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Nursing Review Writing

Community
GuoZheng-de-BaBa
nursing-review-writing

帮助用户把零散护理文献组织成有主线的综述。用于叙述性、范围或系统综述的选型、方案设计、证据整理、写作与修订,根据已提供的研究问题、检索记录和研究材料,交付综述方案、证据矩阵和中英文段落草稿;不把未执行的检索、人工筛选或质量评价写成已完成。

Overview

PublisherGuoZheng-de-BaBa
Repositorynursing-research-skills
Skill namenursing-review-writing
Stars
179
Forks
2
Bundled files
9
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.

  • 9 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 Writing 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-writing
  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-writing .claude/skills/nursing-review-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nursing Review Writing 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 Writing 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 Writing 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.

综述写作搭子

描述资料状态时,区分“未提供过程记录”与“已确认未执行”:没有检索、筛选、偏倚风险评价或人评记录,只能写当前材料无法核实相应过程,不能改写成“尚未完成/未实施”。只有用户明确说明未做时才报告未做;有依据的合成段落继续完成。

帮助研究者从“有哪些论文”推进到“证据共同说明什么、哪里仍不确定、对护理研究有什么意义”。交付可以是一份可执行方案,也可以是已有材料支持的综述草稿;根据当前阶段选择,不强制从头重做。

材料与隐私入口

遵守本技能内的 隐私规则 和 护理共同判断。针对护理结局、定性证据和实施差异,按需读取 护理证据合成。

只读取用户为本次任务指定的材料,不扫描其他项目或历史目录。用户论文、导师任务、未发表结果、学习笔记,以及先前为论文或课题制作的 AI 图文产物均按私有材料处理;获得阅读许可不等于获得公开或外部传输许可。不得将这些文件、截图、原文段落、具体结果或可识别项目特征复制进公开示例、仓库、网页或外部检索/绘图服务。需要检索时,只发送经确认可公开的通用概念与公开文献标识,不以私有原文作搜索词。

宿主 AI 是否向模型服务发送材料取决于运行环境,不能因辅助工具离线就承诺数据留在本机。不清楚授权或宿主处理方式时,先用空白模板和新的合成材料完成可独立开展的部分。生成的证据矩阵、段落和图表也不会自动脱敏;保存在用户指定的私有输出位置,不自动发布。

选择工作入口

  • 只有兴趣或题目:界定人群、护理情境、核心概念和目标读者。若目标是判断特定干预的效果,考虑系统综述;若目标是梳理概念、研究分布及空白,考虑范围综述;若目标是建立概念论证,采用透明说明来源选择的叙述性综述。不要因为材料数量少就改称范围综述,也不要把“综述”自动扩成 Meta 分析。
  • 正在检索/筛选:使用 方案与检索记录模板,记录数据库与平台、完整检索式、实际执行日期、限制及导出文件版本。将“拟检索”“已执行”“待更新”分开。没有访问能力时交付待执行策略,不编造命中量、PRISMA 流程数或注册号。
  • 已有研究/提取表:建立 证据矩阵,先确认纳入版本,再按问题组织证据。每份报告关联 study_id;同一研究的多份报告不能重复算样本或效应。只见摘要时注明范围,不能补写全文方法。读 合成与写作规则。
  • 已有稿件:先找主张与矩阵的对应关系、研究设计混用、重复计数、检索状态与方法段冲突;然后保留作者核心意思修订语言。不要因修辞改善把探索性关联升级为护理干预建议。

从矩阵写成稿件

  1. 固定本轮材料清单及版本,区分已纳入研究、待筛选报告与背景文献。只对已核验范围使用“全部”一类表述。
  2. 按研究问题聚类,通常涉及人群/情境、护理措施或概念、结局及测量、设计与偏倚。形成“共同发现—差异—可能解释—仍需证据”的论证,避免逐篇摘要拼接。
  3. 写可交付段落:引言说明临床/护理问题及综述目标;方法只叙述实际过程,待做步骤放方案;结果与矩阵一致;讨论先回答问题,再解释异质性、证据限制和护理研究/实践含义。可使用 段落模板。
  4. 将每个可核查主张连到 report_id、原文页/节/表,保留真实效应值、区间、时间点和设计。暂缺出处使用“待核实”,不生成看似完整的 DOI 或作者年份。
  5. 最后交付修改稿、简短来源覆盖说明、尚需作者确认的事项。英文段落可直接用作作者修订稿,重要逻辑用中文说明;未核实信息不得为追求英文流畅而补齐。

PRISMA 是报告规范,不能当作偏倚风险分数或研究质量评级。正式筛选、双人提取、评价共识与证据确定性只能记录真实完成的过程;AI 可提出预审建议,不冒充研究团队。适用规范及官方入口见 方法来源。统计合并、自动检索和注册提交不由本 Skill 默认为已授权或已完成。

检索执行与更新可交给 nursing-literature-search,具体效应合并可交给 nursing-statistics;本技能继续负责问题、纳入依据、矩阵、合成逻辑及正文。协作时传递明确授权的材料与状态,未安装其他技能时仍可独立交付方案和有依据的稿件。

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 Writing AI skill do?

帮助用户把零散护理文献组织成有主线的综述。用于叙述性、范围或系统综述的选型、方案设计、证据整理、写作与修订,根据已提供的研究问题、检索记录和研究材料,交付综述方案、证据矩阵和中英文段落草稿;不把未执行的检索、人工筛选或质量评价写成已完成。

Why use Nursing Review Writing on TypingMind?

Because you install it once and use it with any model. Nursing Review Writing 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 Writing 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-writing. 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 Writing?

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 Writing?

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

Is the Nursing Review Writing 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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