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

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: 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: 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.