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Cumcm Paper Hand Skill

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Mr-potato-123
cumcm-paper-hand-skill

数学建模竞赛(CUMCM 国赛 / MCM/ICM 美赛)建模分析与论文写作技能。在参赛者整理好的参赛文件夹(题目/、问题X/建模笔记.md、代码/、结果/)中完成建模、求解与论文撰写,最终以 LaTeX 交付(论文.tex + 编译 PDF)。Use when 用户提到"数学建模"、"建模比赛"、"数模论文"、"数学建模竞赛"、"建模分析"、"建模求解"、"写数模论文"、"帮我做这道建模题"、"帮我写论文"、"优秀论文参考"、"论文写作指导"或类似表述。

Overview

PublisherMr-potato-123
Repositorycumcm-paper-hand-skill
Skill namecumcm-paper-hand-skill
Stars
213
Forks
8
Bundled files
18
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 18 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Mr-potato-123 on GitHub. Read the source before you install it.

Installation

Install the Cumcm Paper Hand Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Mr-potato-123/cumcm-paper-hand-skill/tree/main/skills/cumcm-paper-hand-skill
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Mr-potato-123/cumcm-paper-hand-skill.git /tmp/cumcm-paper-hand-skill
mkdir -p .claude/skills
cp -r /tmp/cumcm-paper-hand-skill/skills/cumcm-paper-hand-skill .claude/skills/cumcm-paper-hand-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cumcm Paper Hand Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cumcm Paper Hand Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cumcm Paper Hand Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

数学建模竞赛论文写作技能

在参赛文件夹内三步工作:摸底 → 核对材料 → 写论文(LaTeX 交付)。

When to Use / When NOT to Use

  • Use when:用户要在参赛文件夹中建模、求解或撰写数模论文,或要求参考获奖论文(ref/ 内置)学习论文写法。
  • NOT use when:用户只需要算法概念解释或通用数学知识问答;用户明确指定使用其他建模 skill。

输入:参赛文件夹结构

参赛者把原始题目、每题的建模和解答分文件夹整理,结构见 templates/目录结构模板.md;未整理时按该模板补齐或按现有文件归拢。要点:

  • 题目/:原始题目与附件,只读,不得修改;
  • 问题X/建模笔记.md + 代码/ + 结果/:本题建模过程与产物,论文素材来源;
  • 论文/:输出 论文.tex、论文.pdf、附图。

工作流程

Step 1 摸底

  1. 读取 README.md 与文件夹结构,列出全部题目、数据、已有笔记。
  2. 读取 题目/ 原始题目,逐问标注:研究对象、已知条件、核心矛盾、每问任务。
  3. 检查每题 建模笔记.md,缺失的先补齐。
  4. 浏览 ref/README.md,选定与本题类型相近的 1–2 篇参考论文。

出口标准:题目逐问理解完毕,每题有笔记或补齐方案,参考论文已选定。

Step 2 核对建模与求解材料

已存在的建模/求解,不得重新建模或重新求解——直接采用。逐题检查:

  1. 有完整 建模笔记.md + 结果/ → 直接采用,进 Step 3。
  2. 有代码与结果、笔记缺失 → 只补齐笔记(记录已有事实),进 Step 3。
  3. 有笔记、无结果 → 向参赛者确认是否补求解;补完在交付说明注明"本次新增求解:…"。
  4. 仅当用户明确要求重新建模/求解时,执行 references/建模流程.md 的完整闭环。

出口标准:未做任何未经说明的建模/求解;下一问输入已明确。

Step 3 撰写论文(LaTeX 交付)

  1. 通读全部笔记与结果,先梳理叙事逻辑:问题二是否使用问题一的模型?问题三是在问题一基础上扩展还是新模型?前一问输出是否成为后一问输入?后一问能否验证前一问合理性?——先梳理再动笔。
  2. 完整读取 references/论文写作规范.md 并逐条执行——骨架、每问闭环、摘要句式、图表、文献、附录等全部写作要求都在其中。
  3. 以 templates/论文模板.tex 为骨架写 论文/论文.tex,骨架固定为:
摘要 → 问题重述 → 问题分析 → 模型假设 → 符号说明 → 模型建立与求解 → 模型评价与推广 → 参考文献 → 附录
  1. XeLaTeX 编译 论文.tex 两次(处理交叉引用),产出 论文.pdf,报错修复到零错误。
  2. 已有草稿则修改完善,不推倒重来。
  3. 对照 references/检查清单.md 逐项核对,结果汇报给参赛者。

出口标准:论文.tex 编译零错误,论文.pdf 交付,检查清单全部通过或已知偏差已说明。

硬性约束(每次遵守)

  1. 不编造:论文中每个数值必须能追溯到 结果/ 或 代码/ 中的文件;找不到来源的结果禁止写入论文。
  2. 不重复劳动:已存在的建模/求解直接采用;补求解必须先确认并说明。
  3. 文献必须真实(细则见 references/论文写作规范.md 第 8 节):WebSearch 逐一核实,禁止编造。
  4. 附录不糊弄(细则见 references/论文写作规范.md 第 9 节):与正文严格对应,不凑数。
  5. 不清楚就问:材料缺失、结果对不上时先问参赛者,不擅自假设。
  6. 先草稿后终稿:先出 Markdown 草稿供确认,再落 LaTeX 终稿与 PDF。
  7. 语言:国赛中文;美赛中文稿定稿后译英文。

脚本与可定制性

  • scripts/ocr_pdfs.py:图片型 PDF → Markdown 可读版。参赛者添加自己的参考论文到 ref/ 时运行(需 Python + rapidocr)。
  • 本技能是"文件即配置":references/、templates/、ref/、scripts/ 中的文件由参赛者维护,内容可能与仓库初始版本不同——以参赛者当前文件夹中的实际内容为准,不要假设默认值。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cumcm Paper Hand Skill AI skill do?

数学建模竞赛(CUMCM 国赛 / MCM/ICM 美赛)建模分析与论文写作技能。在参赛者整理好的参赛文件夹(题目/、问题X/建模笔记.md、代码/、结果/)中完成建模、求解与论文撰写,最终以 LaTeX 交付(论文.tex + 编译 PDF)。Use when 用户提到"数学建模"、"建模比赛"、"数模论文"、"数学建模竞赛"、"建模分析"、"建模求解"、"写数模论文"、"帮我做这道建模题"、"帮我写论文"、"优秀论文参考"、"论文写作指导"或类似表述。

Why use Cumcm Paper Hand Skill on TypingMind?

Because you install it once and use it with any model. Cumcm Paper Hand Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cumcm Paper Hand Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mr-potato-123/cumcm-paper-hand-skill/tree/main/skills/cumcm-paper-hand-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cumcm Paper Hand Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cumcm Paper Hand Skill?

As many as you like. As long as a model supports skills, you can use Cumcm Paper Hand Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cumcm Paper Hand Skill AI skill free?

Yes. It is published on GitHub by Mr-potato-123 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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