haitanghuaweimianTom

Publication-ready matplotlib figures for Nature/high-impact journals and academic papers. Covers bar charts, grouped bars, heatmaps, line/trend plots, forest plots, microscopy-style image panels, schematic + quantitative composites, radar plots, and multi-panel layouts with Nature-style typography (Arial/sans-serif), restrained color systems, and SVG/PDF export conventions. Use when creating scientific figures that must match Nature publication standards. Do NOT use for interactive dashboards (Plotly, Bokeh) or Illustrator/Figma-first infographic workflows.

Generate exam papers, study guides, review books, and teaching materials from any subject. Extracts and synthesizes user-provided materials, generates transfer-oriented questions, and outputs compact Markdown + PDF via Pandoc + ctexart + xelatex.

Multi-course academic reading notes generator — paper selection, note writing, Nature-style figures, Chinese PDF, and submission packaging