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.
Install
The individual skill folder is not confirmed. This command opens the repository’s skill selector; follow the upstream instructions.
skills CLI
npx skills add chengyike20110519-create/MathModelRun