mathmodel-figure-templates

name mathmodel-figure-templates description 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. allowed-tools Bash(*), Read, Write, Edit, Grep, Glob 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: 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: 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.