scientific-visualization
Create publication figures with matplotlib/seaborn/plotly
by davila7Free
Description
scientific-visualization is an agent skill from the davila7 claude-code-templates collection, listed on skills.sh. It creates publication figures with matplotlib, seaborn and plotly. The skill covers multi-panel layouts, error bars, significance markers, colour palettes that are safe for colour-blind readers, and export to PDF, EPS and TIFF for manuscripts. It is written for the requirements of journals such as Nature, Science, Cell and PLOS, including resolution and format. The skill is used when plots are needed for a scientific manuscript, when a figure must meet a journal's guidelines, when a figure needs to be accessible to colour-blind readers, or when a set of figures needs consistent styling across panels. It also covers improving an existing figure to meet publication standards, and making figures that still work in greyscale when a journal prints in black and white. It suits researchers who prepare figures for submission and want the code for them.…
Highlights
- matplotlib, seaborn and plotly figures
- Multi-panel layouts with error bars
- Colour-blind-safe palettes
- Export to PDF, EPS and TIFF
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scientific-visualization FAQ
What does the scientific-visualization skill do?
It produces journal-ready figures with matplotlib, seaborn and plotly, including multi-panel layouts and accessible colours.
How do I install it?
Run: npx skills add https://github.com/davila7/claude-code-templates --skill scientific-visualization
Which file formats can it export?
PDF, EPS and TIFF, for manuscript submission.
Does it work for greyscale printing?
Yes. The skill includes making figures that also work in greyscale.
Has it been checked for security?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
What are the best scientific-visualization alternatives?
Popular alternatives to scientific-visualization include matplotlib, scientific-visualization and seaborn. See all scientific-visualization alternatives