seaborn

v2026.09.24

Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.

GitHub
Install command
npx skhub add sickn33/seaborn
Markdown
SKILL.md

Seaborn Statistical Visualization

Detailed Guide

Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

When to Use

  • You need publication-quality statistical graphics directly from tabular datasets.
  • You are exploring multivariate relationships, distributions, or grouped comparisons with minimal plotting code.
  • You want seaborn's dataset-oriented API and statistical defaults on top of matplotlib.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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Version
Latest version metadata

Version

v2026.09.24

Published

Sep 24, 2026

Category

Uncategorized

License

MIT

Source path

skills/seaborn

Default branch

main

Latest commit

7b534bc

Tree SHA

8d3d722