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Scientific Graphical Abstract Skill

Generate editable, publication-quality SVG graphical abstracts for scientific papers using AI models with customizable charts, diagrams, and data-driven visu...
利用AI模型生成可编辑、出版级质量的科学论文SVG图形摘要,支持自定义图表与数据可视化。
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概述

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.

OptionDescription
---------------------
--promptDescription of what to visualize
--dataData file (CSV/JSON) for charts
--typeChart type: bar, line, pie, scatter, flowchart, diagram
--modelAI model: claude, gpt4o, deepseek (default: claude)
--styleStyle: minimal, professional, colorful, journal
--outputOutput SVG file path
--widthCanvas width (default: 800)
--heightCanvas height (default: 600)

template

Use predefined templates for common visualizations.

OptionDescription
---------------------
--typeTemplate type: workflow, mechanism, comparison, timeline
--promptSpecific 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

版本历史

共 2 个版本

  • v0.1.2 当前
    2026-03-29 21:51 安全 安全
  • v0.1.0
    2026-03-07 02:01

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