name: diagram-to-image
description: Convert Mermaid diagrams and Markdown tables to images (PNG/SVG) for platforms that don't support rich formatting. Use when user asks to "convert to image", "export as PNG", "make this an image", or has content for X/Twitter that needs visual exports.

Diagram to Image

Convert Mermaid diagrams and Markdown tables to images (PNG/SVG) for use in platforms that don't support rich formatting, like X (Twitter).

When to Use

Use this skill when:
- User has a Mermaid diagram that needs to be converted to an image
- User has a Markdown table that needs to be converted to an image
- User is writing content for X/Twitter and needs visual exports
- User asks to "convert to image", "export as PNG", "make this an image", or similar

Prerequisites

Ensure dependencies are installed:

# Check if mermaid-cli is installed
which mmdc || npm install -g @mermaid-js/mermaid-cli

Smart Output Location

IMPORTANT: Determine the best output location based on context. Follow this decision tree:

1. User Specifies Path

If user explicitly mentions a path or filename, use that.

2. Project Context Detection

Check for common image/asset directories in the current project:

# Check for existing image directories (in order of preference)
ls -d ./images ./assets ./img ./static ./public/images ./assets/images 2>/dev/null | head -1

Use the first existing directory found. Common patterns:
- ./images/ - General projects
- ./assets/ - Web projects
- ./assets/images/ - Structured web projects
- ./public/images/ - Next.js, React projects
- ./static/ - Hugo, other static site generators
- ./img/ - Short form convention

3. Article/Document Context

If user is writing an article or document:
- Look for the document's directory
- Create images/ subdirectory if appropriate
- Name the image based on the document name + descriptor

4. Conversation Context

Analyze the conversation to determine:
- What the diagram represents → Use for filename (e.g., auth-flow.png, user-journey.png)
- Related file being discussed → Place image near that file
- Topic being discussed → Use for naming

5. Default Fallback

If no context clues:
- Use current working directory
- Generate descriptive filename from diagram content

Filename Generation

Create meaningful filenames based on content analysis:

Rules:
- Use kebab-case (lowercase with hyphens)
- Keep names concise but descriptive (2-4 words)
- Avoid generic names like diagram.png or image.png
- Include topic/subject when identifiable

Conversion Process

Step 1: Analyze Context

Before converting, gather context:
1. Check current working directory
2. Look for existing image directories
3. Analyze diagram/table content for naming
4. Consider any files or topics mentioned in conversation

Step 2: Determine Output Path

# Example logic (implement mentally, not as literal script)
if user_specified_path:
    output_path = user_specified_path
elif exists("./images"):
    output_path = "./images/{generated_name}.png"
elif exists("./assets"):
    output_path = "./assets/{generated_name}.png"
elif exists("./public/images"):
    output_path = "./public/images/{generated_name}.png"
else:
    output_path = "./{generated_name}.png"

Step 3: Create Temporary Input File

# For Mermaid
cat > /tmp/diagram.mmd << 'DIAGRAM_EOF'
<mermaid content>
DIAGRAM_EOF

# For Markdown table
cat > /tmp/table.md << 'TABLE_EOF'
<table content>
TABLE_EOF

Step 4: Convert

Mermaid to PNG:

mmdc -i /tmp/diagram.mmd -o <output_path>.png -b white -s 2

Mermaid to SVG:

mmdc -i /tmp/diagram.mmd -o <output_path>.svg -b transparent

Table to PNG:

python3 ~/.claude/skills/diagram-to-image/scripts/table_to_image.py /tmp/table.md <output_path>.png

Step 5: Report Result

After conversion, tell the user:
1. Full path where image was saved
2. Why that location was chosen (briefly)
3. Image dimensions or file size
4. Suggest they can specify a different location if needed

Examples

Example 1: Project with images/ directory

Context: User is in a project that has ./images/ directory, discussing authentication.

User: "Convert this to an image"

flowchart TD
    A[Login] --> B{Valid?}
    B -->|Yes| C[Dashboard]
    B -->|No| D[Error]

Action:
1. Detect ./images/ exists
2. Analyze content → authentication flow
3. Generate filename: login-flow.png
4. Output: ./images/login-flow.png

Example 2: Writing X article about AI

Context: User mentioned writing an article about AI agents for X.

User: "Make this a PNG"

flowchart LR
    User --> Agent --> Tools --> Response

Action:
1. No standard image directory found
2. Context: AI agents article for X
3. Generate filename: ai-agent-flow.png
4. Output: ./ai-agent-flow.png

Example 3: Data comparison table

User: "Export this table as image"

| Model | Speed | Accuracy |
|-------|-------|----------|
| GPT-4 | Slow | High |
| Claude | Fast | High |

Action:
1. Check for image directories
2. Analyze content → model comparison
3. Generate filename: model-comparison.png
4. Output to appropriate location

Example 4: User specifies location

User: "Save this diagram to ~/Desktop/my-chart.png"

Action: Use exactly ~/Desktop/my-chart.png as specified.

Error Handling

• If output directory doesn't exist, create it (with user confirmation for new directories)
• If file already exists, append number: auth-flow-2.png
• If mmdc not installed: npm install -g @mermaid-js/mermaid-cli
• If Pillow not installed: pip install pillow