Generate publication-quality scientific figures using matplotlib/seaborn with a three-phase pipeline (query expansion, code generation with execution, VLM visual feedback). Handles bar charts, line plots, heatmaps, training curves, ablation plots, and more. Use when the user needs figures, plots, or

Scientific Figure Generation Generate publication quality figures for research papers. Input $0 — Description of the desired figure $1 — (Optional) Path to data file (CSV, JSON, NPY, PKL) or results directory Scripts Generate figure template Available types: bar , training curve , heatmap , ablation , line , scatter , radar , violin , tsne , attention Three Phase Pipeline (from MatPlotAgent) Phase 1: Query Expansion Expand the user's figure description into step by step coding specifications using the prompts in references/figure prompts.md . Determine: figure type, data mapping (x/y/color/hue), style requirements, paper conventions. Phase 2: Code Generation with Execution Loop (up to 4 retries) 1. Generate a self contained Python script using the template from scripts/figure template.py as a starting point 2. Write script to a temp file and execute: python figure script.py 3. If error: capture traceback, feed back, regenerate (see ERROR PROMPT in references) 4. If no .png produced: add explicit save instruction, retry 5. On success: report the generated figure path Phase 3: Visual Refinement Read the generated PNG file and visually inspect using the VLM feedback prompts from references/figure prompts.md : Does the figure type match the request? Are labels, titles, and legends correct? Is the color scheme appropriate and consistent? Are axis scales sensible? Is text readable at publication size? If improvements needed: generate corrective instructions and re execute. References All MatPlotAgent prompts: ~/.claude/skills/figure generation/references/figure prompts.md Figure templates: ~/.claude/skills/figure generation/scripts/figure template.py Output Both PNG (preview, 300 DPI) and PDF (vector, for paper) formats. Plus the LaTeX include code: Quality Requirements DPI ≥ 300, or vector PDF Colorblind friendly palette (no red green only) All text ≥ 8pt at print size Consistent styling across all paper figures No matplotlib default title — use LaTeX caption Related Skills Upstream: [data analysis](../data analysis/), [experiment code](../experiment code/) Downstream: [paper writing section](../paper writing section/), [paper compilation](../paper compilation/), [slide generation](../slide generation/) See also: [table generation](../table generation/)

figure-generation