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Nursing Research Log

Community
GuoZheng-de-BaBa
nursing-research-log

将用户指定的护理研究过程记录整理为可追溯的决策、实施、分析、偏离和版本日志;用于交接、复现和过程核对。不会自动收集病例、其他聊天或上传团队资料,也不补造历史记录。

Overview

PublisherGuoZheng-de-BaBa
Repositorynursing-research-skills
Skill namenursing-research-log
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 Research Log 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-log
  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-log .claude/skills/nursing-research-log
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nursing Research Log 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 Log 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 Log 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.

研究记录搭子 / Nursing Research Log

让下一位研究者知道何时作了什么决定、依据是什么、实际执行到哪里。仅处理本次指定材料;日志可能仍含机密,默认留在私有工作目录。先阅读隐私边界及护理研究共通规则,不自动采集病例、聊天或附件,不将团队记录同步到外部服务。

整理事件而不重建虚假历史

  1. 明确需要决策记录、招募/干预实施日志、分析运行日志、偏离记录还是交接简报。没有指定保存位置时返回可保存文本;已有位置则沿用,不创建不必要的项目目录体系。
  2. 将事件发生时间与本次整理时间分开;不明时间写未知。逐项注明信息是同期记录、事后回忆、推断或待核实。回忆可以登记,但不能回填成同期证据。
  3. 对每个事件记录目的、依据、决定、实际动作、结果状态和后续责任。计划、已执行、已核验分别填写;没有过程材料时注明无法核实,不推断为明确未实施。
  4. 关联输入/输出的私有别名、版本与哈希或运行标识;正文避免复制受试者身份、自由文本和整份原始数据。关联附件仅链接到获授权位置,不默认复制或上传。
  5. 用事件日志与偏离登记完成任务所需部分。更正旧记录时新增更正条目并关联原条目,保留原始记录;不得抹除不理想结果或反向修改已记录的分析决定。

护理实施与分析的特定内容

  • 干预记录说明实际实施者角色、内容/时长、完成程度、培训/忠实度核查、共同干预及偏离;不虚构精确接触时间。涉及事件处置,只记录有授权的去标识化过程摘要,不给出未经机构确认的处置结论。
  • 质性资料记录访谈/转录/编码版本、分析决策与研究者反思;原始引文和身份对应表分别受控保存。没有依据时不补造饱和或成员核查。
  • 分析记录说明输入版本、软件/包、命令、种子、模型与样本、错误/警告和产物;脚本生成不等于成功运行,成功运行不等于结论有效。
  • AI 辅助记录区分检索、提取、草拟、计算和人工复核,并写实际检查的范围。两个模型意见一致不能记录为两名人类独立评价。

交付交接摘要:已完成且核验的内容、现有可用产物、未解决事项及下一项动作。相关阶段记录细节见日志口径。

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 Log AI skill do?

将用户指定的护理研究过程记录整理为可追溯的决策、实施、分析、偏离和版本日志;用于交接、复现和过程核对。不会自动收集病例、其他聊天或上传团队资料,也不补造历史记录。

Why use Nursing Research Log on TypingMind?

Because you install it once and use it with any model. Nursing Research Log 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 Log 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-log. 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 Log?

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 Log?

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

Is the Nursing Research Log 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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