mathmodel-skill
SkillMath modeling contest skill for CUMCM, MCM, and ICM competitions with 10-stage workflow, multi-feedback layers, and weighted aggregation.
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git clone https://github.com/handsomeZR-netizen/mathmodel-skillStars
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About
A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.
更常见的情况是:模型已经换了,摘要还没有更新;第二问重新求解后,第三问仍在引用旧结果;某个关键假设只存在于聊天记录里;直到提交前,团队才发现匿名、页数或 AI 使用披露不符合要求。
它不是一个试图一次生成整篇论文的 Prompt,也不是一个替团队做决定的黑盒 Agent。它是一套可执行的建模工作流:将选题、拆题、模型选择、求解、稳健性分析、论文装配和终审组织为 10 个阶段,并用一份共享决策日志保存整个项目的状态。
当比赛持续数十小时、队员交替协作,或者工作从 Codex 切换到 Claude Code 时,项目仍然能够沿着同一条主线继续,而不是重新依赖聊天上下文和个人记忆。
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