NPX Skills Add
Last commit on February 19, 2026·Created on February 18, 2026
caylent/tufte-data-viz
“Applies Tufte's visual discipline to every chart your code makes.”
Combined rank
#417
across all skills
In Data
#10
category rank
Stars
195
+2.6% in last 7d
Forks
7
0.0% in last 7d
Watchers
1
0.0% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
Description
This skill translates Edward Tufte's principles—data-ink ratio, direct labeling, range-frame axes—into enforceable rules for chart code. Developers working with Recharts, ECharts, Chart.js, matplotlib, or SVG get consistent, accessible visualizations without fighting library defaults. It also catches anti-patterns: legends, 3D effects, dual y-axes, and pie charts that should be bars.
WHO IT'S FOR
Data Journalists and Reporters
creating honest, high-data-ink charts for articles
Data Scientists and Analysts
generating publication-quality plots from Python or R
Frontend Dashboard Developers
implementing clean, accessible charts in React or JS
Technical Writers and Documentation Engineers
producing clear, honest data visualizations for docs
30 Days of GitHub Stars
+15 stars↑ 8.3% monthly change
Jul 7Jul 14Jul 21Jul 28Aug 5
Compatibility & Install1 Skill · 1 Compatible agent · 2 categories · 1 install path
Compatible agents
❯Claude Code
Categories
DataDesign
Install via
Repository instructions
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