What is this?
A skill for AI agents that handles Problem C of CUMCM, China's national undergraduate math-modeling contest: a full modeling-and-paper production workflow distilled from 2018–2025 official C-problem papers, expert commentary and grading standards.
So what do I actually get — an app, or files for my AI agent?
Not an app — a skill package your coding agent loads: SKILL.md holds the main workflow, references/ holds eight years of C-problem patterns, expert commentary summaries, a model toolbox, paper structure and checklists, plus a LaTeX template and automation scripts.
How do I start using it during a contest?
Point your AI agent at the repo's SKILL.md, which is the main C-problem workflow. Its scripts/ then initialize your paper project and auto-check structure, page count, figures and LaTeX as you write.
Do I need LaTeX or anything else installed to use it?
Yes, a LaTeX toolchain — the paper is built strictly on the 'cumcmthesis' template system with automated LaTeX checks. Beyond that you need an AI agent that can load skills; no other dependencies are listed.
Can I use it for problems A or B too, or only C?
Only C, by design: the workflow is distilled from 2018–2025 official C-problem papers, commentary and grading standards and deliberately does not generalize to A/B-style problems.
Does it ship the original prize-winning papers and expert slides it studied?
No. Those official pages are marked 'no reposting/downloading without permission', so the repo keeps only an index to the official sources (references/source-index.md) plus its own original method summaries; check that index if you need the originals.
Is it tied to one specific AI agent?
The README does not name a specific agent — it follows the SKILL.md skill format that coding agents load, so any agent that supports skills should be able to run the workflow.
What are similar projects?
MathModel, modex-mh-agent, sktime, cumcm-step-review, timeseries-atlas, mlcourse.ai, codex-claude-academic-skills, libpku
Which topics is it in?
forecasting, tex, latex, students, mathematics, statistics, data-analysis, optimization, paper, template, visualization, evaluation