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Hwb Problem Restatement

Community
xieyouxixi
hwb-problem-restatement

Generate a compliant Chinese problem-restatement chapter from a complete HUAWEI Cup problem statement, or review a user's restatement against the original problem. Covers research background, problem review and research overview; does not perform the separate problem-analysis chapter.

Overview

Publisherxieyouxixi
Repositoryhwb-math-modeling-skills
Skill namehwb-problem-restatement
Stars
193
Forks
5
Bundled files
3
Links
  • 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.

  • 3 bundled files

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

  • Open source

    Published by xieyouxixi on GitHub. Read the source before you install it.

Installation

Install the Hwb Problem Restatement 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/xieyouxixi/hwb-math-modeling-skills/tree/main/skills/生成类/hwb-problem-restatement
  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.

Use it in TypingMind

Enable Hwb Problem Restatement 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 Hwb Problem Restatement 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 Hwb Problem Restatement 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.

HWB Problem Restatement

按用户请求在两种模式下工作:

  • 生成模式:用户给出完整赛题,要求写成问题重述章节;
  • 自查模式:用户同时给出完整赛题与已写好的问题重述章节,要求诊断。

不要把问题回顾与独立的问题分析章节混淆。问题重述只说明"题目要我做什么",不选模型、不分析变量关系、不描述算法、不报告结果。

在读 references/restatement-rules.md 之后开始任一模式。自查模式还要读 references/review-checklist.md。

生成模式

以完整赛题为事实来源。保留每一项实质性任务、数字、单位、时间范围、样本量、约束、附件作用与要求的输出形式。重述而非同义词替换。

输出:

markdown
# 1 问题重述

## 1.1 研究背景

【1—3 段,与任务直接相关;研赛题目多来自工程技术与管理科学实际问题,背景段落须点出工程场景】

## 1.2 问题回顾

根据题目提供的数据、条件和任务要求,需要解决以下问题:

(1)【问题一的独立表述】

(2)【继续覆盖全部问题,研赛通常 3—5 问】

## 1.3 研究综述

【总体研究现状、主要方法方向、适用任务、局限与本文可能切入点】

## 待核对事项

- 【歧义、缺少的附件说明或待核验文献;无则写"无"】

研究综述的证据要求

  • 绝不虚构作者、论文、期刊、年份、结论或 URL。
  • 用户提供了已核实文献时,只使用这些来源,除非用户授权另行检索。
  • 具备联网条件且用户要求引用文献时,检索真实的一手或权威来源并引用。
  • 没有已核实文献时,写方法层面的综述,不编造引用,并显式标注 具体文献需要补充并核验。不要让"看起来像引用"的占位符显得真实。

生成的章节通常控制在 1—2 页,其中研究综述约 400—600 字,除非竞赛另有规定。

自查模式

把草稿与原始赛题对照。除用户明确要求外,只诊断不重写。

按以下顺序输出:

  1. 审查结论 — 2—4 句,说明完整性与最高风险;
  2. 问题清单 — Markdown 表:等级 | 位置/原文 | 类型 | 说明 | 评阅影响 | 修改建议;
  3. 题意保持核对 — 任务、条件、数字、单位、约束、附件、输出形式;
  4. 章节边界核对 — 模型、算法、分析、公式或结果是否越界写进了重述;
  5. 研究综述核对 — 相关性、均衡性、证据与虚构引用风险;
  6. 修改优先级 — 三个最高价值的动作;
  7. 待核对事项 — 仅凭现有材料无法确认的条目。

等级使用 严重问题 / 重要问题 / 一般问题 / 优化建议。每个严重或重要问题都要给出位置与具体证据。某一等级没有问题就不要凑。

研赛专属核对项

项要求
问题数量研赛常见 3—5 问,逐问必须独立成段,不得合并
补充说明研赛赛题常有"补充说明""更正说明",其口径优先于主赛题,重述必须反映最新口径
附件说明附件的作用要在重述中点到("基于附件 N 提供的……数据")
命题方若为华为赛题,可在背景中点出工程背景属性,但不得写成"因为要拿华为专项奖所以……"
页数重述通常压在 1—2 页,为后续模型章节留出篇幅

Shared safeguards

  • 不要为了降低文字重复率而改变题意。
  • 原题不完整或附件缺失时,保留确定部分并列出缺口;不要猜测。
  • 文献综述是题目要求的格式组成部分,不构成虚构外部事实的许可。
  • 使用客观的第三人称学术中文。
  • 用户说"检查"或"点评"时,先诊断;只有明确要求时才给改写稿。
  • 竞赛进行中提醒用户:不得就赛题内容与队外任何人讨论。

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 Hwb Problem Restatement AI skill do?

Generate a compliant Chinese problem-restatement chapter from a complete HUAWEI Cup problem statement, or review a user's restatement against the original problem. Covers research background, problem review and research overview; does not perform the separate problem-analysis chapter.

Why use Hwb Problem Restatement on TypingMind?

Because you install it once and use it with any model. Hwb Problem Restatement 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 Hwb Problem Restatement in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xieyouxixi/hwb-math-modeling-skills/tree/main/skills/生成类/hwb-problem-restatement. 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 Hwb Problem Restatement?

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 Hwb Problem Restatement?

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

Is the Hwb Problem Restatement AI skill free?

It is published on GitHub by xieyouxixi. Check the repository for licensing terms. 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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