
Math Modeling
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-codeInstalls 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