Azure CLI output (e.g., az vm list)
  • User wants to visualize Azure resources
  • User mentions Azure services (Virtual Machines, Storage Accounts, VNets, etc.)
  • User asks to "diagram my Azure infrastructure"

How It Works

This skill generates Azure-specific diagrams by parsing Azure resources and calling the Eraser API directly:

  1. Parse Azure Resources: Extract resources from ARM templates, CLI output, or descriptions
  2. Map Azure Relationships: Identify Resource Groups, VNets, subnets, and service connections
  3. Generate Eraser DSL: Create Eraser DSL code from Azure resources
  4. Call Eraser API: Use /api/render/elements with diagramType: "cloud-architecture-diagram"

Instructions

When the user provides Azure infrastructure information:

  1. Parse the Source

    • ARM Templates: Extract resources array, identify types (Microsoft.Compute/virtualMachines, etc.)
    • CLI Output: Parse JSON output from az commands
    • Description: Identify Azure service names and relationships
  2. Identify Azure Components

    • Networking: Virtual Networks (VNets), Subnets, Network Security Groups, Load Balancers
    • Compute: Virtual Machines, Virtual Machine Scale Sets, App Services, Functions
    • Storage: Storage Accounts, Blob Storage, File Shares
    • Databases: SQL Databases, Cosmos DB, Redis Cache
    • Security: Network Security Groups, Azure AD, Key Vault
    • Load Balancing: Application Gateway, Load Balancer, Traffic Manager
    • Other: Service Bus, Event Hubs, API Management
  3. Map Relationships

    • VMs in subnets
    • Subnets in VNets
    • VNets in Resource Groups
    • Storage accounts accessed by VMs
    • Databases accessed by applications
    • Network Security Groups attached to subnets
  4. Generate Eraser DSL Convert Azure resources to Eraser DSL:

    • CRITICAL: Label Formatting Rules
      • Labels MUST be on a single line - NEVER use newlines inside label attributes
      • Keep labels simple and readable - prefer separate labels over concatenating too much metadata
      • Format DSL with proper line breaks (one node/group per line, but labels stay on single lines)
      • If including metadata like CIDR blocks or instance types, include them in the same quoted label string: [label: "VNet 10.0.0.0/16"]

    Example:

    myVNet [label: "VNet 10.0.0.0/16"] {
      subnet1 [label: "Subnet 1"] {
        myVM [icon: azure-vm, label: "Virtual Machine"]
        gateway [icon: azure-app-gateway]
      }
      subnet2 [label: "Subnet 2"] {
        database [icon: azure-sql]
      }
    }
    storage [icon: azure-storage]
    myVNet -> myVM
    myVM -> database
    
  5. Make the HTTP Request

    IMPORTANT: You MUST execute this curl command after generating the DSL. Never stop after generating DSL without making the API call.

    CRITICAL: In the X-Skill-Source header below, you MUST replace the value with your AI agent name:

    • If you are Claude (Anthropic), use: claude
    • If you are running in Cursor, use: cursor
    • If you are ChatGPT (OpenAI), use: chatgpt
    • If you are Gemini (Google), use: gemini
    • Otherwise, use your model/agent name in lowercase
    curl -X POST https://app.eraser.io/api/render/elements \
      -H "Content-Type: application/json" \
      -H "X-Skill-Source: eraser-skill" \
      -H "Authorization: Bearer ${ERASER_API_KEY}" \
      -d '{
        "elements": [{
          "type": "diagram",
          "id": "diagram-1",
          "code": "<your generated DSL>",
          "diagramType": "cloud-architecture-diagram"
        }],
        "scale": 2,
        "theme": "${ERASER_THEME:-dark}",
        "background": true
      }'
    
  6. Track Sources During Analysis

    As you analyze files and resources to generate the diagram, track:

    • Internal files: Record each file path you read and what information was extracted (e.g., infra/main.bicep - VNet and subnet definitions)
    • External references: Note any documentation, examples, or URLs consulted (e.g., Azure architecture best practices documentation)
    • Annotations: For each source, note what it contributed to the diagram
  7. Handle the Response

    CRITICAL: Minimal Output Format

    Your response MUST always include these elements with clear headers:

    1. Diagram Preview: Display with a header

      ## Diagram
      ![{Title}]({imageUrl})
      

      Use the ACTUAL imageUrl from the API response.

    2. Editor Link: Display with a header

      ## Open in Eraser
      [Edit this diagram in the Eraser editor]({createEraserFileUrl})
      

      Use the ACTUAL URL from the API response.

