Seaborn statistical visualization library reference. High-level Python plotting on Matplotlib. Covers scatter, line, histogram, KDE, box, violin, bar, heatmap, pairplot, regression, FacetGrid, themes, color palettes, and publication-quality export.
Scanned 9/7/2026
Install to Claude Code
npx -y skills add bytesagain/ai-skills --skill seaborn --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Seaborn?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/bytesagain-seaborn)More formats (shields.io, HTML) on the badges page.
---
name: seaborn
version: 1.0.0
description: >
Seaborn statistical visualization library reference. High-level
Python plotting on Matplotlib. Covers scatter, line, histogram,
KDE, box, violin, bar, heatmap, pairplot, regression, FacetGrid,
themes, color palettes, and publication-quality export.
author: BytesAgain
homepage: https://bytesagain.com
source: https://github.com/bytesagain/ai-skills
tags: [seaborn, python, visualization, statistics, plotting, data-viz]
---
# Seaborn Reference
Statistical data visualization.
## Commands
| Command | Description |
|---------|-------------|
| `intro` | Overview, matplotlib comparison |
| `plots` | All plot types |
| `styling` | Themes, palettes, FacetGrid |
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!