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Hwb Modeling Ideas

Community
xieyouxixi
hwb-modeling-ideas

Generate a whole-paper modeling backbone for a HUAWEI Cup post-graduate contest problem, comparing candidate models per question with selection reasons, innovation points and validation routes. Use when a team has read the A~F problem and needs a coherent modeling main line instead of per-question ad-hoc models.

Overview

Publisherxieyouxixi
Repositoryhwb-math-modeling-skills
Skill namehwb-modeling-ideas
Stars
193
Forks
5
Bundled files
4
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.

  • 4 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 Modeling Ideas 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-modeling-ideas
  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 Modeling Ideas 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 Modeling Ideas 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 Modeling Ideas 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 Modeling Ideas

为一个研赛赛题生成贯穿全文的建模主线,并为每一问给出候选模型、选型理由、创新点与验证路线。

研赛的一等奖论文与三等奖论文的最大差别,往往不是"用了多高级的模型",而是有没有一条主线把 3–5 问串起来。本 Skill 的首要产出就是这条主线。

Required references

输入

  • 完整赛题(必填);
  • 题意翻译报告(强烈建议,来自 hwb-problem-translator);
  • 附件数据结构说明;
  • 队伍可用工具与人力(可选,影响选型激进程度)。

工作步骤

  1. 判定题型族,据此选出候选模型池(见 cpgmcm-abcdef-modeling-patterns.md)。
  2. 提炼主线:用一句话概括"这道题的物理/业务内核是什么",再确定主线模型(通常 1–2 个)与辅助模型(0–2 个)。
  3. 逐问给方案:每问列出 2–4 个真正可实现的候选模型,逐个给"适用条件 / 数据要求 / 优点 / 风险 / 实现难度"。
  4. 给选型建议:明确推荐哪个、为什么、被淘汰的为什么不适合(不是"太简单",而是具体的条件不满足)。
  5. 设计验证路线:每个主模型必须配一条独立验证路径(留出集、交叉验证、物理合理性检验、基线对比、量纲/守恒检验)。
  6. 标注创新点:区分"真创新"(有基线对比 + 有代价评估)与"包装创新"(换名字、堆模块),后者要被明确劝退。
  7. 产出全文结构草图:章节骨架 + 每章对应的模型与结果。

输出结构

markdown
# 建模思路报告 · <年份> <题号> <题目全称>

## 0 一句话内核
## 1 题型族判定与候选模型池
## 2 全文主线
### 2.1 主线模型
### 2.2 辅助模型
### 2.3 主线如何贯穿各问
## 3 逐问方案对比
### 3.1 问一
| 候选模型 | 适用条件 | 数据要求 | 优点 | 风险 | 实现难度 | 建议 |
### 3.2 问二 …(覆盖全部问题)
## 4 选型结论与理由
## 5 验证路线
| 模型 | 验证方式 | 需要什么数据/实验 | 预期结论强度 |
## 6 创新点清单(真/包装分离)
## 7 论文结构草图
## 8 风险与备用方案

硬约束

  • 候选模型必须能用题目给定数据实现。推荐一个数据不足的模型等于推荐一次翻车。
  • 每个"风险"必须具体到哪个假设可能不成立、导致什么后果;禁止写"精度可能不足"这类空话。
  • 不得虚构文献、算法名称或"已有研究表明"。
  • 研赛是四天赛程:给出的方案必须在四天内可完成。不要推荐需要长期训练或大规模算力的方案,除非队伍明确具备条件。
  • 若为华为赛题,在策略建议中说明可争取华为专项奖(华为赛题排名前 16 名,一等奖 4 队、二等奖 12 队),但不得为了让论文"更贴华为"而牺牲方法严谨性。
  • 竞赛进行中提醒用户:赛题内容不得与队外任何人讨论。

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 Modeling Ideas AI skill do?

Generate a whole-paper modeling backbone for a HUAWEI Cup post-graduate contest problem, comparing candidate models per question with selection reasons, innovation points and validation routes. Use when a team has read the A~F problem and needs a coherent modeling main line instead of per-question ad-hoc models.

Why use Hwb Modeling Ideas on TypingMind?

Because you install it once and use it with any model. Hwb Modeling Ideas 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 Modeling Ideas 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-modeling-ideas. 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 Modeling Ideas?

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 Modeling Ideas?

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

Is the Hwb Modeling Ideas 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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