Scientific Graphical Abstract Generator
AI-Powered Scientific Visualization Tool - Generate editable graphical abstracts for research papers
Description
Generate professional graphical abstracts for scientific papers using multiple AI models. This skill transforms research descriptions and data into publication-quality, editable SVG visualizations.
Features
- Multiple AI Models: Support for Claude, GPT-4o, DeepSeek, and other multimodal models
- Editable SVG Output: Generate vector graphics that can be edited in Inkscape, Illustrator, or any SVG editor
- Multiple Chart Types: Bar charts, line charts, pie charts, scatter plots, flowcharts, diagrams
- Data-Driven Visuals: Automatically create charts from CSV/JSON data
- Customizable Styles: Adjust colors, fonts, layouts to match journal requirements
- Publication Ready: High-quality output suitable for scientific journals
Usage
/graphical-abstract Generate a graphical abstract showing the research workflow for a CRISPR gene editing study
/graphical-abstract Create a bar chart comparing the performance of three different machine learning models from this data: [data]
/graphical-abstract Design a flowchart illustrating the mechanism of action of the proposed drug
/graphical-abstract Generate a line chart showing temperature changes over time from the following CSV data
Examples
Generate Research Workflow Diagram
/graphical-abstract Create a graphical abstract showing the workflow: Sample preparation → RNA extraction → Sequencing → Data analysis → Results visualization. Use a clean, professional style with blue color scheme.
Create Data Visualization
/graphical-abstract Generate a bar chart with the following data:
Model A: 85% accuracy
Model B: 92% accuracy
Model C: 78% accuracy
Title: Model Performance Comparison
Y-axis: Accuracy (%)
Color scheme: Professional blue gradient
Generate Mechanism Diagram
/graphical-abstract Design a schematic diagram showing how the proposed inhibitor binds to the active site of the enzyme, blocking substrate access. Include labels for key components.
Command Reference
generate
Generate a graphical abstract.
| Option | Description |
|---|---|
--prompt | Description of what to visualize |
--data | Data file (CSV/JSON) for charts |
--type | Chart type: bar, line, pie, scatter, flowchart, diagram |
--model | AI model: claude, gpt4o, deepseek (default: claude) |
--style | Style: minimal, professional, colorful, journal |
--output | Output SVG file path |
--width | Canvas width (default: 800) |
--height | Canvas height (default: 600) |
template
Use predefined templates for common visualizations.
| Option | Description |
|---|---|
--type | Template type: workflow, mechanism, comparison, timeline |
--prompt | Specific requirements |
Supported Models
Claude (Recommended)
- Best for: Complex diagrams, scientific illustrations
- Vision capabilities: Excellent
- API: Anthropic Claude API
GPT-4o
- Best for: Charts, data visualization
- Vision capabilities: Very good
- API: OpenAI API
DeepSeek
- Best for: Technical diagrams, cost-effective
- Vision capabilities: Good
- API: DeepSeek API
Output Format
All outputs are in SVG format which offers:
- Editable: Open in Inkscape, Adobe Illustrator, or any text editor
- Scalable: Infinite resolution without quality loss
- Web-ready: Can be embedded directly in websites
- Publication quality: Meets most journal requirements
Example SVG structure:
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 800 600">
<!-- Editable elements with clear structure -->
<g id="chart-area">...</g>
<g id="labels">...</g>
<g id="legend">...</g>
</svg>
Notes
- For complex visualizations, provide detailed descriptions
- Data files should be in CSV or JSON format
- SVG files can be edited after generation
- Different models may produce different styles
- Journal-specific requirements can be specified in the prompt
Related Skills
- sci-data-extractor - Extract data from scientific papers
- semanticscholar-search-skill - Search academic papers
- pubmed-search-skill - Search biomedical literature