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-figuresskill - Quick exploratory plots → direct code