scientific-visualization
byleonchaox· 59 skills
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
How to install scientific-visualization?
leonchaox/qinyan-academic-skills/scientific-visualization
$npx -y skills add leonchaox/qinyan-academic-skills --skill scientific-visualizationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/leonchaox/qinyan-academic-skills" --skill "leonchaox/qinyan-academic-skills/scientific-visualization"` 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/leonchaox/qinyan-academic-skills" that are relevant to the current task. Run `npx skills add "https://github.com/leonchaox/qinyan-academic-skills"` and select the relevant skills, then follow their instructions.
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