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bio-data-visualization-multipanel-figures

Community

Publish publication-ready multi-panel figures.

Data & Analytics#visualization#ggplot2#publication-figures#gridspec#multipanel#patchwork#cowplot
Authorya-way
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Combining multiple plots from R (patchwork/cowplot) or Python (GridSpec) into a single publication-ready figure can be tedious, requiring careful alignment, consistent styling, and unified legends. This Skill streamlines the process by providing guidance and patterns to assemble panels, label them clearly, and export high-quality figures ready for journals.

Core Features & Use Cases

  • Cross-language layout orchestration using patchwork, cowplot, and matplotlib GridSpec to assemble panels.
  • Support for common publication layouts (2x2 grids, spanning panels, insets) with shared legends and panel labels.
  • Export options for high-resolution figures (PDF/PNG) suitable for manuscript submission; include examples for typical biology workflows.

Quick Start

Tell your AI to assemble a 2x2 panel figure from four individual plots with a shared legend.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: bio-data-visualization-multipanel-figures
Download link: https://github.com/ya-way/cytoclaw-skills/archive/main.zip#bio-data-visualization-multipanel-figures

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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