visualization

Name: visualization
Rating: 5 (7 reviews)
Author: sshtomar

Publication-quality statistical visualization with mandatory best practices. Use when creating plots, charts, figures, or any data visualization. Enforces accessibility, uncertainty display, proper labeling, and statistical accuracy.

7stars

Updated 3 months ago

View on GitHub ↗License: MIT

How to add

/plugin marketplace add sshtomar/claude-code-skills-social-science

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

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<skill_content>

<overview> Visualization is not decoration—it is statistical communication. A well-designed plot reveals patterns that tables cannot, while a poor plot misleads more effectively than wrong numbers. Every visualization is an argument about data, and this skill enforces the standards that make those arguments honest, accessible, and reproducible.

The difference between amateur and professional visualization is not aesthetics but statistical integrity: showing uncertainty, avoidin

[Description truncada. Veja o README completo no GitHub.]

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