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Data Analysis · Python · Research / AGENT SKILL
mathmodel-figure-templates
0
Reproduce scientific visualization templates using bundled Python scripts.
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.
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Original instructions from the publisher’s SKILL.md
# 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 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 ``` 3. 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/`. 4. 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.