scipilot-figure-skill - Advise and create publication-ready data figures
Analyzes data, recommends suitable chart types, creates publication-ready scientific data figures, and performs visual and format checks.
Tags
Updated: 2026-10-02Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Profile data distributions
- Recommend chart types
- Detect visualization pitfalls
- Configure publication styles
- Create scientific data plots
- Export multiple figure formats
- Audit figure compliance
- Review rendered figure previews
Inputs
- Data files
- DataFrames
- Argument objectives
- Grouping fields
- Target journal
- Statistical test details
Outputs
- Chart recommendations
- Profiling reports
- PNG previews
- Grayscale previews
- PDF figures
- SVG figures
- PNG figures
- Figure audit status
Requirements
- Python environment
- matplotlib 3.7 or later
- seaborn 0.13 or later
- plotly 5.18 or later
- pandas 2.0 or later
- numpy 1.24 or later
- scipy 1.10 or later
- Pillow 10.0 or later
- Read tool for visual review