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.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 37 | 1.4K | 1 | - |
| SkillHub ↗ | 130 | 2.3K | 2 | — |
Platforms count differently and update at different times.
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
Generated from the skill’s documentation as examples; not results of actual runs.
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.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.3K | — | 2 |
| 2026-08 | 1.7K | +20.8% | 2 |
| 2026-07 | 1.4K | +30.0% | 2 |
| 2026-06 | 1.1K | +21.0% | 2 |
| 2026-05 | 895 | — | 1 |
| 2026-03 | 490 | — | - |
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.
# 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: ```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
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.