seaborn
Helps your agent create charts from data. It's useful for analyzing complex information and presenting results clearly and visually.
What it does
This tool creates beautiful, high-quality statistical charts from your data. It's great for understanding complex relationships in your data with minimal effort.
When to use it
- ✓When you need charts for publications or reports.
- ✓To explore how different variables relate to each other.
- ✓To visually compare groups of data.
Example of what to ask your AI
“Create a bar chart showing average sales by region.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool uses a Python library called Seaborn to generate the charts. It understands your data and automatically creates statistical visualizations.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill seabornOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/seaborn/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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.
FAQ
Do I need to know how to code to use this?
No, you just need to describe the chart you want and provide your data.
What kinds of charts can I create?
You can create various types of statistical charts, such as scatter plots, bar charts, histograms, heatmaps, and more, focused on data analysis.
Do my data need to be in a specific format?
Yes, the tool works best with data organized in a tabular format, like in a CSV file or a Pandas DataFrame.
Details
Original description by the author
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.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4076
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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