qianxiao233/mathmodel-assistant/mathmodel-figure-templates

Claude Code and agent skill by qianxiao233/mathmodel-assistant

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科研绘图模板 skill。在辅助模式下特别有用:当用户需要绘制特定类型的科学图表(如配对云雨图、SHAP蜂群图、泰勒图等)时,提供开箱即用的 Python/matplotlib 模板脚本。支持全自主和辅助双模式。

Install

npx vskill@latest install qianxiao233/mathmodel-assistant/mathmodel-figure-templates

SKILL.md

MathModel Figure Templates

辅助模式推荐:本 skill 在辅助模式下尤其有价值——用户可随时要求"帮我用某某模板画个图",无需依赖完整 pipeline。

This skill contains ready-to-run Python/matplotlib scripts for figure templates.

Fast Path

  1. Match the requested chart in references/figure-catalog.md.
  2. From /home/user/workspace, run the renderer with the template id:
bash
python3 /home/user/.claude/skills/mathmodel-figure-templates/scripts/render_template.py paired-raincloud
  1. The renderer copies the bundled template script into 绘图复刻/scripts/, runs it there, and writes outputs to 绘图复刻/outputs/.
  2. Return the generated PNG (and optionally PDF/SVG) paths and the copied script path to the user.

Use --list to show supported ids:

bash
python3 /home/user/.claude/skills/mathmodel-figure-templates/scripts/render_template.py --list

Output Contract

  • Work under the current workspace unless the user gives another path.
  • Default project folder: 绘图复刻.
  • Script path: 绘图复刻/scripts/make_<template>.py.
  • Outputs: 绘图复刻/outputs/<template>_replica.png(优先),可选 .pdf / .svg。
  • Use the bundled scripts as the first choice; edit the copied workspace script only when the user requests customization.
  • The bundled scripts use deterministic simulated data. Do not claim simulated values reproduce a source study exactly.

Template Ids

  • multiclass-shap-combo
  • paired-raincloud
  • cv-roc-ci
  • taylor-diagram
  • correlation-pairgrid
  • prediction-marginal-grid
  • rf-tpe-surface
  • grouped-corr-split-violin
  • grouped-circular-heatmap
  • urban-park-cooling-combo
  • nature-chord-diagram

When Customizing

If the user asks for changes, copy/run the nearest template first, then edit the copied file in 绘图复刻/scripts/. Preserve:

  • MPLCONFIGDIR before importing matplotlib.
  • deterministic seeds for simulated data.
  • PNG export at ≥300 DPI (required); PDF/SVG optional.
  • readable labels, legends, and high-DPI output.

Use references/plot-recipes.md for implementation patterns.

Security

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  • Model reviewPassed

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