This skill should be used when the user asks to "plot data", "make a plot for a paper", "make a publication plot", "create a journal-quality plot", "matplotlib for a figure", "use seaborn", "use plotnine", "use ggplot in Python", "improve plot quality", "style my plot", "clean up my figure", "my matplotlib plot looks ugly", "apply journal style to existing script", "fix matplotlib defaults", "use SciencePlots", "make a Nature-style plot", "make an IEEE-style plot", "make a paper-ready chart", "which plotting library should I use", or wants guidance on choosing between matplotlib / seaborn / plotnine / plotly / pyvista and applying journal-quality defaults. Produces SVG-output Python scripts whose panels are consumed by the scientific-figure composer.
$npx -y skills add neuromechanist/research-skills --skill plot-stylingInstalls into the current project.
Run `npx skills use "https://github.com/neuromechanist/research-skills" --skill "neuromechanist/research-skills/plot-styling"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/neuromechanist/research-skills" that are relevant to the current task. Run `npx skills add "https://github.com/neuromechanist/research-skills"` and select the relevant skills, then follow their instructions.