JackKuo666

Scientific Graphical Abstract Skill

Design & Mediav0.1.2
By JackKuo666Updated 2026-05-113 versions · latest released 2026-03-06scientific-graphical-abstract-skill@clawhub_jackkuo666/scientific-graphical-abstract-skill
Image GenerationVisual Assets

According to AlphaMoat, as of 2026-09, Scientific Graphical Abstract Skill has 2,326 downloads and 2 stars — ranked #4,222 of 5,078 AI skills overall, and #418 of 512 in Design & Media.

Installs
130
Downloads
2.3K
Stars
2
Overall Rank
#4,222
Top 84% overall · Top 82% in Design & Media
PlatformInstallsDownloadsStarsComments
ClawHub ↗371.4K1-
SkillHub ↗1302.3K2—

Platforms count differently and update at different times.

What this skill does

The documentation describes building SVG abstracts, flowcharts, and common charts from prompts or CSV/JSON data, with style options and further editing in vector tools. Although it advertises optional AI-model support, the current implementation does not actually call those providers; treat it as local template/SVG construction unless the implementation is updated. Generated SVG text and attributes may derive from untrusted prompts or data, so review and sanitize them before embedding output in a website or publication system.

Profile published 2026-10-29

What you can do with it

  • Researchers and authors creating editable graphical abstracts and diagrams for papers, presentations, or journal workflows.

When to use it

  • Verify input data and prompt content. Do not assume the generator calls the advertised AI services. Review and sanitize SVG text and attributes before using it on a website or in a publication system.

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Summarize how structured data can produce an SVG chart and explain implementation and output-cleaning caveats; do not call a model or create a file.

Monthly Trend

Downloads2.3K
3431.4K2.5K2026-03 · Downloads 4902026-05 · Downloads 8952026-06 · Downloads 1.1K2026-07 · Downloads 1.4K2026-08 · Downloads 1.7K2026-09 · Downloads 2.3K26-0326-09
Stars2
0122026-03 · Stars -2026-05 · Stars 12026-06 · Stars 22026-07 · Stars 22026-08 · Stars 22026-09 · Stars 226-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-092.3K—2
2026-081.7K+20.8%2
2026-071.4K+30.0%2
2026-061.1K+21.0%2
2026-05895—1
2026-03490—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

4.3 KB · ClawHub v0.1.2
# 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
Show all (128 lines)
- **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:
```xml
<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](../sci-data-extractor/) - Extract data from scientific papers
- [semanticscholar-search-skill](../semanticscholar-search-skill/) - Search academic papers
- [pubmed-search-skill](../pubmed-search-skill/) - Search biomedical literature

Popular in Design & Media

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.