diagram

What this skill does

# Eraser Diagram Generator

Generates professional architecture diagrams directly from code, infrastructure files, or natural language descriptions using the Eraser API.

## When to Use

Activate this skill when:

- User asks to create, generate, or visualize a diagram
- User wants to document architecture from code
- User has Terraform, AWS, Azure, or infrastructure files
- User describes a system and wants it visualized
- User mentions "diagram", "architecture", "visualize", or "draw"

## How It Works

1. **Analyze the source**: Extract architecture information from code, files, or descriptions
2. **Generate Eraser DSL**: Create Eraser DSL code that describes the diagram
3. **Call the Eraser API**: Make an HTTP POST request to render the diagram
4. **Return the result**: Present the image URL and editor link to the user

## Diagram Types and Syntax

Eraser supports five types of diagrams, each optimized for different use cases. For detailed DSL syntax and examples, refer to the appropriate reference file:

### Flow Charts

Visualize process flows, user flows, and logic flows represented as nodes, groups, and relationships. Diagrams are created using simple syntax.

**Use for**: Process flows, user journeys, decision trees, business process documentation

**diagramType**: `"flowchart-diagram"`

**Reference**: [Flowchart Syntax](references/flowchart-syntax.md)

### Entity Relationship Diagrams (ERD)

Visualize data models represented as entities, attributes, and relationships. Diagrams are created using simple syntax.

**Use for**: Database schema design, data modeling, understanding entity relationships, documenting data structures

**diagramType**: `"entity-relationship-diagram"`

**Reference**: [ERD Syntax](references/erd-syntax.md)

### Cloud Architecture Diagrams

Visualize cloud infrastructure represented as nodes, groups, and connections. Diagrams are created using simple syntax.

**Use for**: Cloud infrastructure visualization, AWS/Azure/GCP architectures, system architecture documentation, data flow visualization

**diagramType**: `"cloud-architecture-diagram"`

**Reference**: [Architecture Syntax](references/architecture-syntax.md)

### Sequence Diagrams

Visualize system flows using sequence diagrams. Each vertical column represents an entity (e.g. user, server, DB) and arrows between the columns represent the flow of information or requests. Diagrams are created using simple syntax.

**Use for**: API request/response flows, system interactions, user workflows, message passing between services, process flows over time

**diagramType**: `"sequence-diagram"`

**Reference**: [Sequence Syntax](references/sequence-syntax.md)

### BPMN Diagrams (Swimlane Diagrams)

Visualize business processes represented as pools, lanes, and flow objects such as tasks, events, and gateways. Diagrams are created using simple syntax.

**Use for**: Business process documentation, workflow visualization, process improvement, cross-functional processes, swimlane diagrams showing roles/responsibilities

**diagramType**: `"bpmn-diagram"`

**Reference**: [BPMN Syntax](references/bpmn-syntax.md)

Each reference file contains complete syntax documentation, property references, and practical examples.

## API Integration

### Endpoint

```
POST https://app.eraser.io/api/render/elements
Content-Type: application/json
Authorization: Bearer ${ERASER_API_TOKEN}
X-Skill-Source: eraser-skill
```

**Note**: The `X-Skill-Source` header identifies the AI agent. You MUST replace `eraser-skill` with your actual 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

### Response Format

```json
{
  "imageUrl": "https://storage.googleapis.com/eraser-images/...",
  "createEraserFileUrl": "https://app.eraser.io/new?requestId=abc123&state=xyz789",
  "renderedElements": [...]
}
```

### Error Responses

| Status | Error | Cause | Solution |
| --- | --- | --- | --- |
| 400 | `Diagram element has no code` | Missing `code` field in element | Ensure element has valid DSL code |
| 400 | `Diagram element has no diagramType` | Missing `diagramType` field | Add valid diagramType to element |
| 400 | `Invalid diagramType` | Unsupported diagram type | Use one of the supported types listed above |
| 401 | `Unauthorized` | Invalid or expired API token | Check `ERASER_API_TOKEN` is valid |
| 500 | `Internal server error` | Server-side issue | Retry the request; if persistent, contact support |

**Error Response Format:**

```json
{
  "error": {
    "message": "Diagram element has no code",
    "status": 400
  }
}
```

**Troubleshooting Tips:**

- Verify DSL syntax is correct before making the API call
- Ensure `diagramType` matches the DSL content (e.g., sequence DSL with `sequence-diagram`)
- For auth errors, verify the API key is set correctly as an environment variable

## Instructions

When the user requests a diagram:

1. **Extract Information**

   - If code/files are provided, analyze the structure, resources, and relationships
   - If description is provided, identify key components and connections
   - Determine the appropriate diagram type

2. **Generate Eraser DSL**

   - Create Eraser DSL code that represents the architecture
   - **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)
   - For detailed DSL syntax and examples, see the [Diagram Types and Syntax](#diagram-types-and-syntax) section above for links to reference files

3. **Create Element Definition**

   - Create an element object with:
     - `type: "diagram"`
     - `id: "diagram-1"` (or generate a unique ID)
     - `code: "<your generated DSL code>"`
     - `diagramType: "<appropriate type>"`

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**: Replace `eraser-skill` in the `X-Skill-Source` header with your actual AI agent name (see API Integration section above for values).

   ```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 ${ERASER_API_TOKEN}" \
     -d '{
       "elements": [{
         "type": "diagram",
         "id": "diagram-1",
         "code": "<your generated DSL>",
         "diagramType": "cloud-architecture-diagram"
       }],
       "scale": 2,
       "theme": "${ERASER_THEME:-dark}",
       "background": true
     }'
   ```

5. **Track Sources During Analysis**

   As you analyze 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.tf` - VPC and subnet definitions)
   - **External references**: Note any documentation, examples, or URLs consulted (e.g., AWS VPC best practices documentation)
   - **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)
      ```
      ## Sour