Evidence-driven mathematical modeling contest workflow for Claude Code: decompose a problem, select baseline/primary/fallback model routes, validate PoCs, run reproducible Python/AMPL experiments, freeze results, write LaTeX or Typst papers, render, and audit every claim. Use for CUMCM, MCM/ICM, HiMCM, and similar contests; not for casual homework or one-off coding questions.
安装
尚未确认此技能的独立目录。下面命令会打开仓库技能选择器，请按上游说明选择技能。
skills CLI
npx skills add chengyike20110519-create/MathModelRun