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.
Profile →npx skills add sickn33/agentic-awesome-skills --skill seaborn --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Seaborn Statistical Visualization ## 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. ## Overview 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. ## Design Philosophy Seaborn follows these core principles: 1. **Dataset-oriented**: Work directly with DataFrames and named variables rather than abstract coordinates 2. **Semantic mapping**: Automatically translate data values into visual properties (colors, sizes, styles) 3. **Statistical awareness**: Built-in aggregation, error estimation, and confidence intervals 4. **Aesthetic defaults**: Publication-ready themes and color palettes out of the box 5. **Matplotlib integration**: Full compatibility with matplotlib customization when needed ## Quick Start ```python import seaborn as sns imp
- When to Use
- Overview
- Design Philosophy
- Quick Start
- Core Plotting Interfaces
- Function Interface (Traditional)
- Objects Interface (Modern)
- Plotting Functions by Category
- Relational Plots (Relationships Between Variables)
- Distribution Plots (Single and Bivariate Distributions)
- Categorical Plots (Comparisons Across Categories)
- Regression Plots (Linear Relationships)
- Matrix Plots (Rectangular Data)
- Multi-Plot Grids
What does the seaborn skill do?
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.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill seaborn --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.