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data-visualization

@astoreyai/ai_scientist
2
0

Create publication-quality data visualizations. Use when: (1) Presenting results, (2) Exploratory data analysis, (3) Manuscript preparation, (4) Grant proposals, (5) Presentations.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name data-visualization
description Create publication-quality data visualizations. Use when: (1) Presenting results, (2) Exploratory data analysis, (3) Manuscript preparation, (4) Grant proposals, (5) Presentations.
allowed-tools Read, Write, Bash
version 1.0.0

Data Visualization Skill

Purpose

Create clear, publication-ready figures following best practices.

Figure Types by Data

Continuous Outcome:

  • Bar plots (means with error bars)
  • Box plots (distributions)
  • Violin plots (density)

Categorical Data:

  • Bar charts (counts/proportions)
  • Stacked bars (composition)

Relationships:

  • Scatter plots (correlations)
  • Line graphs (time series)

Distributions:

  • Histograms
  • Density plots
  • Q-Q plots (normality)

Best Practices

Design:

  • Clear axis labels with units
  • Legible font sizes (≥10pt)
  • Color-blind friendly palettes
  • Minimal chart junk

Statistics:

  • Show individual data points when N < 50
  • Error bars: 95% CI (not SE or SD)
  • Asterisks for significance with p-value in caption

Format:

  • High resolution (≥300 DPI)
  • Vector format (PDF, SVG) preferred
  • Grayscale-compatible

Version: 1.0.0