Overview
- Skill Key
- aipoch-ai/figure-legend-gen
- Author
- AIPOCH
- Source Repo
- openclaw/skills
- Version
- 1.0.0
- Source Path
- skills/aipoch-ai/figure-legend-gen
- Latest Commit SHA
- 010ee3b1528fbdf2cc3aa78b818d73164063d088
Generate standardized figure legends for scientific charts and graphs. Trigger when user uploads/requesting legend for research figures, academic papers, or data charts. Supports bar charts, line graphs, scatter plots, box plots, heatmaps, and microscopy images. This tool generates text legends only, not visualizations.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 figure-legend-gen 技能。 若已安装,则直接安装 figure-legend-gen 技能。
# Figure Legend Generator Generate publication-quality figure legends for scientific research charts and images. ## Supported Chart Types | Chart Type | Description | |------------|-------------| | Bar Chart | Compare values across categories | | Line Graph | Show trends over time or continuous data | | Scatter Plot | Display relationships between variables | | Box Plot | Show distribution and outliers | | Heatmap | Display matrix data intensity | | Microscopy | Fluorescence/confocal images | | Flow Cytometry | FACS plots and histograms | | Western Blot | Protein expression bands | ## Usage ```bash python scripts/main.py --input <image_path> --type <chart_type> [--output <output_path>] ``` ### Parameters | Parameter | Required | Description | |-----------|----------|-------------| | `--input` | Yes | Path to chart image | | `--type` | Yes | Chart type (bar/line/scatter/box/heatmap/microscopy/flow/western) | | `--output` | No | Output path for legend text (default: stdout) | | `--format` | No | Output format (text/markdown/latex), default: markdown | | `--language` | No | Language (en/zh), default: en | ### Examples ```bash # Generate legend for bar chart python scripts/main.py --input figure1.png --type bar # Save to file python scripts/main.py --input plot.jpg --type line --output legend.md # Chinese output python scripts/main.py --image.png --type scatter --language zh ``` ## Legend Structure Generated legends follow academic standards: 1. **Figure Number** - Sequential numbering 2. **Brief Title** - Concise description 3. **Main Description** - What the figure shows 4. **Data Details** - Key statistics/measurements 5. **Methodology** - Brief experimental context 6. **Statistics** - P-values, significance markers 7. **Scale Bars** - For microscopy images ## Technical Notes - **Difficulty**: Low - **Dependencies**: PIL, pytesseract (optional OCR) - **Processing**: Vision analysis for chart type detection - **Output**: Structured markdown by default...
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