mathmodel-figure-templates

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Use this skill in the MathModel LaTeX sandbox when the user asks to reproduce built-in scientific visualization templates, especially prompts from the Improve tab mentioning $mathmodel-figure-templates, 科研绘图模板, SHAP蜂群柱状图, 配对云雨图, 交叉验证ROC, 泰勒图, 相关矩阵组合图, 预测真实值边缘分布图, TPE调参3D曲面, 下三角相关矩阵半边小提琴图, 分组环形热图, 城市公园降温组合图, or Nature和弦图. It provides ready-to-run Python scripts bundled inside the skill.

21installs

Sourcejihe520/sci-box

Added on2026-09-11

NPX Install

npx skill4agent add jihe520/sci-box mathmodel-figure-templates

SKILL.md Content

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MathModel Figure Templates

This skill is bundled into the LaTeX sandbox at

/home/user/.claude/skills/mathmodel-figure-templates

. It contains ready-to-run Python/matplotlib scripts for the figure templates exposed in the MathModel Improve tab.

Fast Path

Match the requested chart in
```
references/figure-catalog.md
```
.
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

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/
```
.
Return the generated PNG/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

,

.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/PDF/SVG export.
readable labels, legends, and high-DPI output.

Use

references/plot-recipes.md

for implementation patterns.