This skill empowers researchers and data scientists to create professional, manuscript-quality visualizations that meet the rigorous standards of top-tier journals like Nature, Science, and Cell. It automates the complex process of formatting multi-panel figures, ensuring colorblind accessibility, applying statistical markers, and exporting in high-resolution vector or raster formats such as PDF, EPS, and TIFF. By integrating domain-specific best practices for typography, resolution, and layout, it helps users transform raw data into clear, accurate, and accessible scientific communications ready for peer review.
主な機能
010 GitHub stars
02High-resolution export settings for line art and raster images (300-1200 DPI)
03Automated multi-panel layout generation with consistent styling
04Colorblind-friendly palette enforcement using Okabe-Ito and perceptually uniform maps
05Journal-specific style presets for Nature, Science, Cell, and PLOS
06Built-in statistical rigor tools for error bars and significance markers
