azure-diagrams

name	azure-diagrams
description	Visualizes Azure infrastructure from ARM templates, Azure CLI, or descriptions. Use when user has Azure resources to diagram. Use when this capability is needed.
metadata	{"author":"eraserlabs"}

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"
            }
          }
        ]
      }
    }
    
       
       
       
         
           
        
      
    
    
       
       
       
         
      
    
    
       
       
    
    
       
       
       
         
      
    
  

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

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