What is scientific-figure-assembly?
Assemble multi-panel scientific figures with panel labels (A, B, C) at publication quality (300 DPI) using R. Use when combining individual plots into journal-ready figures. Source: htlin222/dotfiles.
Assemble multi-panel scientific figures with panel labels (A, B, C) at publication quality (300 DPI) using R. Use when combining individual plots into journal-ready figures.
Quickly install scientific-figure-assembly AI skill to your development environment via command line
Source: htlin222/dotfiles.
Create publication-ready multi-panel figures using R packages (patchwork, cowplot) with professional panel labels (A, B, C, D) at 300 DPI resolution.
⚠️ IMPORTANT: This workflow uses R for figure assembly. For meta-analysis projects, all figures should be generated and assembled in R.
I'll create an R script using patchwork or cowplot to assemble the figure with proper spacing and labels.
Assemble multi-panel scientific figures with panel labels (A, B, C) at publication quality (300 DPI) using R. Use when combining individual plots into journal-ready figures. Source: htlin222/dotfiles.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/htlin222/dotfiles --skill scientific-figure-assemblyAssemble multi-panel scientific figures with panel labels (A, B, C) at publication quality (300 DPI) using R. Use when combining individual plots into journal-ready figures. Source: htlin222/dotfiles.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/htlin222/dotfiles --skill scientific-figure-assembly Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/htlin222/dotfiles