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Seaborn

Skill G1Joshi/Agent-Skills/skills/ai-ml/seaborn

Seaborn statistical data visualization. Use for statistical plots.From its SKILL.md

Install
npx -y skills add G1Joshi/Agent-Skills --skill seaborn

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 12 stars12 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.0 KB, 248 tokens by cl100k_base, as published. Nobody here has run it

Seaborn

Seaborn is a high-level wrapper around Matplotlib. It makes statistical plots (violins, heatmaps, pairs) easy.

When to Use

  • Exploratory Data Analysis (EDA): Quickly understanding distributions.
  • Statistical Relationships: "Show me the regression line with confidence intervals".
  • Pandas Models: Works natively with DataFrames (long-form).

Core Concepts

Objects Interface (so)

New in v0.12+. A grammar-of-graphics style API (like ggplot2) : so.Plot(df, x="time", y="val").add(so.Line()).

Themes

sns.set_theme().

Best Practices (2025)

Do:

  • Use the Objects Interface: For composable, complex plots.
  • Use relplot, displot, catplot: The figure-level functions are more flexible than scatterplot.

Don't:

  • Don't iterate: Seaborn handles "hue" and "col" (faceting) automatically.

References

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

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