azure-diagrams
Visualizes Azure infrastructure from ARM templates, Azure CLI, or descriptions. Use when user has Azure resources to diagram.
Best use case
azure-diagrams is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Visualizes Azure infrastructure from ARM templates, Azure CLI, or descriptions. Use when user has Azure resources to diagram.
Teams using azure-diagrams should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/azure-diagrams/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-diagrams Compares
| Feature / Agent | azure-diagrams | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Visualizes Azure infrastructure from ARM templates, Azure CLI, or descriptions. Use when user has Azure resources to diagram.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
```bash
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

```
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
```json
{
"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
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