Updated 1w ago
by yushui2022
MathModel-Skill
Agent-native mathematical modeling workflow skills for Trae, Claude Code, and Codex, covering problem parsing, modeling, code generation, evidence checks, paper writing, and Word delivery.
457 GitHub stars (457)
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- 11 skills (11 skills found in its SKILL.md files)
- 30 forks (30 forks)
- 1w ago last update (Last updated 1w ago)
Install
Skills CLI
npx skills add yushui2022/MathModel-Skill
Asks which skills and agents to install. Just one: npx skills add yushui2022/MathModel-Skill --skill 'MathModel Skill Standard' — add -g for every project.
Claude Code
git clone https://github.com/yushui2022/MathModel-Skillcp -r "MathModel-Skill/store" ~/.claude/skills/
Copies the MathModel Skill Standard skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add yushui2022/MathModel-Skill
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
-
MathModel Skill Standard
数学建模全流程技能包：赛题与附件预检、题意与模型路线、数据与图表计划、真实运行建模代码、证据门禁、分章节正式写作与 Word/PDF 渲染检查，产出可复现的竞赛论文和全套证据。当用户要做完整篇数学建模竞赛论文时使用。
store/SKILL.md on GitHub (opens in a new tab) -
authoritative-data-harvester
定位并获取权威公开数据，优先使用官方 API 与批量下载，产出可复现的抓取代码、来源与许可说明、校验记录。当赛题未提供附件、需要用人口或经济或气象或交通等官方统计补齐数据，或用户要求从权威来源取数时使用。
skills/authoritative-data-harvester/ on GitHub (opens in a new tab)SKILL.md -
context-memory-keeper
维护跨会话的项目记忆，记录长期规则与当前任务清单，供后续阶段恢复上下文。当长对话需要压缩、已确认的决策与约束需要落盘、或用户要求记住或恢复之前进展时使用。
skills/context-memory-keeper/ on GitHub (opens in a new tab)SKILL.md -
data-cleaning-and-visualization
清洗原始数据并生成论文级图表，处理缺失值、异常值、单位与格式不一致，产出加载报告、数据计划、图表索引、可复现的图文件与图注。当用户提供 csv 或 xlsx 原始附件需要清洗、需要为某一问画图或补图注、或数据与可视化计划待执行时使用。
skills/data-cleaning-and-visualization/ on GitHub (opens in a new tab)SKILL.md -
model-code-and-result-generator
按已确定的模型路线为每一问生成可运行代码，并沉淀结果证据契约、评价指标、结构化结论与论文表格。当模型路线已定、需要编写并真实运行各问求解代码、或运行结果需要可核验的契约记录时使用。
skills/model-code-and-result-generator/ on GitHub (opens in a new tab)SKILL.md -
modeling-paper-rubric-and-model-selector
按评分点组织论文结构并给出模型路线，产出论文大纲、评分点对齐表与候选模型对照实验方案。当需要在多个候选模型间取舍、需要把评分要求映射成章节结构、或模型路线尚未确定时使用。赛题原文解析由 problem-doc-model-selector 负责。
skills/modeling-paper-rubric-and-model-selector/ on GitHub (opens in a new tab)SKILL.md -
paper-formal-writer
正式论文的唯一撰写路径，制定写作计划、按章节写作与审计、全文统一改写，并生成原生公式 Word 与 PDF 渲染检查。当运行证据已通过校验、需要撰写或续写完整竞赛论文、或需要产出 final_paper.docx 与渲染 PDF 时使用。
skills/paper-formal-writer/ on GitHub (opens in a new tab)SKILL.md -
paper-micro-unit-generator
按修复队列重写反复不通过的论文章节，或按明确要求生成旧版与演练草稿脚手架。当章节连续审计失败需要局部重写、或用户明确要求快速草稿而非正式论文时使用。
skills/paper-micro-unit-generator/ on GitHub (opens in a new tab)SKILL.md -
paper-workflow-orchestrator
编排完整的数学建模工作流，从赛题与附件出发依次完成输入预检、题意分析、模型路线、数据与图表、代码与真实运行、证据门禁、正式写作与 Word/PDF 检查。当用户要做完整篇数学建模论文、需要从零跑通或从中断处续跑整个流程时使用。
skills/paper-workflow-orchestrator/ on GitHub (opens in a new tab)SKILL.md -
problem-doc-model-selector
解析赛题 PDF 或 Word 或题面文本，抽取每一问的任务、数据条件与约束，并复核公式、图片与分问标题的提取完整性。当用户提供赛题文档、需要先明确题意与分问、或题面提取结果待人工复核时使用。
skills/problem-doc-model-selector/ on GitHub (opens in a new tab)SKILL.md -
quality-assurance-auditor
审计建模证据链与论文质量，检查指标与声明是否绑定、图表是否可读取并对应真实运行、结论是否有证据支撑，产出可追踪的审计报告。当运行证据需要放行判定、章节或全文需要质量复核、或用户要求验收与查漏洞时使用。
skills/quality-assurance-auditor/ on GitHub (opens in a new tab)SKILL.md
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Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.
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