Create publication-quality matplotlib/seaborn charts with readable axes, tight layout, and curated palettes.

Build marker gene alignments and phylogenetic trees.

Cluster proteins into orthogroups and derive pangenome matrices.

Build production-ready Plotly Dash dashboards with consistent theming, clear layouts, and performant callbacks.

Aggregate results, train ML models, and produce reports with validated references.

Evaluate scientific rigor, methods, biases, and evidence quality for claims, papers, and study designs.

notebook-ai-agents-skill

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