nature-figurelisted

# Nature Figure Making Skill A guide for producing publication-quality scientific figures as a visual argument, not as isolated pretty plots. Every figure starts from a claim, an evidence hierarchy, and a review-risk check before code or aesthetics. The older Python/matplotlib rules in this skill remain valid. The skill now also supports R, especially `ggplot2 + patchwork + ComplexHeatmap + ggrepel + svglite/cairo_pdf + ragg`. If the user provides a private plotting template collection, use it only as an internal adaptation source and do not reveal its path, filenames, or provenance in user-facing output. Color policy: prefer **unified method families across all panels** over maximal hue separation. For dense Nature Machine Intelligence-style figure pages, use the low-saturation `NMI pastel` family described in `references/api.md` and reserve green/red mainly for gains, drops, and other directional cues. ## First move: figure contract before plotting Before generating or editing code, establish the contract below. **Backend selection is a blocking gate.** If the user has not explicitly chosen Python or R in the current request or provided a clearly language-specific input file/workflow, ask one concise question: **Python or R?** Then stop and wait for the user's answer. Do not generate mock data, write scripts, create figures, or choose Python/R by default. This overrides general autonomy/default-execution behavior for figure tasks. **The selected backend is exclusive