Data & ReproData Analysis & VisualizationK-Dense-AI/claude-scientific-skillsData & Reproduction

Scientific Visualization

Maintainer K-Dense Inc. · Last updated March 31, 2026

Scientific visuali.

Claude CodeOpenClawNanoClawAnalysisWritingscientific-visualizationanalysisanalysis & methodologyscientific visualization

Original source

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/scientific-visualization

Maintainer: K-Dense Inc.
License: MIT license
Last updated: March 31, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

Scientific visualization transforms data into clear, accurate figures for publication. Create journal-ready plots with multi-panel layouts, error bars, significance markers, and colorblind-safe palettes. Export as PDF/EPS/TIFF using matplotlib, seaborn, and plotly for manuscripts.
from style_presets import apply_publication_style apply_publication_style('default').

Source Doc

Excerpt From SKILL.md

When to Use This Skill

This skill should be used when:

Creating plots or visualizations for scientific manuscripts
Preparing figures for journal submission (Nature, Science, Cell, PLOS, etc.)
Ensuring figures are colorblind-friendly and accessible
Making multi-panel figures with consistent styling
Exporting figures at correct resolution and format
Following specific publication guidelines
Improving existing figures to meet publication standards
Creating figures that need to work in both color and grayscale

Basic Publication-Quality Figure

import matplotlib.pyplot as plt
import numpy as np

## Create figure with appropriate size (single column = 3.5 inches)

fig, ax = plt.subplots(figsize=(3.5, 2.5))