plantuml-renderer
Render PlantUML diagrams to various image formats with theme and styling support
Best use case
plantuml-renderer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Render PlantUML diagrams to various image formats with theme and styling support
Teams using plantuml-renderer 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/plantuml-renderer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How plantuml-renderer Compares
| Feature / Agent | plantuml-renderer | 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?
Render PlantUML diagrams to various image formats with theme and styling support
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
# PlantUML Renderer Skill
## Overview
Renders PlantUML source files to images supporting sequence, class, component, and deployment diagrams with custom themes and batch processing.
## Capabilities
- Render PlantUML to PNG, SVG, PDF, and EPS formats
- Support sequence, class, component, deployment, activity, and state diagrams
- Apply custom themes and styling
- Batch rendering of multiple diagrams
- Generate image maps for interactive diagrams
- Support PlantUML preprocessor directives
## Target Processes
- c4-model-documentation
- ddd-strategic-modeling
- event-storming
- data-architecture-design
## Input Schema
```json
{
"type": "object",
"required": ["source"],
"properties": {
"source": {
"type": "string",
"description": "PlantUML source code or file path"
},
"outputFormat": {
"type": "string",
"enum": ["png", "svg", "pdf", "eps"],
"default": "png"
},
"outputPath": {
"type": "string",
"description": "Output file path"
},
"theme": {
"type": "string",
"description": "PlantUML theme name (e.g., 'cerulean', 'superhero')"
},
"config": {
"type": "object",
"properties": {
"skinParams": {
"type": "object",
"description": "PlantUML skinparam settings"
},
"scale": {
"type": "number",
"default": 1
}
}
}
}
}
```
## Output Schema
```json
{
"type": "object",
"properties": {
"outputPath": {
"type": "string",
"description": "Path to rendered image"
},
"format": {
"type": "string"
},
"dimensions": {
"type": "object",
"properties": {
"width": { "type": "number" },
"height": { "type": "number" }
}
},
"metadata": {
"type": "object"
}
}
}
```
## Usage Example
```javascript
{
kind: 'skill',
skill: {
name: 'plantuml-renderer',
context: {
source: '@startuml\nAlice -> Bob: Hello\n@enduml',
outputFormat: 'svg',
outputPath: 'docs/diagrams/sequence.svg',
theme: 'cerulean'
}
}
}
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