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scientific-visualization · davila7 — Claude Code skill: plots, install

Build publication-ready scientific figures with multi-panel layouts, error bars, accessible colors, and exports for journal workflows.

Install into Claude Code · claude-code-templates All methods and platforms ↓ 
npx claude-code-templates@latest --skill scientific/scientific-visualization
Open on GitHub

What scientific-visualization does

This skill guides scientific plotting with matplotlib, seaborn, and plotly. It covers multi-panel figures, error bars, significance markers, colorblind-safe palettes, grayscale checks, and styling for manuscript figures. The examples also show how to include units and keep panel formatting consistent.

The package includes style_presets.py, figure_export.py, journal style files in assets/, and reference material for publication requirements. It can apply settings for Nature, Science, and Cell, check figure dimensions, and save outputs in formats such as PDF, EPS, TIFF, SVG, and PNG. JPEG is discouraged for scientific data, while vector output is preferred for line art.

What it helps with

  • assemble a multi-panel figure for a manuscript
  • add error bars and significance markers
  • apply a colorblind-safe palette
  • check a figure against journal dimensions
  • export a plot as PDF or EPS

Example prompts for the agent

  • Create a manuscript figure from results.csv with two panels and error bars.
  • Configure this figure for Nature, check its dimensions, and export it as PDF and TIFF.
  • Replace the current colors with an accessible palette and test the figure in grayscale.

How to install scientific-visualization

1claude-code-templates

npx claude-code-templates@latest --skill scientific/scientific-visualization

2Skills CLI (Vercel)

npx skills add davila7/claude-code-templates --skill scientific-visualization -a claude-code

3Manually: put the files in place

~/.claude/skills/scientific-visualization/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/scientific-visualization/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about scientific-visualization

How do I install scientific-visualization in Claude Code?

Run npx claude-code-templates@latest --skill scientific/scientific-visualization.

What does scientific-visualization do?

It helps create scientific figures for manuscripts, including multi-panel layouts, error bars, significance markers, accessible palettes, journal sizing, and publication-oriented exports.

Which export formats does the skill support?

The material covers PDF, EPS, TIFF, SVG, and PNG output. PDF, EPS, or SVG are preferred for line art, while JPEG is discouraged for scientific data.

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