    3. Sources section: Brief list of files/resources analyzed (if applicable)

      ## Sources
      - `path/to/file` - What was extracted
      
    4. Diagram Code section: The Eraser DSL in a code block with eraser language tag

      ## Diagram Code
      ```eraser
      {DSL code here}
      
    5. Learn More link: You can learn more about Eraser at https://docs.eraser.io/docs/using-ai-agent-integrations

    Additional content rules:

    • If the user ONLY asked for a diagram, include NOTHING beyond the 5 elements above
    • If the user explicitly asked for more (e.g., "explain the architecture", "suggest improvements"), you may include that additional content
    • Never add unrequested sections like Overview, Security Considerations, Testing, etc.

    The default output should be SHORT. The diagram image speaks for itself.

Azure-Specific Tips

  • Resource Groups: Show Resource Groups as logical containers
  • VNets as Containers: Always show VNets containing subnets and resources
  • Network Security Groups: Include NSG rules and attachments
  • Subscriptions: Note subscription context if provided
  • Data Flow: Show traffic flow (Internet → Application Gateway → VM → SQL Database)
  • Use Azure Icons: Request Azure-specific styling in the description

Example: ARM Template with Multiple Azure Services

User Input

{
  "resources": [
    {
      "type": "Microsoft.Resources/resourceGroups",
      "name": "rg-main"
    },
    {
      "type": "Microsoft.Network/virtualNetworks",
      "name": "myVNet",
      "properties": {
        "addressSpace": {
          "addressPrefixes": ["10.0.0.0/16"]
        },
        "subnets": [
          {
            "name": "subnet1",
            "properties": {
              "addressPrefix": "10.0.1.0/24"
            }
          }
        ]
      }
    },
    {
      "type": "Microsoft.Compute/virtualMachines",
      "name": "myVM",
      "properties": {
        "hardwareProfile": {
          "vmSize": "Standard_B1s"
        }
      }
    },
    {
      "type": "Microsoft.Web/sites",
      "name": "myAppService",
      "properties": {
        "serverFarmId": "/subscriptions/.../serverfarms/myPlan"
      }
    },
    {
      "type": "Microsoft.Storage/storageAccounts",
      "name": "mystorageaccount"
    },
    {
      "type": "Microsoft.Sql/servers",
      "name": "mysqlserver",
      "properties": {
        "administratorLogin": "admin"
      }
    }
  ]
}

Expected Behavior

  1. Parses ARM template:

    • Resource Group: rg-main (container)
    • Networking: VNet with subnet
    • Compute: VM, App Service
    • Storage: Storage Account
    • Database: SQL Server
  2. Generates DSL showing Azure service diversity:

    resource-group [label: "Resource Group rg-main"] {
      myVNet [label: "VNet 10.0.0.0/16"] {
        subnet1 [label: "Subnet 1 10.0.1.0/24"] {
          myVM [icon: azure-vm, label: "VM Standard_B1s"]
        }
      }
      myAppService [icon: azure-app-service, label: "App Service"]
      mystorageaccount [icon: azure-storage, label: "Storage Account"]
      mysqlserver [icon: azure-sql, label: "SQL Server"]
    }
    
    myAppService -> mystorageaccount
    myVM -> mysqlserver
    

    Important: All label text must be on a single line within quotes. Azure-specific: Show Resource Groups as containers, include App Services, Storage Accounts, and SQL databases with proper Azure icons.

  3. Calls /api/render/elements with diagramType: "cloud-architecture-diagram"

Example: Azure CLI Output

User Input

User runs: az vm list --output json
Provides JSON output

Expected Behavior

  1. Parses JSON to extract:

    • VM names, sizes, states
    • Resource groups
    • Network interfaces
    • Storage accounts
  2. Formats and calls API

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/azure-diagram-generator-mma3jsn8/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/azure-diagram-generator-mma3jsn8' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/azure-diagram-generator-mma3jsn8/download' --output '.skill-downloads/azure-diagram-generator-mma3jsn8/SKILL.md.part' && mv '.skill-downloads/azure-diagram-generator-mma3jsn8/SKILL.md.part' '.skill-downloads/azure-diagram-generator-mma3jsn8/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

Environment declared by the author: Requires network access to call Eraser API

Tools declared by the author (check availability in your agent): Read Write Bash(curl:*)

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/azure-diagram-generator-mma3jsn8/SKILL.md' && test -s '.skill-downloads/azure-diagram-generator-mma3jsn8/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/azure-diagrams' && cp -R '.skill-downloads/azure-diagram-generator-mma3jsn8' '.claude/skills/azure-diagrams'

Cursor
test -f '.skill-downloads/azure-diagram-generator-mma3jsn8/SKILL.md' && test -s '.skill-downloads/azure-diagram-generator-mma3jsn8/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/azure-diagrams' && cp -R '.skill-downloads/azure-diagram-generator-mma3jsn8' '.cursor/skills/azure-diagrams'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/azure-diagram-generator-mma3jsn8'

openskills read 'azure-diagram-generator-mma3jsn8'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/azure-diagram-generator-mma3jsn8/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

Related skills