A three-stage pipeline for math modeling competitions that walks you through analysis, coding, and paper writing with distinct role-based workflows. You get algorithm reference docs covering everything from optimization to machine learning, quality checklists at each stage, and tooling for docx/pdf/xlsx handling. The real structure here is the handoff between phases: modeling analysis produces term tables and model selections, coding implements those models with SCI-grade visualizations, and paper writing pulls it all together into competition-ready documents. Built for CUMCM and MCM/ICM contests with sample winning papers included. The role guides are detailed enough that you're not guessing what "good" looks like, and the visualization contract prevents the usual matplotlib disasters. If you're doing any serious modeling competition work, this gives you scaffolding instead of starting from scratch each time.
npx -y skills add xiaomacoltai/math-modeling-skill --skill math-modeling --agent claude-codeInstalls into .claude/skills of the current project.
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juliusbrussee/caveman
mattpocock/skills
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obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills