This is a structured workflow for mathematical modeling competitions like CUMCM and MCM/ICM. It breaks the process into three sequential stages: modeling analysis (pick your math model, document formulas and references), code implementation (write Python or MATLAB solvers, generate SCI-grade visualizations with semantic color palettes), and paper writing (output a proper .docx with integrated docx skill). It comes with algorithm reference docs covering optimization, prediction, evaluation, graph theory, and ML methods, plus sample winning papers and a terminology table system to keep naming consistent across stages. The role-based structure with separate SKILL.md files for each phase keeps context loading manageable. Good for teams that want guard rails around the modeling competition grind.

skills.sh installs
1K
GitHub stars
1.9K
last updated
Aug 21, 2026

Install

$ npx -y skills add xiaomacoltai/math-modeling-skill --skill math-modeling --agent claude-code

Installs into .claude/skills of the current project.

Files

数学建模

本 Skill 用三个独立角色完成数学建模。生成的论文仅供用户参考,不作为可直接提交的作品。论文结构与格式必须以目标竞赛当届官方规则和官方模板为准,不能用往届经验替代官方要求。

使用前:请先阅读根目录 使用指南.md,明确本 Skill 的交付物使用边界,并把它复制到工作区(PROJECT_ROOT):

PowerShell(Windows):

Copy-Item "<SKILL_ROOT>\使用指南.md" "<PROJECT_ROOT>\使用指南.md"

bash(macOS/Linux):

cp "<SKILL_ROOT>/使用指南.md" "<PROJECT_ROOT>/使用指南.md"

<SKILL_ROOT> 是本 Skill 的安装目录(含 SKILL.md 的目录),<PROJECT_ROOT> 是你的题目/项目目录。

强制执行协议

用户明确点名本 Skill 或任务命中本 Skill 时,严格执行以下协议;不要把它降级为建议:

Sponsors

Details

Repository
github.com/xiaomacoltai/math-modeling-skill
Category
AI & Agent Building
First seen
Jun 3, 2026

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