multipanellisted

Assemble multiple plots into ONE publication-ready multi-panel journal figure (e.g. Figure 1 with panels A, B, C). Use whenever the user asks to combine, compose, or lay out several plots as a single composite figure — newly plotted from data or from already-rendered panels the user supplies (PNG/PDF). Ask the user to pick one of two approaches: (1) redraw every panel into one unified figure using independent, tightly packed `subfigures` (each sized to its own labels, so axes need NOT align), consistent style, correctly placed panel letters, and per-panel legends/colorbars; (2) composite already-rendered PNG/PDF panels onto a mosaic canvas and add panel letters (image compositing, not plotting). Both export vector PDF + high-DPI PNG. For a SINGLE plot from a data table, use the sibling `omics-plotting` skill instead.
jaechang-hits/SciAgent-Skills · ★ 367 · AI & Automation · score 81

Install: claude install-skill jaechang-hits/SciAgent-Skills

# multipanel ## Overview A multi-panel figure is **one** figure, built one of two ways depending on what you have: - **Option 1 — redraw every panel** (you have the data or plotting code): draw each data panel with a python script into its **own `subfigure`** so it packs to its own labels — no empty bands, and axes need NOT align across the grid. Follow the discipline below so legends stay inside their panels, panel letters sit at each panel's own top-left, and text never overlaps. - **Option 2 — composite finished images** (you only have rendered PNG/PDF panels): paste them onto a `plt.subplot_mosaic` canvas — fine here, since images carry no tick labels to misalign — add panel letters, and export. A mix is allowed: if one or two panels are image-only (no data/code), `imshow` them onto their own subfigure axes and redraw the rest into the same figure. Both modes export a vector PDF and a high-DPI PNG. **Always export the individual panels AND the composite.** Every run outputs both: one standalone figure per panel (`figure1A.png`, `figure1B.png`, …) and the combined figure (`combined_figure1.pdf` + `.png`) — not just the composite. Because a matplotlib `subfigure` cannot be saved on its own, factor every data panel's plotting body into a `draw_<letter>(ax)` function (option 1); the same function then draws onto the composite's subfigure axis AND onto a fresh standalone figure, so the panels stay identical across both outputs with no duplicated drawing code.