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Nursing Review Response

Community
GuoZheng-de-BaBa
nursing-review-response

将护理科研审稿意见转成返修行动、逐点回复和一致的修订材料,核对每项完成声明、证据及稿件位置。适合收到编辑或审稿意见后的返修;初次投稿和投稿前模拟审稿分别使用写作与模拟审稿流程。

Overview

PublisherGuoZheng-de-BaBa
Repositorynursing-research-skills
Skill namenursing-review-response
Stars
179
Forks
2
Bundled files
7
LicenseMIT
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.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by GuoZheng-de-BaBa on GitHub. Read the source before you install it.

Installation

Install the Nursing Review Response 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/GuoZheng-de-BaBa/nursing-research-skills/tree/main/skills/nursing-review-response
  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/GuoZheng-de-BaBa/nursing-research-skills.git /tmp/nursing-research-skills
mkdir -p .claude/skills
cp -r /tmp/nursing-research-skills/skills/nursing-review-response .claude/skills/nursing-review-response
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nursing Review Response 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 Nursing Review Response 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 Nursing Review Response 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.

审稿回复搭子 / Nursing Review Response

让审稿意见、实际完成的工作、回复信和修订稿逐项对应。先解决问题,再用简洁、尊重且有依据的语言说明改变了什么及为什么。

编辑信、未发表稿件和审稿意见可能保密,先读 隐私边界。不得为补充文献把整封信或私人结果交给外部服务;护理判断使用 研究共通规则。

接收与分解

  1. 确定任务是局部润色、意见分流还是完整返修包。提取已提供的编辑决定、截止要求、文件要求、审稿人分组与稿件版本。决定类型未知不妨碍逐条分析;只把依赖编辑决定的策略留待确认。
  2. 原样保留意见并编号;把一条中的多个要求分成可跟踪行动。区分问题本身与审稿人的建议方法,先判断其是否能回答问题,避免不加判断地执行不适合研究设计的新分析。
  3. 建立 返修台账:每项的行动、完成状态、证据位置、稿件改动和未决输入。完成状态仅用 拟开展、执行中、作者报告完成但未核实、已核实完成、有依据未采纳、待作者信息。

形成可使用回复

  • 对接受的意见,说明实际修改、简短依据及最新位置;必要时引用修订后的短段文字。只有核对到修改稿/结果文件后,才写“已完成”。
  • 新分析先保留方案,取得真实执行输出后再更新回复。横断面研究不能通过调整措辞获得时间顺序;无法补做随访、随机或外部验证时,说明证据边界并调整结论,不能编造实施。
  • 对有依据不采纳的建议,先回应科学问题,再说明方法理由、已完成的替代处理或限制。不要只写“超出范围”,也不要为讨好审稿人改坏已正确的方法。
  • 意见与现有正文重复时,改善可见性或解释清晰度,并给准确位置;避免指责审稿人未读懂。
  • 冲突意见先找共同科学目的;无法同时满足时形成可供作者决定的取舍及依据。不要伪造编辑的偏好或批准。
  • 不同审稿人的回复可独立阅读。是否分文件由期刊要求决定;需要匿名时清除身份信息,不靠“参见另一审稿人”替代完整回答。

修订稿联动与检查

在副本上修改,保留原字体、版式和作者最新改动。以真实提交稿为标记基线,按期刊要求使用修订模式或标色;不把未改文字标成新增。简单文字回复不强制生成整套附件。

涉及完整返修包时执行 一致性检查:干净稿与标记稿接受修改后的内容一致;回复引文与正文一致;样本、表图、补充材料和引用编号一致;最终排版后重新核对页/行号。未渲染或未能核实的定位不得写成已检查。

使用 逐条回复模板 交付作者可审阅稿。中文说明关键取舍;需要英文时提供自然英文回复并保留明确占位。最后按实际状态说明“可供作者终审”“仍有占位”或“待关键证据”,不能代替作者确认或直接提交期刊。官方来源见 方法来源。

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 Nursing Review Response AI skill do?

将护理科研审稿意见转成返修行动、逐点回复和一致的修订材料,核对每项完成声明、证据及稿件位置。适合收到编辑或审稿意见后的返修;初次投稿和投稿前模拟审稿分别使用写作与模拟审稿流程。

Why use Nursing Review Response on TypingMind?

Because you install it once and use it with any model. Nursing Review Response 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 Nursing Review Response in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/GuoZheng-de-BaBa/nursing-research-skills/tree/main/skills/nursing-review-response. 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 Nursing Review Response?

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 Nursing Review Response?

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

Is the Nursing Review Response AI skill free?

Yes. It is published on GitHub by GuoZheng-de-BaBa under the MIT license. 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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