Does this skill support specific journal formats?

Yes, it includes built-in presets for top-tier journals like Nature, Science, and Cell, automatically handling specific widths, font sizes, and resolution requirements.

Can I export figures in vector formats?

Absolutely. The skill prioritizes vector formats like PDF, EPS, and SVG for lossless scaling, but it also supports high-DPI TIFF and PNG formats for raster-based images.

Are the visualizations accessible to colorblind readers?

Yes, the skill defaults to colorblind-friendly palettes like Okabe-Ito and uses perceptually uniform colormaps for heatmaps to ensure data is interpretable by everyone.

Is it possible to create complex multi-panel figures?

Yes, it provides advanced GridSpec orchestration to align multiple subplots (labeled A, B, C) while maintaining consistent styling and typography across the entire figure.

How does it handle statistical markers?

The skill includes helper functions to add error bars (SEM, SD, or CI) and significance markers (asterisks) directly to your plots based on your statistical analysis.

Scientific Visualization & Journal-Ready Plots

Name: Scientific Visualization & Journal-Ready Plots
Author: youyinnn

byyouyinnn

0•

数据科学与机器学习

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

This skill automates the creation of high-impact, peer-review-ready visualizations by orchestrating Matplotlib, Seaborn, and Plotly with professional academic styling. It simplifies complex requirements such as colorblind-safe palettes (Okabe-Ito), significance markers, error bars, and specific journal dimensioning. Whether you are preparing a single-column plot or a complex multi-panel figure, this skill ensures your data meets the exact resolution and formatting standards of top-tier academic publishers.

主要功能

01Automated multi-panel layout orchestration with bold letter labeling

02Colorblind-accessible palettes and grayscale compatibility testing

030 GitHub stars

04Statistical annotation support including SEM/SD error bars and p-value markers

05Journal-specific styling presets for Nature, Science, Cell, and PLOS

06High-resolution vector export (PDF, EPS) and lossless raster support (TIFF, PNG)

使用场景

01Ensuring figure dimensions and font sizes comply with specific publisher guidelines

02Converting exploratory Seaborn plots into high-resolution, submission-ready visuals

03Preparing multi-panel figures for academic manuscript submissions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add youyinnn/skills-collection scientific-visualization

For use in Claude.ai and ChatGPT

主要功能

01Automated multi-panel layout orchestration with bold letter labeling

02Colorblind-accessible palettes and grayscale compatibility testing

030 GitHub stars

04Statistical annotation support including SEM/SD error bars and p-value markers

05Journal-specific styling presets for Nature, Science, Cell, and PLOS

06High-resolution vector export (PDF, EPS) and lossless raster support (TIFF, PNG)

使用场景

01Ensuring figure dimensions and font sizes comply with specific publisher guidelines

02Converting exploratory Seaborn plots into high-resolution, submission-ready visuals

03Preparing multi-panel figures for academic manuscript submissions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add youyinnn/skills-collection scientific-visualization

For use in Claude.ai and ChatGPT