JackKuo666

Scientific Graphical Abstract Skill

設計創意v0.1.2
作者:JackKuo666更新於 2026-05-11共 3 個版本 · 最新版本釋出於 2026-03-06scientific-graphical-abstract-skill@clawhub_jackkuo666/scientific-graphical-abstract-skill
圖片生成視覺素材

據 AlphaMoat 統計,截至 2026-09,Scientific Graphical Abstract Skill 累計下載 2,326 次、獲 2 個星標,在全部 5,078 個 AI 技能中排名第 4,222 位,在「設計創意」分類(512 個)中排名第 418 位。

累計安裝
130
累計下載
2326
星標
2
全站排名
#4,222
全站前 84% · 「設計創意」前 82%
平台累計安裝累計下載星標評論
ClawHub ↗3713731-
SkillHub ↗13023262—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

技能文件介紹以提示詞或 CSV/JSON 資料構建 SVG 圖形摘要、流程圖和常見圖表,並可調整樣式後在向量編輯器中繼續修改。雖然文件宣傳可選 AI 模型支援,但 當前實現實際上不會呼叫這些服務;在實現明確更新前,應將其視為本地模板/SVG 構建。生成的 SVG 可能含有來自不可信提示或資料的文字與屬性,嵌入網站或投稿系統前應檢查並清理。

資料釋出於 2026-10-29

可以用來做什麼

  • 需要為研究論文、簡報或期刊圖件工作流製作可編輯圖形摘要與示意圖的研究者和作者。

什麼時候用

  • 核驗資料與提示內容;不要假設生成器會呼叫文件所列 AI 服務。將 SVG 用於網站或投稿前,審查並清理文字和屬性。

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

概述如何從結構化資料生成 SVG 圖表,並說明當前實現和輸出清理注意事項;不要呼叫模型或建立檔案。

月度資料趨勢

累計下載2326
343140824732026-03 · 累計下載 4902026-05 · 累計下載 8952026-06 · 累計下載 10832026-07 · 累計下載 14082026-08 · 累計下載 17012026-09 · 累計下載 232626-0326-09
星標2
0122026-03 · 星標 -2026-05 · 星標 12026-06 · 星標 22026-07 · 星標 22026-08 · 星標 22026-09 · 星標 226-0326-09

2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。

月份累計下載環比星標
2026-092326—2
2026-081701+20.8%2
2026-071408+30.0%2
2026-061083+21.0%2
2026-05895—1
2026-03490—-

SKILL.md 原文

以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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
展開全部(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

「設計創意」分類下的熱門技能

資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。