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Dyz Med Abstract

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duyunzhoudyz
dyz-med-abstract

从已完成正文和已核实结果生成或修订医学论文标题、结构化摘要与关键词,并按目标期刊当前作者须知核对 分节、字数和必报信息。当用户要求写摘要、压缩摘要、起学术标题或制作中英双语摘要时使用;不从缺失正文 中编造结果,也不把内置期刊配置当作实时官方要求。 Use for medical manuscript titles, structured abstracts and bilingual abstracts.

Overview

Publisherduyunzhoudyz
Repositorydyz-med-paper-skills
Skill namedyz-med-abstract
Stars
102
Forks
1
Bundled files
11
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.

  • 11 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 Abstract 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-abstract
  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-abstract .claude/skills/dyz-med-abstract
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dyz Med Abstract 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 Abstract 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 Abstract 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.

医学论文标题与摘要

入口边界

用户明确要求标题、摘要、关键词或摘要压缩时使用。完整正文尚未形成时,可以生成标为“临时版”的摘要骨架, 但不得把计划中的方法或预期结果写成已完成事实。

所需输入

  • 最终或当前版本的引言、方法、结果和讨论;
  • 可追溯的主要结局统计结果;
  • 研究设计、样本量、注册与资助信息(如适用);
  • 论证边界和目标期刊;
  • 期刊当前作者须知或可核实的官方页面。

核心原则

  1. 摘要中的每个数字必须与结果正文或原始统计输出一致。
  2. 摘要不得新增正文没有的信息、亚组、结论或引用。
  3. 标题反映研究问题、关键变量和设计;不以“更吸引人”为由使用超出证据的宣告式因果标题。
  4. 期刊分节、字数、关键词和注册要求会变化;指定期刊时核对其当前官方说明并记录核对日期。
  5. 本 Skill 的 JSON 配置仅为离线起草参考,不能替代实时核对。

工作流

1. 确定摘要类型

根据研究类型和目标期刊选择结构。常见原创研究可使用背景、方法、结果、结论;系统综述、诊断研究、预测模型、 试验方案或病例报告应使用各自适用的摘要清单。期刊没有结构化摘要时,仍需覆盖相同核心信息。

2. 生成标题候选

提供 2–3 个不改变证据强度的标题,并说明差异。优先包含目标人群、主要暴露或干预、结局和研究设计。避免 无意义开头、未定义缩写、宣传性措辞和观察性研究的因果动词。

3. 从正文提取摘要

  • 背景:最小必要背景与具体目的;
  • 方法:设计、场所或数据源、参与者、主要结局和核心分析;
  • 结果:实际分析人数、主要效应量与不确定性,必要时包含关键安全性或次要结果;
  • 结论:直接回答目的,并与设计和正文边界一致;
  • 注册、资助等信息按研究类型和期刊要求加入。

标题、结果概括及结论逐句执行关键结论反查, 复用已有结果来源表或论断证据矩阵的ID与定位,核对实际效应与CI、结局角色、研究设计及可信临床阈值。 正文或上游分类自身有冲突时不照搬;阈值未知为 indeterminate,诊断证据缺失为 unverified,在稿外 记录缺项并收窄措辞,不补造结果,也不把缺资料判成模型无效。

4. 计数与裁剪

按目标期刊说明的计数口径计算;报告原始计数、上限、是否包含标题和小标题。超限时依次压缩背景、次要方法和 次要结果,保留主要结局和关键安全信息。裁剪后重新计数。无法满足限制时说明取舍,不静默删除主要结果。

5. 生成关键词

关键词与题目、研究对象和设计一致。可用 MeSH 等权威词表核对英文词;本地中文词表仅作候选参考,未命中时 标为待人工核对,不编造主题词或标识符。

6. 双语一致性检查

中英文版本分别核对样本量、统计值、方向、术语、结论强度和各自字数。翻译不能补写任一版本缺失的信息。

输出

默认写入 paper/sections/05-abstract.md,同时给出:

  • 采用的期刊要求、来源与核对日期;
  • 中英文计数结果;
  • 数值一致性检查;
  • 待作者确认的问题。

验收标准

  • 结构和计数符合已核实的目标期刊要求;
  • 主要结局、样本量和结论与正文一致;
  • 标题不超出研究设计支持;
  • 关键词来源清楚;
  • 没有把计数报告、裁剪说明或内部备注混入摘要正文。

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 Abstract AI skill do?

从已完成正文和已核实结果生成或修订医学论文标题、结构化摘要与关键词,并按目标期刊当前作者须知核对 分节、字数和必报信息。当用户要求写摘要、压缩摘要、起学术标题或制作中英双语摘要时使用;不从缺失正文 中编造结果,也不把内置期刊配置当作实时官方要求。 Use for medical manuscript titles, structured abstracts and bilingual abstracts.

Why use Dyz Med Abstract on TypingMind?

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

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

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 Abstract?

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

Is the Dyz Med Abstract 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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