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Bicep Diagrams

  • 417 installs
  • 30 repo stars
  • Updated April 7, 2026
  • eraserlabs/eraser-io

bicep-diagrams is a Claude Code skill at version 1.0.0 that generates Azure cloud architecture diagrams from Bicep files via the Eraser API for developers reviewing IaC topology and dependencies.

About

bicep-diagrams is an Eraser Labs skill at version 1.0.0 that parses Azure Bicep templates and renders cloud-architecture diagrams through the Eraser /api/render/elements endpoint. It extracts resource declarations, modules, parameters, outputs, dependsOn relationships, and VNet container hierarchies, then converts them to Eraser DSL with Azure icons before posting a curl request that returns an image URL and editor link. The skill requires network access, Read, Write, and Bash curl permissions, plus an ERASER_API_KEY environment variable. Developers reach for bicep-diagrams when they hold .bicep files and need deployment topology visuals, module boundary review, or shareable architecture diagrams without manually drawing Azure resource groups and subnets.

  • Bicep template parsing
  • Resource dependency graphs
  • Module hierarchy views
  • Azure deployment maps
  • Eraser diagram export

Bicep Diagrams by the numbers

  • 417 all-time installs (skills.sh)
  • Ranked #385 of 1,039 Cloud & Infrastructure skills by installs in the Skillselion catalog
  • Data as of Jul 24, 2026 (Skillselion catalog sync)
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Listed on Skillselion
Installs417
repo stars30
Last updatedApril 7, 2026
Repositoryeraserlabs/eraser-io

How do you diagram Azure Bicep infrastructure?

Visualize Azure Bicep templates and deployed resource groups as diagrams to review IaC structure, dependencies, and deployment topology.

Who is it for?

DevOps and platform developers who maintain Azure Bicep templates and need automated architecture diagrams with resource dependencies.

Skip if: Non-Azure infrastructure such as Terraform-only or AWS CloudFormation projects without Bicep source files.

When should I use this skill?

A user has .bicep files or asks to diagram, visualize, or review Azure Bicep infrastructure topology.

What you get

Rendered cloud-architecture diagram image, Eraser editor URL, Eraser DSL code block, and sources list of parsed Bicep files.

  • cloud architecture diagram image
  • Eraser editor URL
  • Eraser DSL diagram code

By the numbers

  • Skill metadata version 1.0.0
  • MIT licensed bicep-diagrams skill from Eraser Labs

Files

SKILL.mdMarkdownGitHub ↗

Bicep Diagram Generator

Generates architecture diagrams directly from Azure Bicep files. Bicep is a domain-specific language (DSL) for deploying Azure resources declaratively.

When to Use

Activate this skill when:

  • User has Bicep files (.bicep) and wants to visualize the infrastructure
  • User asks to "diagram my Bicep" or "visualize this Bicep infrastructure"
  • User mentions Bicep or Azure Bicep
  • User wants to see the architecture of their Bicep-deployed resources

How It Works

This skill generates Bicep-specific diagrams by parsing Bicep code and calling the Eraser API directly:

1. Parse Bicep Files: Identify resource declarations, modules, parameters, and outputs 2. Extract Relationships: Map dependencies, resource references, and module hierarchies 3. Generate Eraser DSL: Create Eraser DSL code from Bicep resources 4. Call Eraser API: Use /api/render/elements with diagramType: "cloud-architecture-diagram"

Instructions

When the user provides Bicep code:

1. Parse the Bicep

  • Identify all resource declarations (Microsoft.Compute/virtualMachines, etc.)
  • Extract module declarations and their configurations
  • Note param and output definitions
  • Identify var variables and their usage

2. Map Relationships

  • Track resource dependencies (e.g., dependsOn or implicit dependencies)
  • Group resources by type (compute, networking, storage, etc.)
  • Identify VNets as containers for subnets and resources
  • Note Network Security Groups, Key Vaults, and other security resources

3. Generate Eraser DSL Convert Bicep 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 VM sizes, 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

4. 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
     }'

5. Track Sources During Analysis

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

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

6. 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

{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.

7. Handle Modules

  • If modules are used, show module boundaries
  • Include module parameters and outputs
  • Show how modules connect to main resources

Bicep-Specific Tips

  • Show Resource Groups: Bicep deployments target resource groups
  • VNets as Containers: Show VNets containing subnets and resources
  • Include Dependencies: Show dependsOn relationships
  • Module Structure: If modules are used, show their boundaries
  • Parameters: Note key parameters that affect resource configuration
  • Use Azure Icons: Request Azure-specific styling

Example: Bicep with Parameters and Modules

User Input

@description('The name of the Virtual Network')
param vnetName string = 'myVNet'
@description('The address prefix for the VNet')
param vnetAddressPrefix string = '10.0.0.0/16'
@description('The address prefix for the subnet')
param subnetAddressPrefix string = '10.0.1.0/24'
@description('VM size')
param vmSize string = 'Standard_B1s'

// Main VNet resource
resource virtualNetwork 'Microsoft.Network/virtualNetworks@2021-05-01' = {
  name: vnetName
  location: resourceGroup().location
  properties: {
    addressSpace: {
      addressPrefixes: [vnetAddressPrefix]
    }
    subnets: [
      {
        name: 'subnet1'
        properties: {
          addressPrefix: subnetAddressPrefix
        }
      }
    ]
  }
}

// VM resource with dependsOn
resource virtualMachine 'Microsoft.Compute/virtualMachines@2021-11-01' = {
  name: 'myVM'
  location: resourceGroup().location
  properties: {
    hardwareProfile: {
      vmSize: vmSize
    }
  }
  dependsOn: [virtualNetwork]
}

// Module usage
module storageModule './modules/storage.bicep' = {
  name: 'storage'
  params: {
    location: resourceGroup().location
  }
}

Expected Behavior

1. Parses Bicep:

  • Parameters: vnetName, vnetAddressPrefix, subnetAddressPrefix, vmSize
  • Resources: VNet with subnet, VM with dependsOn relationship
  • Module: Storage module with parameters

2. Generates DSL showing Bicep-specific features:

   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"]
     }
   }

   storage-module [label: "Storage Module"] {
     storage-account [icon: azure-storage]
   }

   myVNet -> myVM

Important: All label text must be on a single line within quotes. Bicep-specific: Show modules as containers, include dependsOn relationships, note parameter usage in resource configuration.

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

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

Result

User receives a diagram showing:

  • VNet as a container
  • Subnet nested inside VNet
  • VM in the subnet
  • Dependency relationship shown
  • Proper Azure styling

Related skills

How it compares

Use bicep-diagrams for Azure Bicep-to-diagram automation rather than manual draw.io or generic architecture-sketch skills.

FAQ

What does bicep-diagrams require to render diagrams?

bicep-diagrams version 1.0.0 requires network access, an ERASER_API_KEY, and curl to POST generated Eraser DSL to https://app.eraser.io/api/render/elements with diagramType set to cloud-architecture-diagram.

Which Bicep elements does bicep-diagrams parse?

bicep-diagrams extracts resource declarations, module boundaries, param and output definitions, var usage, dependsOn relationships, and VNet container hierarchies. It converts them to Eraser DSL with Azure icons before rendering the diagram image.

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