Bzd Problem Restatement logo

Bzd Problem Restatement

Community
BZDmathclub
bzd-problem-restatement

Generate a compliant Chinese mathematical-modeling problem-restatement chapter from a complete 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

PublisherBZDmathclub
Repositorybzd-math-modeling-skills
Skill namebzd-problem-restatement
Stars
425
Forks
17
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 BZDmathclub on GitHub. Read the source before you install it.

Installation

Install the Bzd 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/BZDmathclub/bzd-math-modeling-skills/tree/main/skills/生成类/bzd-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 Bzd 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 Bzd 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 Bzd 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.

BZD Problem Restatement

Work in one of two modes based on the user's request:

  • 生成模式: the user supplies the original problem and asks to write or translate it into a problem-restatement chapter;
  • 自查模式: the user supplies both the original problem and a drafted problem-restatement chapter and asks for diagnosis or review.

Do not confuse 问题回顾 with the separate 问题分析 chapter. A restatement explains what the problem asks; it does not select models, analyze variable relationships, describe algorithms, or report results.

Read references/restatement-rules.md before either mode. In review mode also read references/review-checklist.md.

Generation mode

Use the complete problem statement as the factual source. Preserve every material task, number, unit, time range, sample size, constraint, attachment role, and required output form. Reorganize and paraphrase instead of replacing isolated synonyms.

Output:

markdown
# 1 问题重述

## 1.1 研究背景

【1—3段,与任务直接相关】

## 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】

## 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”】

Research-overview evidence

  • Never invent authors, papers, journals, years, findings, or URLs.
  • When the user provides verified literature, use only those sources unless they authorize additional research.
  • When browsing is available and the user requests cited literature, search real primary or authoritative sources and cite them.
  • When no verified literature is available, write a method-level overview without fabricated citations and explicitly mark 具体文献需要补充并核验. Do not make citation-looking placeholders appear real.

The generated chapter should normally fit within 1–2 pages, including a research overview of roughly 500 Chinese characters, unless the competition specifies otherwise.

Review mode

Compare the draft against the original problem. Do not rewrite the chapter unless the user asks for a revision after diagnosis.

Use this order:

  1. 审查结论 — 2–4 sentences on completeness and highest risk;
  2. 问题清单 — Markdown table: 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 — tasks, conditions, numbers, units, constraints, attachments, output forms;
  4. 章节边界核对 — whether models, algorithms, analysis, formulas, or results leaked into the restatement;
  5. 研究综述核对 — relevance, balance, evidence and fabricated-citation risk;
  6. 修改优先级 — the three highest-value actions;
  7. 待核对事项 — items that cannot be established from the supplied material.

Use 严重问题 / 重要问题 / 一般问题 / 优化建议. Every serious or important issue needs a location and concrete evidence. If a level has no issue, do not invent one.

Shared safeguards

  • Do not change the problem merely to reduce textual similarity.
  • If the original problem is incomplete or an attachment is missing, retain what is certain and list the gap; do not guess.
  • Treat a literature survey as part of the requested restatement format, not as permission to fabricate external facts.
  • Use objective third-person academic Chinese.
  • If the user says “检查” or “点评”, diagnose first. Provide a revised version only when explicitly requested.

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 Bzd Problem Restatement AI skill do?

Generate a compliant Chinese mathematical-modeling problem-restatement chapter from a complete 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 Bzd Problem Restatement on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BZDmathclub/bzd-math-modeling-skills/tree/main/skills/生成类/bzd-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 Bzd 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 Bzd Problem Restatement?

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

Is the Bzd Problem Restatement AI skill free?

It is published on GitHub by BZDmathclub. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