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XiaoMaColtAIAI-powered workflow for math modeling competitions
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A structured, three-stage workflow skill designed for mathematical modeling competitions (CUMCM, MCM/ICM). It provides a comprehensive system encompassing modeling analysis, code implementation, and paper writing, supported by an extensive algorithm library and advanced visualization tools, aiming to enhance the quality and efficiency of competition submissions.
How It Works
This skill employs a collaborative, role-based approach with three distinct phases: "Modeling Hand" for analysis and design, "Coding Hand" for implementation and visualization, and "Writing Hand" for argumentation and paper composition. It leverages a rich algorithm resource library (60+ algorithms across 7 categories) and emphasizes SCI/Nature-grade visualization through a "Figure Contract" planning system, semantic color palettes, and dual SVG/PNG output. Writing is argument-driven, utilizing "Claim-Evidence" mapping and structured templates, integrated with document processing and academic search tools.
Quick Start & Requirements
git clone https://github.com/XiaoMaColtAI/math-modeling-skill.git and place in the agent's skills directory.npx skills add https://github.com/xiaomacoltai/math-modeling-skill --skill math-modelingpaper_search skill requires an email for OpenAlex and optionally an API key for AnySearch.Highlighted Details
docx, pdf, xlsx processing, and paper_search for academic literature.Maintenance & Community
The project shows active development with significant updates in May 2026. No explicit community links (Discord, Slack, etc.) or contributor/sponsorship details are provided in the README.
Licensing & Compatibility
Limitations & Caveats
AI-generated papers may be detectable; users are strongly advised to use generated content as a reference and revise it significantly with personal insights and style adjustments. The paper_search skill requires configuration (email for OpenAlex, optional API key for AnySearch).
6 days ago
Inactive