JackKuo666

Scientific Graphical Abstract Skill

设计创意v0.1.2
作者:JackKuo666更新于 2026-05-11共 3 个版本 · 最新版本发布于 2026-03-06scientific-graphical-abstract-skill@clawhub_jackkuo666/scientific-graphical-abstract-skill
图片生成视觉素材

据 AlphaMoat 统计,截至 2026-09,Scientific Graphical Abstract Skill 累计下载 2,326 次、获 2 个星标,在全部 5,078 个 AI 技能中排名第 4,222 位,在「设计创意」分类(512 个)中排名第 418 位。

累计安装
130
累计下载
2,326
星标
2
全站排名
#4,222
全站前 84% · 「设计创意」前 82%
平台累计安装累计下载星标评论
ClawHub ↗371,3731-
SkillHub ↗1302,3262—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

技能文档介绍以提示词或 CSV/JSON 数据构建 SVG 图形摘要、流程图和常见图表,并可调整样式后在矢量编辑器中继续修改。虽然文档宣传可选 AI 模型支持,但 当前实现实际上不会调用这些服务;在实现明确更新前,应将其视为本地模板/SVG 构建。生成的 SVG 可能含有来自不可信提示或数据的文字与属性,嵌入网站或投稿系统前应检查并清理。

资料发布于 2026-10-29

可以用来做什么

  • 需要为研究论文、演示文稿或期刊图件工作流制作可编辑图形摘要与示意图的研究者和作者。

什么时候用

  • 核验数据与提示内容;不要假设生成器会调用文档所列 AI 服务。将 SVG 用于网站或投稿前,审查并清理文字和属性。

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

概述如何从结构化数据生成 SVG 图表,并说明当前实现和输出清理注意事项;不要调用模型或创建文件。

月度数据趋势

累计下载2,326
3431,4082,4732026-03 · 累计下载 4902026-05 · 累计下载 8952026-06 · 累计下载 1,0832026-07 · 累计下载 1,4082026-08 · 累计下载 1,7012026-09 · 累计下载 2,32626-0326-09
星标2
0122026-03 · 星标 -2026-05 · 星标 12026-06 · 星标 22026-07 · 星标 22026-08 · 星标 22026-09 · 星标 226-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-092,326—2
2026-081,701+20.8%2
2026-071,408+30.0%2
2026-061,083+21.0%2
2026-05895—1
2026-03490—-

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 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
展开全部(共 128 行)
- **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

「设计创意」分类下的热门技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。