woodfishhhh

woodfishhhh / EZ_math_model

Public

专攻数学建模的下一代自动化SKIILS

agent-skills claude-code codex cumcm icm
14
0
80% credibility
Found May 22, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
PowerShell
AI Summary

EZ Math Model is a skill package for AI coding assistants that helps students complete mathematical modeling contest problems. You provide a problem statement and data files; the tool then analyzes the problem, selects appropriate mathematical models, writes and executes Python code to solve it, generates charts and tables, produces a complete academic paper in Chinese or English, and packages everything into a submission-ready deliverable. It includes built-in quality checks and uses a multi-agent paper writing subsystem to ensure the final output meets contest standards.

How It Works

1
🔍 You discover the tool

You find EZ Math Model online or hear about it from a classmate who used it for their math contest submission

2
📦 You add it to your AI assistant

You install the skill into your AI coding tool with one simple command, and it sets itself up automatically

3
📝 You drop in your problem and data

You place your contest problem statement and any attachments into the input folder, then tell your AI assistant to begin

4
🤖 You watch it work through everything

Your assistant reads the problem, picks the right mathematical models, writes and runs code, creates charts and tables, and drafts your entire paper

5
✅ Built-in checks verify your work

Quality gates confirm your paper has proper structure, all figures are readable, formulas are correct, and nothing was left behind from templates

🎉 Your completed project is ready

You receive a single package containing your paper in four formats, all your source code, charts, and everything organized neatly for submission

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AI-Generated Review

What is EZ_math_model?

EZ_math_model is a PowerShell-based agent skill that automates the entire mathematical modeling workflow for contest submissions. Drop a problem statement and data files into a folder, invoke the skill in Claude Code or Codex, and get a complete project: Python solvers, result tables, generated figures, and a formatted paper ready for submission. It handles six pipeline stages: problem intake, model selection, code execution, paper writing, quality auditing, and final packaging.

Why is it gaining traction?

The tool tackles the tedious part of math modeling contests that takes weeks: wrestling with file formats, selecting algorithms, writing code, generating plots, and formatting papers. By integrating PaperOrchestra for writing orchestration, it brings academic paper quality gates to contest submissions. The skill system approach means it works within existing AI coding workflows rather than requiring new tooling.

Who should use this?

Graduate students preparing for Chinese math modeling contests (CUMCM, MCM, ICM) and course projects with contest-style requirements. Academic researchers who need to quickly prototype modeling papers from problem statements. Teams that want structured workflows with built-in quality checks before final submission.

Verdict

This is a young project with 14 stars and a credibility score of 0.800000011920929%. The workflow design is solid and the documentation is comprehensive, but it lacks real-world contest results and community validation. Worth trying if you target Chinese math modeling contests and already use Claude Code or Codex, but treat it as an assisted workflow rather than a turnkey solution.

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