millitool
scientific-visualization/

scientific-visualization

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.

scientificvisualization
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---
name: scientific-visualization
description: Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
license: MIT license
metadata:
    skill-author: K-Dense Inc.
---

# Scientific Visualization
How to Use

Recommended: Install to project (local)

mkdir -p .claude/skills
curl -o .claude/skills/scientific-visualization.md \
  https://raw.githubusercontent.com/K-Dense-AI/claude-scientific-skills/main/scientific-skills/scientific-visualization/SKILL.md

Skill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.

Alternative: Clone full repo

git clone https://github.com/K-Dense-AI/claude-scientific-skills

Then reference at scientific-skills/scientific-visualization/SKILL.md

Related Skills

matplotlib
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
matplotlibmatplotlib

by K-Dense-AI · claude-scientific-skills

plotly
Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.
plotlyplotly

by K-Dense-AI · claude-scientific-skills

seaborn
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
seabornseaborn

by K-Dense-AI · claude-scientific-skills

claude-scientific-skills
Scientific research and analysis skills
generalclaudescientificskills

by sickn33 (Antigravity) · antigravity-awesome-skills