What file formats are supported for export?

It supports vector formats (PDF, EPS, SVG) for line art and high-resolution raster formats (TIFF, PNG) for complex images, typically at 300-1200 DPI as required by publishers.

Does this skill support journals other than Nature or Science?

Yes, it includes presets for major publishers like Cell and PLOS, and can be customized to meet any specific journal's resolution, font, and margin requirements.

How does it handle colorblind accessibility?

It implements the Okabe-Ito palette and perceptually uniform colormaps like Viridis by default, ensuring figures remain interpretable for all readers and in grayscale.

Can I use this with Seaborn or just Matplotlib?

The skill orchestrates Matplotlib, Seaborn, and Plotly, allowing you to use Seaborn's high-level statistical functions while maintaining strict publication-grade styling.

Scientific Visualization & Figure Design

Name: Scientific Visualization & Figure Design
Author: Weiwei-Mao

byWeiwei-Mao

Data Science & ML

Generates publication-ready scientific figures and multi-panel layouts following strict journal specifications for Nature, Science, and Cell.

About

This skill streamlines the creation of high-quality scientific visualizations by orchestrating Matplotlib, Seaborn, and Plotly with pre-configured academic styles. It automates complex tasks such as multi-panel grid layouts, colorblind-safe palette selection, and meeting specific resolution/DPI requirements for manuscript submissions. Whether you are preparing a paper for Nature, Science, or PLOS, this skill ensures your data is presented with professional typography, accessibility, and statistical rigor, transforming raw analysis into camera-ready illustrations.

Key Features

Journal-specific styling presets (Nature, Science, Cell, PLOS)
Colorblind-safe palette integration and accessibility testing
Automated multi-panel layout orchestration with GridSpec
0 GitHub stars
Built-in support for statistical markers and error bar formatting
Publication-grade export settings (PDF/EPS/TIFF at 300-1200 DPI)

Use Cases

Preparing complex multi-panel figures for academic journal submissions
Converting exploratory Seaborn plots into high-resolution vector graphics
Standardizing data visualizations across a research team for consistency

About

Key Features

Journal-specific styling presets (Nature, Science, Cell, PLOS)
Colorblind-safe palette integration and accessibility testing
Automated multi-panel layout orchestration with GridSpec
0 GitHub stars
Built-in support for statistical markers and error bar formatting
Publication-grade export settings (PDF/EPS/TIFF at 300-1200 DPI)

Use Cases

Preparing complex multi-panel figures for academic journal submissions
Converting exploratory Seaborn plots into high-resolution vector graphics
Standardizing data visualizations across a research team for consistency