math-modeling-skill

A three-stage workflow for mathematical modeling competitions, supporting model analysis, code implementation, and paper writing.

Agent SkillDevOpen source

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Type: Agent Skill
Open source: Yes
GitHub Stars: ★ 1.0k
Source: skill-github
Repository: github.com/XiaoMaColtAI/math-modeling-skill

Overview

Mathematical modeling skills break tasks into three stages: model analysis, code implementation, and paper writing. Supports Python and MATLAB programming, generates result tables and charts, and provides publication-quality scientific visualization. Features a rich algorithm resource library, dual-engine paper search, and Word/LaTeX paper generation. Suitable for students and researchers participating in competitions such as CUMCM, MCM/ICM.

Capabilities

▪Model Analysis: Problem reading, attachment checking, sub-problem decomposition
▪Dual-Language Implementation: Supports Python and MATLAB
▪Complete Output: Generates result tables and charts
▪Publication-Grade Scientific Visualization: Data exploration and chart selection
▪Reproducible Execution: Records random seeds and dependency versions
▪Dual-Engine Paper Search: OpenAlex + AnySearch

Use cases

Model analysis in mathematical modeling competitionsPython/MATLAB code implementationGenerating papers in DOCX or LaTeX formatResearch visualization and data exploration

Setup

Requires: API KeyNode 环境

npx skills add https://github.com/xiaomacoltai/math-modeling-skill --skill math-modeling

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

How to install this skill?

Install via npx command: npx skills add https://github.com/xiaomacoltai/math-modeling-skill --skill math-modeling

What programming languages are supported?

Supports Python and MATLAB.

What paper formats are generated?

Default output is a Word document; LaTeX source project and PDF are also available options.

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