plantuml-renderer
Render PlantUML diagrams to various image formats with theme and styling support
npx skills add a5c-ai/babysitter --skill plantuml-renderer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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", "de
- Overview
- Capabilities
- Target Processes
- Input Schema
- Output Schema
- Usage Example
What does the plantuml-renderer skill do?
Render PlantUML diagrams to various image formats with theme and styling support
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill plantuml-renderer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.