Agent skill · data analytics · sickn33
seaborn
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.
Why this skill is useful
Provides domain-specific knowledge for statistical visualization techniques and dataset-oriented plotting that the AI wouldn't reliably generate on its own.
What it needs
Requires matplotlib, pandas, seaborn installed locally. About 1k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
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.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/seaborn--f45cae