Generate a single biomedical entity as a reusable cutout asset (transparent alpha background, no labels) suitable for compositing into diagrams. Use when the goal is to produce one isolated subject — a cell, vessel, tissue cutaway, signaling cloud — that will later be placed into a scene, rather than rendering a complete figure.
Produce a schematic, illustration, biomedical cartoon, or pure conceptual figure without underlying data. Calls an image model directly with a structured prompt, generates one or more candidates, scores them on basic visual proxies, and saves the best. Use when the goal is "draw / illustrate / diagram / sketch" and no data frame is in scope.
Decide which R visualization engine to use for a figure: ggplot2, grid/grob, base graphics, ComplexHeatmap, circlize, ggraph/DiagrammeR, htmlwidget (plotly/leaflet), or composite (patchwork/cowplot/aplot). Load this skill when the user names a non-ggplot library, when the figure shape suggests a specialized library, or when ggplot would require contortions to reach the intended result.
Produce interactive web visualizations using `plotly`, `leaflet`, `DT`, `networkD3`, or any other `htmlwidgets`-based library. Default output is a self-contained HTML file (always works). Static PNG export is supported when the optional `webshot2` package and a headless Chrome (via `chromote`) are available.
Compose multiple plots into a single figure using `patchwork`, `cowplot`, or `aplot`. Use whenever the user wants more than one panel — labeled multi-panel figures, side-by-side comparisons, A/B/C panels with shared legend, plots stacked over a metadata strip, or any layout that exceeds what a single ggplot's `facet_*` can express.
Lift the visual quality of an existing data figure by redrawing it with an image model that uses the original ggplot as a hard constraint. Preserves data semantics (positions, groups, scales, labels) while improving typography, composition, and surface polish. Use when the user has a working figure but wants it to look like a publication, cover, or polished talk slide.
Produce circular / genomic figures using the `circlize` package — chord diagrams, circular genome browsers with multiple tracks, ideograms, Circos-style multi-track figures, and similar. Use when the figure intent is circular layout or when the user names `circlize`, `circos`, "Circos", "chord diagram", or describes a multi-track circular genomic figure.
Produce annotated heatmaps using the ComplexHeatmap package — matrix expression heatmaps with multi-track row/column annotations, dendrograms, splits, oncoPrint, and HeatmapList combinations. Use when the figure intent is a heatmap with non-trivial annotation, row or column splitting, or multiple stacked heatmaps. ggplot's `geom_tile` does not scale to these requirements.