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Dyz Med Discussion

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duyunzhoudyz
dyz-med-discussion

基于已核实结果、研究设计和文献证据撰写或修订医学论文讨论部分,覆盖主要发现、与既有证据的比较、合理 解释、局限性、适用性和结论边界。当用户明确要写讨论、解释结果或修复过度声称时使用;不改写统计结果, 不把引用次数当作证据质量,也不编造机制或未来研究样本量。 Use to draft or revise medical discussions, evidence comparisons and limitations.

Overview

Publisherduyunzhoudyz
Repositorydyz-med-paper-skills
Skill namedyz-med-discussion
Stars
102
Forks
1
Bundled files
6
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.

  • 6 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 Discussion 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-discussion
  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-discussion .claude/skills/dyz-med-discussion
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dyz Med Discussion 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 Discussion 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 Discussion 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.

医学论文讨论部分撰写

输入

尽量读取:

  • 研究问题、设计与论证边界;
  • 已核实的结果正文、统计输出和敏感性分析;
  • 方法部分与偏倚控制说明;
  • 关键文献、矛盾证据、证据审计结果;
  • 目标期刊与适用报告规范。

缺少关键文献或结果来源时,可先搭讨论骨架,但把未核实位置明确留在内部问题清单中。

核心原则

  1. 不新增、改写或重新解释不在结果来源中的数字。
  2. 观察性关联、预测性能和探索性发现不得写成因果、疗效或临床可用性证明。
  3. 文献比较依据研究设计、适用人群、效应量和偏倚风险;引用量或期刊名不能替代质量判断。
  4. 机制解释必须区分本研究直接证据、外部证据、合理推断和纯假设。
  5. 局限性与方法实际做法一致,不套用通用清单。

工作流

1. 概括主要发现

用一小段回答研究问题,引用必要的主要效应量,不重复整段结果,也不加入新分析。

2. 与既有证据比较

对最相关证据做逐点比较:

  • 研究人群、设计、暴露或干预和结局是否可比;
  • 方向、效应量与不确定性是否一致;
  • 差异可能来自哪些可证实的方法学或临床因素;
  • 是否存在阴性、矛盾或更新的证据。

需要补充当前文献时,使用可用的权威检索工具并记录检索日期与来源。只看摘要时,明确“摘要级核实”, 不写摘要未支持的细节。

3. 写解释与机制

逐条标注证据层级:

  • direct:本研究直接测量并支持;
  • external:由已核实外部研究支持;
  • plausible:间接证据下的合理推断;
  • speculative:待验证假设。

机制链缺失时直接承认缺口。可参考 机制论断分级骨架,但不得把内部评分当成正式证据等级。

4. 写稳健性、局限性与适用性

  • 说明敏感性分析对主结论的支持或削弱;
  • 每项局限性连接到可能影响的结论;
  • 偏倚方向只有在本研究实际方法、数据或已核实的方法学来源支持时才写,保留支持依据与定位;
  • 无法判断方向时明确写“方向未知/无法判断”,只说明已知局限影响的结论,不补造机制或默认“向零偏倚”;
  • 不能仅凭“非差异误分类”“缺失数据”或局限性名称判定方向,须核对支持该方向的条件是否适用于本研究;
  • 讨论外部适用性时限定到实际人群、场所和数据范围;
  • 不把已经处理的问题重复列为未处理局限。

5. 写临床意义与未来研究

临床意义必须与效应量、不确定性、研究设计和预设阈值相符。沿用 dyz-med-interpret 的分类前,按已有论断或输出定位 回查效应量、置信区间、结局角色、研究设计及阈值来源与适用性,不仅凭点估计或上游标签下结论。 置信区间跨越或触及可信且适用的临床重要阈值时保留 uncertain;阈值缺失或与结局、尺度、方向、时间点不匹配时 保留 indeterminate,不自行补阈值。未来研究建议具体到需要验证的问题、设计或人群; 没有正式把握度计算时,不编造样本量。

6. 收束结论

结论直接回答研究问题,强度不超过研究设计和证据。不得把“需要进一步验证”前面的过度结论当作已被修正。

输出

默认写入 paper/sections/04-discussion.md。如补充了新文献,同步更新引用记录或待核查清单,不在章节末尾 单独生成参考文献块。

验收标准

  • 主要发现与结果完全一致;
  • 相关证据和矛盾证据均被公平处理;
  • 机制与临床应用表述有清晰证据边界;
  • 局限性与方法相符;
  • 结论无因果泄漏、夸大或新数字。

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 Discussion AI skill do?

基于已核实结果、研究设计和文献证据撰写或修订医学论文讨论部分,覆盖主要发现、与既有证据的比较、合理 解释、局限性、适用性和结论边界。当用户明确要写讨论、解释结果或修复过度声称时使用;不改写统计结果, 不把引用次数当作证据质量,也不编造机制或未来研究样本量。 Use to draft or revise medical discussions, evidence comparisons and limitations.

Why use Dyz Med Discussion on TypingMind?

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

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

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 Discussion?

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

Is the Dyz Med Discussion 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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