Generating Publication-Ready Figures in R

This skill specializes in transforming ordinary ggplot2 plots into professional, publication-ready figures that meet the strict standards of top-tier journals like Nature, Science, Cell, and others.

Use this skill when the user wants to:

• - Convert ggplot plots to journal-style figures
• Apply Nature/Science publication themes to existing plots
• Create multi-panel figures with consistent styling
• Export figures with proper DPI, dimensions, and formats
• Match specific journal submission guidelines
• Create colorblind-safe and publication-quality color schemes

What This Skill Does

When activated, this skill will:

1. 1. Analyze existing ggplot code - Read and understand the current plot structure

1. 2. Apply journal themes - Add publication-quality themes including:

1. 3. Optimize for submission - Ensure figures meet:

1. 4. Create multi-panel figures - Combine plots using:

1. 5. Export properly - Save with correct:

Example User Requests That Should Trigger This Skill

• - "Transform this ggplot to Nature journal style"
• "Make this figure publication-ready for Science"
• "Create a two-column figure matching Cell format"
• "Export these plots at 600 DPI for submission"
• "Apply a colorblind-safe palette to my plots"
• "Combine these four plots into one publication figure"
• "Format my scatter plot for PNAS submission"

Journal Style Guidelines

Nature Style

• - Font: Arial or Helvetica
• Font sizes: Axis titles 7-9 pt, axis labels 6-8 pt
• Single column: 89 mm (3.5 in) width
• Double column: 183 mm (7.2 in) width
• Max height: 234 mm (9.2 in)
• Resolution: 300-600 DPI
• Formats: TIFF, PDF, EPS (vector preferred)

Science Style

• - Font: Arial
• Font sizes: Title 9 pt, labels 7 pt
• Single column: 57 mm (2.25 in) width
• Double column: 114 mm (4.5 in) width
• Resolution: 300-600 DPI
• Formats: TIFF, PDF, EPS

Cell Press Style

• - Font: Arial or Helvetica
• Single column: 85 mm (3.3 in) width
• Double column: 178 mm (7 in) width
• Resolution: 300 DPI minimum
• Formats: TIFF, EPS, PDF

Theme Templates Available

theme_nature()

• - No gray backgrounds
• Minimal grid lines
• Arial font family
• Proper axis sizing

theme_science()

• - Compact layout
• Clean typography
• Optimized for smaller widths

theme_cellpress()

• - Professional appearance
• Flexible legend placement
• Publication-ready defaults

theme_colorblind()

• - Viridis/Colorbrewer schemes
• High contrast ratios
• Print-friendly colors

Color Palettes

Nature-Approved Colors

Colorblind-Safe Scales

• - INLINECODE6
• INLINECODE7 (Okabe-Ito palette)
• INLINECODE8

Example Workflow

User: Here's my ggplot code, make it Nature-style.

CODEBLOCK1

Skill transforms to:

CODEBLOCK2

Multi-Panel Figures

CODEBLOCK3

Tools & Packages Commonly Used

Common Journal Requirements

Quick Reference

Applying a theme

Export formats

Common fixes

• - Text too small: Increase base_size in theme
• Legend overlap: Use INLINECODE10
• Colors not distinct: Use INLINECODE11
• Fonts not rendering: Use INLINECODE12

Notes

• - Always check specific journal guidelines before submission
• Vector formats (PDF/EPS) are preferred over raster
• Use consistent styling across all figures in a paper
• Test colorblind accessibility with colorblindr package
• Keep axis labels clear and concise
• Avoid redundant chart junk (backgrounds, grid lines)