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。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 37 | 1373 | 1 | - |
| SkillHub ↗ | 130 | 2326 | 2 | — |
各平台的計數口徑不同,統計時間不一致。
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
以下是根據技能文件生成的示例,不代表實際執行結果。
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 |
|---|---|---|---|
| 2026-09 | 2326 | — | 2 |
| 2026-08 | 1701 | +20.8% | 2 |
| 2026-07 | 1408 | +30.0% | 2 |
| 2026-06 | 1083 | +21.0% | 2 |
| 2026-05 | 895 | — | 1 |
| 2026-03 | 490 | — | - |
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。
# 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
ContextWeave 架構圖一鍵生成
用 Nano Banana Pro 生成或編輯圖片的指令碼技能。
用 whisper 命令列工具在本機將音訊轉成文字或進行翻譯。
透過 MCP 服務生成與編輯圖表的技能。
面向介面設計的思路與落地建議技能,覆蓋佈局、互動流程、設計令牌與前端改動。
面向多家影片模型 API 的 AI 影片生成與編排技能。
用 ffmpeg 從影片裡取出畫面幀,或生成便於快速檢視的縮圖。
用本地 Whisper 把音訊檔案轉成文字,模型下載完成後可完全離線執行。
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。