matplotlib-scientific-plotting
byjaechang-hits· 57 skills
Low-level Python plotting for scientific figures: publication-quality line, scatter, bar, heatmap, contour, 3D; multi-panel layouts; fine control of every element. PNG/PDF/SVG export. Use seaborn for quick stats, plotly for interactive.
How to install matplotlib-scientific-plotting?
jaechang-hits/sciagent-skills/matplotlib-scientific-plotting
$npx -y skills add jaechang-hits/sciagent-skills --skill matplotlib-scientific-plottingInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/jaechang-hits/sciagent-skills" --skill "jaechang-hits/sciagent-skills/matplotlib-scientific-plotting"` 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/jaechang-hits/sciagent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/jaechang-hits/sciagent-skills"` and select the relevant skills, then follow their instructions.
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