figure-pipeline

Installation
SKILL.md

Five-Step Figure Generation Pipeline

Generate publication-quality scientific figures through a structured pipeline with reference retrieval, planning, styling, generation, and self-critique. Inspired by PaperVizAgent's five-agent architecture.

When to Use

  • Multi-panel composite figures (e.g., "Figure 1: A) boxplot, B) KM curve, C) heatmap, D) network")
  • Figures that need to match a specific journal's style
  • Complex visualizations where direct code generation often produces suboptimal layouts
  • User explicitly asks for "publication-quality" or "journal-ready" figures
  • Graphical abstracts

When NOT to use (overkill):

  • Single simple plot → just write matplotlib/ggplot2 code directly
  • Mechanism diagrams → use svg-scientific-figures skill
  • Quick exploratory plots → direct code

Installs
2
GitHub Stars
60
First Seen
Apr 16, 2026