eraser-diagrams — Claude Code skill: architecture diagrams from code
Turns source code, infrastructure files or a written description into an architecture diagram, rendered through the Eraser API.
npx skills add eraserlabs/eraser-io --skill eraser-diagrams -a claude-codeWhat eraser-diagrams does
The skill reads whatever it is given: application code, Terraform, cloud configuration or plain prose. It picks a matching format and writes Eraser DSL for it. Five formats are covered: flowchart, entity-relationship, cloud architecture, sequence and BPMN swimlanes. Each one has a reference file in the skill with the syntax and worked examples.
Once the DSL is ready, the agent posts it to https://app.eraser.io/api/render/elements with curl and receives a link to the rendered image plus an editor URL. The skill runs with Read, Write and Bash(curl:*). Its instructions are blunt about finishing the job: generate the DSL, then actually call the API.
Network access is mandatory, and the skill says so. You also need ERASER_API_KEY exported, because a 401 means the key is wrong or expired. The X-Skill-Source header must carry the agent's real name in place of eraser-skill.
What it helps with
- map service dependencies from Terraform files
- derive an ERD from database models
- show a client how requests flow between services
- document a cross-team process as BPMN swimlanes
- get an editable diagram out of a system description
Example prompts for the agent
- Diagram the cloud architecture in
main.tf: services, databases and how they connect - Draw a sequence diagram for the OAuth login flow in our backend
- Build an ERD from the tables in
db/schema.sql
How to install eraser-diagrams
1Skills CLI (Vercel)
npx skills add eraserlabs/eraser-io --skill eraser-diagrams -a claude-code2Manually: put the files in place
~/.claude/skills/eraser-diagrams/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/eraser-diagrams/
1Skills CLI (Vercel)
npx skills add eraserlabs/eraser-io --skill eraser-diagrams -a codex2Manually: put the files in place
.agents/skills/eraser-diagrams/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add eraserlabs/eraser-io --skill eraser-diagrams -a cursor2Manually: put the files in place
.cursor/skills/eraser-diagrams/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install eraserlabs/eraser-io eraser-diagrams2Manually: put the files in place
.github/skills/eraser-diagrams/SKILL.md1Skills CLI (Vercel)
npx skills add eraserlabs/eraser-io --skill eraser-diagrams -a gemini-cli2Platform CLI
gemini skills install https://github.com/eraserlabs/eraser-io --path skills/eraser-diagramsManually: put the files in place
.devin/skills/eraser-diagrams/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add eraserlabs/eraser-io --skill eraser-diagrams -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about eraser-diagrams
How do I install eraser-diagrams in Claude Code?
Run npx skills add eraserlabs/eraser-io --skill eraser-diagrams -a claude-code. The skill file lands at ~/.claude/skills/eraser-diagrams/SKILL.md.
What does eraser-diagrams do?
It pulls architecture details out of code, infrastructure or a description, writes Eraser DSL, then calls the render API and hands back the image and an editor link.
What do I need before using it?
Working network access and an ERASER_API_KEY environment variable. Both are required; the skill cannot render anything without the API call.
Source text
SKILL.md · MIT
---
name: eraser-diagrams
description: 'Generates architecture diagrams from code, infrastructure, or descriptions. Use when user asks to visualize, diagram, or document system architecture.'
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: diagram, architecture, infrastructure, visualization, terraform, aws, azure, cloud
---
# 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_KEY}
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 key | Check `ERASER_API_KEY` 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 ${ERASER_API_KEY}" \
-d '{
"elements": [{
"type": "diagram",
"id": "diagram-1",
"code": "<your generated DSL>",
"diagramType": "cloud-architecture-diagram"
}],
"scale": 2,
"theme": "${ERASER_THEME:-dark}",
"background": true
}'
```
5. **Track Sources During Analysis**
As you analyze 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

```
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.
7. **Error Handling**
- If API call fails, explain the error
- Suggest checking API key if authentication fails
- Offer to regenerate DSL code as fallback
## Best Practices
- **Generate Valid DSL**: Ensure the DSL syntax is correct before calling the API
- **Quote Labels Properly**: Always quote labels that contain spaces, special characters, or numbers
- **Single-Line Labels**: Labels MUST be on a single line - never use newlines inside label attributes
- **Format for Readability**: Put each node, group, and connection on its own line (but keep labels single-line)
- **Include Metadata**: If including CIDR blocks, instance types, etc., put them in the same quoted label string: `[label: "VPC 10.0.0.0/16"]`
- **Use Appropriate Diagram Type**: Choose the right `diagramType` for the content
- **Group Related Items**: Use containers (VPCs, modules) to group related components
- **Specify Connections**: Show data flows, dependencies, and relationships
- **Handle Large Systems**: Break down very large systems into focused diagrams
- **Include Source Header**: Always include `X-Skill-Source` header with your AI agent name (claude, cursor, chatgpt, etc.)
## Notes
- Free tier diagrams include a watermark but are fully functional
- The `createEraserFileUrl` is always returned (works for both free and paid tiers) and allows users to edit diagrams in the Eraser web editor
- The DSL code can be used to regenerate or modify diagrams
- API responses are cached, so identical requests return quickly
© Eraser Labs · MIT · eraserlabs/eraser-io