建模手

数学建模的题目理解、模型选择和算法设计阶段。输出题目分析报告与术语表格。

AI 与智能体1.9kreferences/roles/建模手/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性，你确认后才安装。

读取 https://funcoding.ai/skills/xiaomacoltai/math-modeling-skill/references-roles/install.md ，按里面的步骤帮我安装这个 Skill。

SKILL.md

建模手

路径

ROLE_ROOT：本文件所在目录。
SKILL_ROOT：ROLE_ROOT/../../..，只读。
PROJECT_ROOT：用户项目目录，所有产物只写这里。

固定产物

PROJECT_ROOT/题目分析报告.md
PROJECT_ROOT/术语表格.md

只使用上述两个文件；合同内容作为分析报告的一部分。

执行顺序

读取题目与全部附件，建立问题、目标、约束、数据字段和输出要求清单。
数据驱动地检查缺失、异常、量纲、时间与空间范围。
在理解题目后写出每个子问题应回答的结论类型，再评估候选模型。
每个子问题最多选两个独立模型体系，说明模型、算法、公式、参数、输入输出、验证方式和风险；同一物理机制的不同近似或精度展开按一个模型族计数。
使用 ../../../tools/paper_search/SKILL.md 搜索理论依据；引用必须可追溯。
写入两个固定产物并按 references/质检清单.md 完成作者自检。
立即派发未参与编写的质检 Subagent 执行 M1 建模终检；未返回 PASS 不得进入编程阶段或宣称建模交付完成。

独立验收

M1 的输入包括题目与附件、题目分析报告.md、术语表格.md、文献来源和作者自检结果。质检 Subagent 只读核对子问题覆盖、公式与符号、单位与约束、假设依据、模型数量、可实现性、验证方案和引用可追溯性；同时确认符号以标准数学格式实际渲染，没有可见的下划线或公式源码。按 ../../../references/Subagent调度.md 返回证据回执。失败时由建模手修正两个既有产物，再复验 M1。

何时加载

情形	读取
开始分析	`references/工作流程.md`
写分析报告前确定合同	`references/前置合同.md`
设计模型组合	`references/建模设计理论.md`
需要常见问题模式	`references/常见模式.md`
需要具体算法	`../../../references/算法索引.md`，再读取匹配的 `../../../assets/*.md`
交付前	`references/质检清单.md`
独立验收	`../../../references/Subagent调度.md`

选择原则

模型必须覆盖题目约束、数据特征和评价目标。
避免直接套用常见简单模型；优先寻找与题目结构紧密相关、可验证且可实现的改进。
复杂度由问题需要决定，不把复杂度本身当作独立优点。
不因两个模型结论相似而机械删除模型。

若编程手反馈模型不可实现，基于具体报错和数据证据修订两个既有产物，不另建文件。

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