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Nature Figure Creator

Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including multi-panel plots, journal-ready SVG/PDF/TIFF outputs.

What is Nature Figure Creator?

This skill enables the creation, revision, auditing, and export of publication-ready scientific figures tailored for high-impact journals like Nature. It supports two primary backends: Python (matplotlib/seaborn) and R (ggplot2/patchwork/ComplexHeatmap), allowing for multi-panel plots and journal-compliant vector or raster outputs. Before plotting, the skill requires the user to define the conclusion, evidence logic, data integrity, template compatibility, export specifications, and potential reviewer risks. For graphical abstracts, mechanism diagrams, or concept schematics—where explicit AI-generated imagery is desired—the skill provides a separate route via OpenRouter GPT Image 2, which skips backend selection and treats outputs as drafts. This skill is not suitable for interactive dashboards, pure statistical analysis, data cleaning, literature review, code debugging, photo editing, or infographics that lack a manuscript-figure intent.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/szzjayson25-hub/nature-academic-skills/tree/main/nature-figure

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What does Nature Figure Creator do?

Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including multi-panel plots, figures4papers-style work, and journal-ready SVG/PDF/TIFF outputs. Use for paper or scientific plots, manuscript data visualization, 论文配图、学术写作配图、科研绘图、科研作图、画图、作图、出图、论文图表、可视化. Define the conclusion, evidence logic, data integrity, template compatibility, export needs, and reviewer risks before plotting; honor or persist the Python/R backend choice. Also use the separate OpenRouter GPT Image 2 route for explicit AI-generated graphical abstracts, mechanism diagrams, concept schematics, 论文示意图、机制示意图、图形摘要; this route skips backend choice and treats outputs as drafts. Do not use for interactive dashboards, statistics-only analysis, data cleaning, literature review, code debugging, pure photo editing, or Illustrator/Figma-first infographics without manuscript-figure intent.

Individual skills in this repo

This repo contains 2 individual skills — each has its own dedicated page.

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