scientific-visualization
CommunityPublication-ready figures with color-safe styling.
AuthorLin-Hi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Transform data into publication-ready figures with consistent styling and journal-compliant layouts, reducing manual formatting and iteration time.
Core Features & Use Cases
- Multi-panel figure assembly and layout management that adapts to single or double-column formats
- Colorblind-safe palettes, typography conventions, and publisher-style integration across Matplotlib, Seaborn, and Plotly
- Export to vector and raster formats (PDF, EPS, TIFF, PNG), with font embedding and DPI control tuned for various journals (Nature, Science, Cell)
Quick Start
Create a sample figure using the included style presets and export it to publication-ready formats.
Dependency Matrix
Required Modules
matplotlib
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-visualization Download link: https://github.com/Lin-Hi/DeepRead/archive/main.zip#scientific-visualization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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