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Hwb Problem Translator

Community
xieyouxixi
hwb-problem-translator

Translate a complete HUAWEI Cup (China Post-Graduate Mathematical Contest in Modeling) problem into a sentence-level interpretation report, identifying definitions, constraints, data semantics, deliverable requirements and cross-question dependencies. Use when a graduate team has just received the A~F problem and needs an exhaustive reading before modeling.

Overview

Publisherxieyouxixi
Repositoryhwb-math-modeling-skills
Skill namehwb-problem-translator
Stars
193
Forks
5
Bundled files
5
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.

  • 5 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 Translator 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-translator
  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 Translator 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 Translator 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 Translator 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 Translator

把完整研赛赛题(含全部补充说明与附件说明)翻译成一份可被后续建模与写作直接引用的题意说明。研赛题干普遍包含工程背景长段落与分散的口径约定,逐句翻译是防止"做错题"的第一道闸。

Required references

输入

  • 主赛题全文(必填);
  • 补充说明 / 更正说明 / 附录 / 附件说明(研赛必看,口径常在此处变更);
  • 可选:已有题意笔记。

缺任一项时,先列出"缺失材料"再开始,不要靠推测补齐。

工作步骤

  1. 切句编号:把赛题切成可索引的句子单元(S01、S02……),保留原句以便回溯。
  2. 抽取六类要素:
    • 定义:题目自定义的术语、缩写、指标;
    • 约束:硬约束(不能违反)与软约束(偏好)分开;
    • 数据口径:单位、量纲、时间范围、采样频率、缺失与异常处理约定;
    • 交付要求:要交什么(数值、表格、方案、图像)、格式、精度;
    • 跨问题关系:哪几问共享数据/模型/结果,哪一问是前面结果的延伸;
    • 背景与边界:工程场景中隐含但未明说的物理/业务限制。
  3. 标注不确定处:凡题目表述有歧义、或附件缺失导致无法判定的,写入"待澄清清单",并给出"若按 A 理解 / 若按 B 理解"的分支影响。
  4. 产出跨问题依赖图:用 Mermaid 表示问题之间的数据流与结果依赖。
  5. 输出遗漏审计:逐项检查是否有句子未被任何要素吸收。

输出结构

markdown
# 赛题翻译报告 · <年份> <题号> <题目全称>

## 0 赛题档案
| 项目 | 内容 |
|---|---|
| 届次/年份 | |
| 题号 | |
| 题目全称 | |
| 命题方 | (华为题 / 中兴题 / 未标注) |
| 题型族 | |
| 赛程 | 四天 |

## 1 逐句解释
| 句号 | 原文 | 白话解释 | 要素类型 | 风险提示 |

## 2 定义表
## 3 约束表(硬/软分离)
## 4 数据口径表
## 5 交付要求表
## 6 跨问题依赖图
```mermaid
flowchart LR

7 待澄清清单

| 编号 | 歧义点 | 理解A | 理解B | 分支影响 | 建议 |

8 遗漏审计

9 一句话题意


## 硬约束

- 题目名称、年份、题号、命题方必须与本地赛题原件一致;**不得改写题目名称**。
- **不得虚构**题目中不存在的数据、附件或要求。
- 若为**华为赛题**,要在赛题档案中显式标注——选择华为赛题的队伍可额外参评**华为专项奖**(在华为赛题中排名前 16 名者,一等奖 4 队、二等奖 12 队),这会影响后续策略建议。
- 竞赛期间若用户正在参赛:**提醒其不得就赛题内容与队外任何人讨论**(包括网上),本 Skill 的输出仅作为个人读题笔记使用。
- 输出必须是 Markdown,便于被 `hwb-modeling-ideas`、`hwb-problem-restatement` 等下游 Skill 直接引用。

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 Translator AI skill do?

Translate a complete HUAWEI Cup (China Post-Graduate Mathematical Contest in Modeling) problem into a sentence-level interpretation report, identifying definitions, constraints, data semantics, deliverable requirements and cross-question dependencies. Use when a graduate team has just received the A~F problem and needs an exhaustive reading before modeling.

Why use Hwb Problem Translator on TypingMind?

Because you install it once and use it with any model. Hwb Problem Translator 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 Translator 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-translator. 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 Translator?

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 Translator?

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

Is the Hwb Problem Translator 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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