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Dyz Med Introduction

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duyunzhoudyz
dyz-med-introduction

基于已确认的研究问题、论证地图和已核实文献撰写或修订医学论文引言,形成临床背景、已有证据、具体知识 缺口与研究目的之间的清晰逻辑。当用户明确要写引言或修复引言逻辑时使用;不负责讨论、结果解释或整篇统稿。 Use to draft or revise a medical manuscript introduction and research rationale.

Overview

Publisherduyunzhoudyz
Repositorydyz-med-paper-skills
Skill namedyz-med-introduction
Stars
102
Forks
1
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 duyunzhoudyz on GitHub. Read the source before you install it.

Installation

Install the Dyz Med Introduction 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/duyunzhoudyz/dyz-med-paper-skills/tree/main/dyz-med-introduction
  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/duyunzhoudyz/dyz-med-paper-skills.git /tmp/dyz-med-paper-skills
mkdir -p .claude/skills
cp -r /tmp/dyz-med-paper-skills/dyz-med-introduction .claude/skills/dyz-med-introduction
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dyz Med Introduction 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 Dyz Med Introduction 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 Dyz Med Introduction 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.

医学论文引言撰写

入口边界

用户说“写引言”“改引言”“知识缺口不清楚”时使用。用户想先规划全文逻辑时使用 dyz-med-writing-plan;只想核查引用是否支持论断时使用 dyz-med-evidence-audit。

写作前输入

尽量取得:

  • 研究问题、研究设计、研究对象与主要结局;
  • 论证地图和引言段落计划;
  • 已核实的关键文献、文献简报及矛盾证据;
  • 目标期刊、研究类型和现有引言草稿。

文献不足以证明疾病负担、已有证据或知识缺口时,不得补写看似可信的数字、作者或引用。可先交付段落骨架和 “待补证据清单”。

工作流

1. 固定引言要回答的四个问题

  1. 具体人群面临什么临床或科学问题?
  2. 现有研究已经知道什么?
  3. 仍缺什么,为什么现有证据没有解决?
  4. 本研究准确要回答什么?

常用漏斗结构为“背景 → 已有证据 → 知识缺口 → 研究目的”,但应服从研究类型、期刊格式和实际论证, 不机械限定为四段。

2. 分配证据

  • 疾病负担数字必须带可核查来源;
  • 每项既有结论应能追溯到具体研究或指南;
  • 矛盾或阴性证据应在缺口定义中得到体现;
  • “研究很少”“尚无研究”等存在性断言必须经过足够检索才能使用;
  • 文献简报只是导航,最终引用仍需核对原始记录或全文可见内容。

3. 起草正文

  • 背景聚焦目标人群和问题,删除教科书式常识铺陈;
  • 已有证据说明人群、设计和关键发现,不堆砌作者名单;
  • 缺口具体到人群、比较、结局、方法或证据冲突;
  • 目的句与研究问题和主要结局逐字对齐;
  • 观察性研究采用关联性目的表述,不提前写成干预效果或因果结论。

4. 自检

  • 引言未泄露本研究结果;
  • 没有把讨论和机制推断提前写入引言;
  • 每个数字和关键事实有来源;
  • 引用没有超出摘要或全文实际支持范围;
  • 研究目的不包含计划外的新结局或新亚组;
  • 术语、缩写与全文一致。

输出

默认写入 paper/sections/01-introduction.md,或按用户指定文件更新。若直接改写现有引言,保留一份变更摘要, 说明删除、合并、补证据或降级措辞的位置。

验收标准

  • 读者能从背景自然走到具体知识缺口;
  • 缺口由已核实证据推出,而非空泛宣称;
  • 目的句可直接映射到研究设计和主要结局;
  • 不含虚构引用、结果泄露或过度因果表述。

写作方法参考

用户需要结构改进、逐项修改理由或写作教学时,按需读取写作方法与合成样例。仅翻译或自然化时不据教学样例静默改变科学主张。

配套资源

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 Dyz Med Introduction AI skill do?

基于已确认的研究问题、论证地图和已核实文献撰写或修订医学论文引言,形成临床背景、已有证据、具体知识 缺口与研究目的之间的清晰逻辑。当用户明确要写引言或修复引言逻辑时使用;不负责讨论、结果解释或整篇统稿。 Use to draft or revise a medical manuscript introduction and research rationale.

Why use Dyz Med Introduction on TypingMind?

Because you install it once and use it with any model. Dyz Med Introduction 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 Dyz Med Introduction in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/duyunzhoudyz/dyz-med-paper-skills/tree/main/dyz-med-introduction. 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 Dyz Med Introduction?

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 Dyz Med Introduction?

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

Is the Dyz Med Introduction AI skill free?

It is published on GitHub by duyunzhoudyz. 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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