Skill · Science
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.
How to use it
- Start your plan and connect your AI once
- Add the skill to your AI, one time only: press Copy skill and paste it into your AI's instructions: a project in ChatGPT, Claude or Grok, a Gem in Gemini, an agent in Microsoft 365 Copilot, or a rule in Cursor. It stays there for every new chat. In Kimi, paste it at the start of a new chat.
- Ask for the task in your own words, or say it directly:
Use the Seaborn skill to help me with this.SKILL.md2 files in this skill
Seaborn Statistical Visualization
Detailed Guide
Read [the detailed guide](references/detailed-guide.md) 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.