math-modeling

Coordinate analysis, coding, and writing tasks for math modeling competitions.

651|34|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/XiaoMaColtAI/math-modeling-skill --skill math-modeling
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: math-modeling
Source: https://github.com/XiaoMaColtAI/math-modeling-skill/tree/main
Command: npx skills add https://github.com/XiaoMaColtAI/math-modeling-skill --skill math-modeling

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) and scripts (resource) components.

What problem does it solve?

This Skill provides a structured end-to-end workflow for math modeling projects, turning problem statements into formal analyses, reproducible code, and publish-ready documentation.

Core Features & Use Cases

  • Three-stage collaboration: Modeling analysis, code implementation, and paper writing with clear handoffs.
  • Asset integration: Uses assets/ references/ and tools/ to support algorithm resources, templates, and literature search.
  • Reproducibility: Encourages versioned artifacts, terminology consistency, and traceable workflows.

Quick Start

Execute the three-stage workflow: analyze the problem, select a model, implement the solution, and draft the final paper with figures and references.

Frequently Asked Questions about math-modeling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure a math modeling project from problem statement to final paper?

To structure a math modeling project, use a three-stage workflow covering modeling analysis, code implementation, and paper writing. This approach turns problem statements into formal analyses, reproducible code, and publish-ready documentation with clear handoffs between each stage.

Can I use this math modeling workflow for competitions like CUMCM and MCM/ICM?

Yes, the math modeling workflow explicitly supports integration with algorithm resources, literature search, and document templates tailored for competitions such as CUMCM and MCM/ICM. It coordinates analysis, coding, and writing tasks specifically for these contest formats.

What is the best way to ensure reproducible results in math modeling code and documentation?

The best way to ensure reproducible results in math modeling is to enforce versioned artifacts, terminology consistency, and traceable workflows. The skill coordinates structured handoffs between analysis, coding, and writing to maintain reproducibility throughout the project lifecycle.

Do I need specific templates and references to start a math modeling workflow?

You need access to algorithm resources, document templates, and literature search tools to start the math modeling workflow. The skill integrates with assets, references, and scripts directories to support these components, enabling seamless progression from problem analysis to final manuscript.

How does the three-stage math modeling workflow handle collaboration between analysis and writing?

The three-stage math modeling workflow handles collaboration by enforcing structured handoffs between modeling analysis, code implementation, and paper writing roles. It coordinates tasks across these stages while maintaining terminology consistency and artifact versioning for reproducible documentation.