Agent skill · Data & Analytics

data-visualization

Design clear, accessible data visualizations with appropriate chart selection and styling.

Owl-Listenergithub.com/Owl-ListenerGitHub ↗
claude-codeMIT
Install
npx skills add Owl-Listener/designer-skills --skill data-visualization --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Path: ui-design/skills/data-visualization/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,964
Language: Markdown
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 - Provide text a

What's inside
Steps it walks through
  1. What You Do
  2. Chart Selection
  3. Comparison
  4. Trend Over Time
  5. Part of Whole
  6. Distribution
  7. Relationship
  8. Design Principles
  9. Color in Data Viz
  10. Accessibility
  11. Responsive Data Viz
  12. Best Practices
More from designer-skills
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About this skill
What does the data-visualization skill do?

Design clear, accessible data visualizations with appropriate chart selection and styling.

How do I install it?

Run `npx skills add Owl-Listener/designer-skills --skill data-visualization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Owl-Listener/designer-skills, a repository with 1,964 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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