Which journals are supported by this skill?

The skill includes pre-configured style files for major journals like Nature, Science, and Cell, ensuring your figures meet their specific width, font size, and resolution requirements.

What file formats can I export my figures in?

You can export figures in high-resolution vector formats like PDF, EPS, and SVG for infinite scalability, or raster formats like TIFF and PNG at 300-600 DPI for publication.

How does it handle statistical reporting in plots?

The skill includes patterns for adding error bars (SD, SEM, or CI) and standard significance markers directly onto your visualizations to maintain statistical rigor.

Does it support colorblind-accessible plots?

Yes, the skill enforces the use of colorblind-friendly palettes such as Okabe-Ito and perceptually uniform colormaps like viridis to ensure your data is accessible to all readers.

Can I create complex multi-panel figures?

Absolutely. The skill provides templates using GridSpec for flexible layouts, including automated bold panel labeling (A, B, C) and consistent white-space management.

Scientific Visualization & Plotting

Name: Scientific Visualization & Plotting
Author: plurigrid

byplurigrid

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数据科学与机器学习

Creates journal-ready, publication-quality scientific figures with standardized styling, multi-panel layouts, and colorblind-safe palettes.

This skill empowers researchers and data scientists to generate high-quality visualizations that meet the rigorous standards of top-tier scientific journals like Nature, Science, and Cell. It automates the application of professional styling—including precise font sizing, consistent multi-panel alignment, and perceptually uniform colormaps—while ensuring accessibility through colorblind-safe palettes. By providing specialized configurations for Matplotlib, Seaborn, and Plotly, it streamlines the transition from raw data to export-ready vector formats like PDF and EPS, complete with statistical significance markers and proper error bar representations.

主要功能

01Complex multi-panel figure generation with automated sub-plot labeling

02Automatic colorblind-safe palette application (e.g., Okabe-Ito)

03High-resolution vector export support for PDF, EPS, and TIFF formats

04Journal-specific style presets for Nature, Science, Cell, and PLOS

058 GitHub stars

06Standardized statistical markers for error bars and significance testing

使用场景

01Converting exploratory data analysis into accessible, presentation-grade graphics

02Standardizing visualization styles across large research teams and laboratory projects

03Preparing manuscript figures for submission to peer-reviewed scientific journals

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi scientific-visualization

For use in Claude.ai and ChatGPT

Download Skill