XiaoMaColtAI/math-modeling-skill

What XiaoMaColtAI/math-modeling-skill is for

XiaoMaColtAI/math-modeling-skill is an AI agent skill resource for Engineering Development workflows. Based on the archived project material, its core value is: 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 — a GitHub Skill repository verified at commit c13e4c8 with 20 SKILL.md files for development workflows.. This detail page focuses on the practical questions to answer before adopting the skill: what task it solves, how setup works, which README notes matter, where the local Markdown copy is available, and whether the workflow can be adapted for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or an internal AI agent.

README summary

> This is an EasyGlobe-authored bilingual repository brief, not a redistributed third-party Skill and not an installable copy of the repository. Review the upstream repository before use.

README capability notes

| Path | Frontmatter name | Frontmatter description | SHA-256 |

| --- | --- | --- | --- |

| SKILL.md | math-modeling | 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。 | fe5236cfa0f7abe24a05d40775d2d1b7c9adbcce9c5a36c5c6f235377a8637b9 |

| dsh-plugin/math-modeling-agent/skills/math-modeling/SKILL.md | math-modeling | 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。 | fe5236cfa0f7abe24a05d40775d2d1b7c9adbcce9c5a36c5c6f235377a8637b9 |

| dsh-plugin/math-modeling-agent/skills/math-modeling/references/roles/建模手/SKILL.md | 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。 | f629d65875dc9a027f0010b7a207b5cef56a5c9886c71c17e626d1b9182edb49 |...

Workflow fit and practical value

The current taxonomy places XiaoMaColtAI/math-modeling-skill under Engineering Development, with tags such as Development, claude-code, claude-skills, codex, codex-skill, GitHub Skills. That means the skill should be evaluated through the lens of repeatable work: what task it helps an AI agent perform, what context the agent needs, what output a user should expect, and whether the workflow can be reused as a team SOP. The archived README is used as the first source of truth whenever it includes feature lists, examples, setup notes, or usage guidance. The local Markdown download is useful for review, internal documentation, and adapting the instructions into your own agent skills repository.

Installation, usage, and platform notes

No explicit installation section was found in the archived README. Open the original source for the official setup path; the download button provides the local Markdown copy saved by EasyGlobe. Use this skill when the task involves Development, claude-code, claude-skills, codex, codex-skill, GitHub Skills. It can be adapted into Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, or a team SOP. If the README does not include a complete command-by-command setup path, the Skill URL remains the official source for the latest installation instructions. Platform support should be confirmed from the original project, but the information on this page is organized so it can be reused as a reference for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or internal AI agent workflows.

No standalone configuration section was detected in the archive. If the source project requires API keys, account auth, CLI setup, or plugin config, follow the Skill URL.