scientific-visualization
Description
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
How to Use
- Visit the GitHub repository to get the SKILL.md file
- Copy the file to your project root or .cursor/rules directory
- Restart your AI assistant or editor to apply the new skill
Tags
About scientific-visualization
scientific-visualization is an AI skill in the ml-data category, designed to help developers and users work more effectively with AI tools. Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
This skill has earned 2,800 stars on GitHub, reflecting strong community adoption and trust. It is compatible with claude.
Key Capabilities
Why Use scientific-visualization
Adding scientific-visualization to your AI workflow can significantly enhance your productivity in ml-data tasks. With pre-defined prompt templates and best practices, this skill helps AI assistants better understand your requirements and deliver more accurate responses.
Whether you use claude, you can easily integrate this skill into your existing development environment.
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