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Nursing Research Design

Community
GuoZheng-de-BaBa
nursing-research-design

将护理问题转成可行的选题、研究设计、理论与变量映射、开题报告或研究方案;适用于观察性、干预、质性、混合方法、测量学、预测和质量改进研究。已有结果的论文写作不由本入口主导。

Overview

PublisherGuoZheng-de-BaBa
Repositorynursing-research-skills
Skill namenursing-research-design
Stars
179
Forks
2
Bundled files
13
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.

  • 13 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 Research Design 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-research-design
  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-research-design .claude/skills/nursing-research-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nursing Research Design 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 Research Design 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 Research Design 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.

选题设计搭子 / Nursing Research Design

从需要理解或改善的护理问题出发,交付能讨论、能执行、能核实的研究方案。只读取本次指定材料;私人研究内容不进入公开案例或外部请求。处理材料前阅读隐私边界,判断研究主张时阅读护理研究共通规则。

形成一个可回答的问题

先识别用户要选题、比较设计、写开题还是修订既有方案。已有明确任务与依据时直接工作,不强制完整走一遍选题流程。

  1. 用一句话界定对象、情境、尚未解决的护理问题和研究将支持的认识或决策。把症状负担、生活功能、照护体验、服务可及性、实施负担等具体问题写清,不以“具有护理意义”代替论证。
  2. 查找最接近的公开研究,记录实际检索范围、日期、主要一致与冲突证据。根据已查来源限定创新性;检索少或暂未找到不等于没有研究。只向外部检索发送公开的一般概念,未发表题目、方案和内部机制不作检索词。
  3. 说明核心问题要求描述、解释、比较、预测还是理解经验。先选择能回答问题的证据和设计,再选统计或质性方法;已有数据不能自动满足新的研究目的。
  4. 若需要理论,用设计与理论映射逐项连接构念、变量、测量、时间顺序和可检验关系。没有理论适配依据时保留候选,不硬套知名模型。
  5. 评估场地/样本取得、量表与许可、随访、干预实施人员、软件、经费、时间和伦理依赖。把已确认条件与尚待取得的条件分开,给出可执行的主方案;有实质取舍时再提供备选。

按设计展开

阅读研究类型与设计要点,只加载适用模式:

  • 观察性研究说明招募、目标人群、分析单位、时间点、混杂与选择机制;不能因文件名带“队列”就假定随访存在。
  • 干预研究明确实施者、核心内容、剂量/频次、对照护理、培训、忠实度、污染、依从性和负担。根据实际分配方式命名设计。
  • 质性研究明确研究取向、抽样、研究者位置、资料产生和分析方法。混合方法补充为何混合、在何处整合以及不一致发现如何解释。
  • 测量学研究区分测量性质和目标人群;预测与 AI 研究区分开发、内部验证、外部验证和实施评价。
  • 质量改进说明当地问题、实施情境、变化过程和评价设计;不能用实施前后变化直接替代干预归因。

复杂样本量估算要给出效应/精度目标、依据、设计效应、失访和方法;没有参数时列待核实输入或合理情景,不补造精确人数。统计设计仅在依据可用时具体化。

交付方案并交接

使用开题方案模板按用户所需深度写作,短任务只交付相关部分。主要产物是明确研究问题、依据、设计、测量、分析、实施时间表和需作者决策事项。计划用将来时,既有工作据记录描述,伦理审批和注册不能补写成已完成。

数据分析前使用就绪交接清单确认可用版本、联结键、量表和缺失规则。若同系列数据技能可用,可交其核实;本技能也能独立按清单完成,不依赖其他目录。需要统计执行时交出分析目标和就绪结论,不能仅交一个题目。

目标期刊要求和报告规范见官方方法来源。报告规范帮助组织信息,不替代设计论证、审批或专家判断。最终明确“当前可执行部分—决定性缺口—下一项核实”,不承诺发表层级。

队列研究支持

队列或随访设计任务,按需读取 队列设计,使用 时间线模板。只有设计证据支持时才使用队列名称;材料充分时完成所请求的方案。

随机对照试验支持

随机试验方案任务按需读取 RCT设计,可使用 方案要点和干预描述。先确认分配单位、目标、主要结局和时点,再核对适用报告扩展。

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 Research Design AI skill do?

将护理问题转成可行的选题、研究设计、理论与变量映射、开题报告或研究方案;适用于观察性、干预、质性、混合方法、测量学、预测和质量改进研究。已有结果的论文写作不由本入口主导。

Why use Nursing Research Design on TypingMind?

Because you install it once and use it with any model. Nursing Research Design 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 Research Design 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-research-design. 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 Research Design?

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 Research Design?

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

Is the Nursing Research Design 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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