graphviz-renderer

Render Graphviz DOT graphs to images with multiple layout algorithms

509 stars

bya5c-ai

View on GitHub Installation ↓

Best use case

graphviz-renderer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Render Graphviz DOT graphs to images with multiple layout algorithms

Teams using graphviz-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

$curl -o ~/.claude/skills/graphviz-renderer/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/software-architecture/skills/graphviz-renderer/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/graphviz-renderer/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How graphviz-renderer Compares

Feature / Agent	graphviz-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 Graphviz DOT graphs to images with multiple layout algorithms

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

# Graphviz DOT Renderer Skill

## Overview

Renders Graphviz DOT graph definitions to images supporting multiple layout algorithms for dependency visualization and large graph rendering.

## Capabilities

- Render DOT graphs to PNG, SVG, PDF, PS formats
- Multiple layout algorithms (dot, neato, fdp, sfdp, twopi, circo)
- Large graph support with sfdp algorithm
- Dependency visualization
- Custom node and edge styling
- Subgraph and cluster support

## Target Processes

- microservices-decomposition
- ddd-strategic-modeling
- observability-implementation

## Input Schema

```json
{
  "type": "object",
  "required": ["source"],
  "properties": {
    "source": {
      "type": "string",
      "description": "DOT graph definition"
    },
    "outputFormat": {
      "type": "string",
      "enum": ["png", "svg", "pdf", "ps"],
      "default": "svg"
    },
    "outputPath": {
      "type": "string",
      "description": "Output file path"
    },
    "layout": {
      "type": "string",
      "enum": ["dot", "neato", "fdp", "sfdp", "twopi", "circo"],
      "default": "dot",
      "description": "Layout algorithm"
    },
    "config": {
      "type": "object",
      "properties": {
        "dpi": {
          "type": "number",
          "default": 96
        },
        "rankdir": {
          "type": "string",
          "enum": ["TB", "BT", "LR", "RL"],
          "default": "TB"
        }
      }
    }
  }
}
```

## Output Schema

```json
{
  "type": "object",
  "properties": {
    "outputPath": {
      "type": "string",
      "description": "Path to rendered image"
    },
    "format": {
      "type": "string"
    },
    "nodeCount": {
      "type": "number"
    },
    "edgeCount": {
      "type": "number"
    }
  }
}
```

## Usage Example

```javascript
{
  kind: 'skill',
  skill: {
    name: 'graphviz-renderer',
    context: {
      source: 'digraph G { A -> B -> C; A -> C; }',
      outputFormat: 'svg',
      outputPath: 'docs/diagrams/dependencies.svg',
      layout: 'dot'
    }
  }
}
```

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