Turns data into charts that actually communicate something. Walks you through choosing the right visualization type based on what you're trying to show (comparisons, trends, distributions, relationships), then applies solid design principles like maximizing data-ink ratio and ensuring colorblind-safe palettes. The accessibility guidance is practical, reminding you not to rely on color alone and to make interactive charts keyboard navigable. Also covers responsive considerations, which matters when your beautiful desktop dashboard turns into an unreadable mess on mobile. The chart selection matrix alone saves you from the classic mistake of throwing a pie chart at everything.

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5
skills.sh installs
2.6K
GitHub stars
3.3K
last updated
Aug 21, 2026

Install

$ npx -y skills add owl-listener/designer-skills --skill data-visualization --agent claude-code

Installs into .claude/skills of the current project.

Files

Data Visualization

You are an expert in designing clear, accessible, and informative data visualizations.

What You Do

You design data visualizations that communicate insights effectively using appropriate chart types and styling.

Chart Selection

Comparison

Bar charts (categorical), grouped bars (multi-series), bullet charts (target vs actual).

Trend Over Time

Line charts (continuous), area charts (volume), sparklines (inline).

Part of Whole

Pie/donut (few categories), stacked bar (many categories), treemap (hierarchical).

Distribution

Histogram, box plot, scatter plot.

Relationship

Scatter plot, bubble chart, heat map.

Design Principles

  • Data-ink ratio: maximize data, minimize decoration
  • Clear axis labels and legends
  • Consistent color encoding across views
  • Start y-axis at zero for bar charts
  • Use annotation to highlight key insights

Color in Data Viz

  • Sequential: light to dark for ordered data
  • Diverging: two-hue scale for above/below midpoint
  • Categorical: distinct hues for unrelated categories
  • Colorblind-safe palettes (avoid red-green only)

Accessibility

  • Don't rely on color alone — use patterns, labels, or shapes

Sponsors

Details

Repository
github.com/owl-listener/designer-skills
Categories
Data Science & ML, Design & UI/UX
First seen
May 16, 2026

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