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Data Viz 2025

erichowens/some_claude_skills

This is the kitchen sink for modern data visualization in React, and it actually has opinions worth following. You get a guided tour through Recharts, Nivo, Visx, and D3 with a clear decision tree for which to use when, plus animation patterns with Framer Motion and a Tufte checklist to prevent you from shipping chart junk. The NYT Graphics workflow section is particularly solid: make 500 charts, pick the best one, annotate with insight instead of description. It pairs well with the color contrast auditor since accessible charts need more than pretty gradients. Best for production dashboards and data stories where you care about both aesthetics and integrity, not for quick throwaway analysis.

skills.sh installs
198
GitHub stars
113
last updated
Jun 3, 2026
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Install

$ npx -y skills add erichowens/some_claude_skills --skill data-viz-2025 --agent claude-code

Installs into .claude/skills of the current project.

Files

Data Visualization 2025: The Art & Science of Visual Communication

Create visualizations that Seaborn users, Tufte readers, and everyone else will love. Marry NYT Graphics rigor with MoMA aesthetics, Nike energy, and On Kawara precision.

When to Use This Skill

✅ Use for:

  • Building interactive charts, dashboards, and data stories
  • Complex visualizations (chord diagrams, Sankey flows, network graphs)
  • Real-time data displays with animations
  • Mobile-responsive data components
  • Accessible, tested visualizations for production

❌ NOT for:

  • Static PNG/SVG exports without interaction (use design tools)
  • Basic HTML tables (use semantic markup)
  • Print-only graphics (different constraints)
  • Simple icon displays (use icon libraries)

Core Philosophy: The Three Pillars

1. Clarity (Tufte's Data-Ink Ratio)

Every visual element must earn its place. Remove chart junk, maximize signal-to-noise.

2. Beauty (Aesthetic Standards)

Visualizations are art. Use spring physics, thoughtful color, and premium design systems.

3. Truth (Graphical Integrity)

Data representation must be honest. Test rigorously, document assumptions, preserve context.

SKILL.md on GitHub

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Details

Repository
github.com/erichowens/some_claude_skills
First seen
Jun 3, 2026

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