数学建模技能 - 面向 CUMCM、MCM/ICM 等数学建模竞赛的三阶段工作流:建模分析、Python/MATLAB 编程与 DOCX 论文生成。包含丰富的算法资源库(优化/预测/评价/图论/机器学习等)、角色指导文档、论文模板和实用工具脚本
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- !No standard license detected
git clone https://github.com/XiaoMaColtAI/math-modeling-skill ~/.claude/skills/math-modeling-skill8 items en este repositorio
当用户要求数学建模、建模竞赛、建模分析、代码求解、结果可视化或生成数学建模论文时使用。支持完整三阶段流程、单独执行任一角色,以及在关键节点使用独立 Subagent 进行阶段内质检;默认只启用质检 Subagent,用户可明确选择额外协作。
Search academic papers via OpenAlex + AnySearch with cross-validation for math modeling references. Invoke when user needs literature search, paper references, or when writing papers requires citations.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Resumen de Skills
Lo que la gente pregunta sobre math-modeling-skill
¿Qué es XiaoMaColtAI/math-modeling-skill?
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XiaoMaColtAI/math-modeling-skill es skills para el ecosistema de Claude AI. 数学建模技能 - 面向 CUMCM、MCM/ICM 等数学建模竞赛的三阶段工作流:建模分析、Python/MATLAB 编程与 DOCX 论文生成。包含丰富的算法资源库(优化/预测/评价/图论/机器学习等)、角色指导文档、论文模板和实用工具脚本 Tiene 1.4k estrellas en GitHub y su última actualización registrada es del 2026-09-10.
¿Cómo se instala math-modeling-skill?
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Puedes instalar math-modeling-skill clonando el repositorio (https://github.com/XiaoMaColtAI/math-modeling-skill) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar XiaoMaColtAI/math-modeling-skill?
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Nuestro agente de seguridad ha analizado XiaoMaColtAI/math-modeling-skill y le ha asignado un Trust Score de 72/100 (tier: OK). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene XiaoMaColtAI/math-modeling-skill?
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XiaoMaColtAI/math-modeling-skill es mantenido por XiaoMaColtAI. La última actividad registrada en GitHub es del 2026-09-10, con 2 issues abiertos.
¿Hay alternativas a math-modeling-skill?
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Sí. En ClaudeWave puedes explorar skills similares en /categories/skills, ordenados por popularidad o actividad reciente.
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