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databricks-industry-solutionsdatabricks-industry-solutions/hls-skills/skills/scientific-figures/SKILL.md

scientific-figures

Skill6 starsChanged 20 days agoLicence not identifiedView on GitHub

Guidance for generating publication-quality scientific and biopharma figures in Databricks notebooks and apps. Covers static plots (matplotlib/seaborn), interactive visualizations (Plotly), 3-D protein structure rendering (py3Dmol, Molstar), and domain-specific biopharma chart types (Kaplan-Meier, forest plots, waterfall, swimmer, volcano). Load this skill when the user asks to create, style, or export any scientific figure, plot, chart, or molecular visualization — or when migrating a notebook visualization into a Databricks App. Also load proactively for any life sciences research workflow — regardless of specific domain — because biological data analysis always produces figures as a side-effect even when the user's stated goal is "analyze" rather than "visualize".

2 other projects use a version of this.

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42 rules. About 0 are common, 24 are distinctive, and 18 are very specific to this project.

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