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Nursing Technical Disclosure

Community
GuoZheng-de-BaBa
nursing-technical-disclosure

将用户授权的护理器具、流程或数字系统材料组织成有来源的私有技术交底草稿,说明技术问题、结构或步骤、实施例和待验证效果。适用于技术交底与现有技术对比准备,不自动申报专利,不承诺可专利性或把普通护理方案包装成发明。

Overview

PublisherGuoZheng-de-BaBa
Repositorynursing-research-skills
Skill namenursing-technical-disclosure
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 Technical Disclosure 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-technical-disclosure
  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-technical-disclosure .claude/skills/nursing-technical-disclosure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nursing Technical Disclosure 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 Technical Disclosure 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 Technical Disclosure 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.

技术交底搭子

把“想解决什么问题、具体怎样实现、哪些特征已有依据、还缺什么验证”写成可供发明人和专业人员讨论的交底稿。默认交付技术沟通材料,不自动扩展为正式申请或法律意见。

私有材料与范围

技术交底、原型细节、源代码、研究结果和未发表图均可能保密。只读取本次授权材料,遵守 隐私边界 与 临床研究判断。不把未公开方案放入搜索词、外部模型或公开仓库;本地文件处理不能证明宿主模型离线。

沿用已确认的主题与输出格式。先区分器具、系统、技术过程或待研究的护理方案;若材料只有一个护理问题,先完成需求与证据缺口,不虚构技术实现。确需现有技术检索时,使用经授权的通用公开概念,并记录覆盖范围,不能将未检索到理解成不存在。

构建有依据的技术描述

  1. 用 交底模板 明确用途、使用者、环境和技术问题。按任务所需填写,不主动索取联系人电话、住址或患者资料。
  2. 从授权材料提取组件、连接、材料、步骤、输入输出和参数,为重要特征登记来源定位;使用 技术特征证据表 标注“来源明确、需发明人核实、暂无依据”。
  3. 写清核心实现:器具说明部件关系和工作过程;数字系统说明数据输入、处理步骤、输出及异常处理;流程说明实施条件和可复现顺序。缺少结构或关键参数时提出具体问题,不写成已经实现。
  4. 把技术特征与预期作用一一关联。已有测量支持的效果、仅设计推断的效果和未来验证计划分别表述。不能补造测试次数、准确率、感染下降、护理负担减少或患者获益。
  5. 准备一个由材料支持的实施例及必要附图说明,标明变化方案是否已实现。普通护理操作、沟通建议或算法概念不能仅加“智能”就宣称具有技术创新。
  6. 对比公开现有技术时按特征逐项列来源、相同/不同点及不确定性,不只比较宣传标题。不推断发明人、权利人、许可、公开日期或法律地位。
  7. 根据 复核要点 检查术语、部件编号、步骤、图和效果是否一致;给出发明人待确认问题与验证建议。

交付

交付中文技术交底草稿、特征依据表和待核实问题;按请求生成 .docx 时实际打开或渲染检查格式。输出位置保持私有。只完成文本时如实说明 DOCX 未生成。

正式申请、权利要求范围、可专利性、侵权及医疗器械监管判断需要相应专业核查,不由此技能自动完成;发布、联系代理人或提交申请需要独立明确授权。涉及国家或地区规则时核实当前官方来源,不将通用经验作为确定法律结论。

来源及适用边界见 来源说明。

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 Technical Disclosure AI skill do?

将用户授权的护理器具、流程或数字系统材料组织成有来源的私有技术交底草稿,说明技术问题、结构或步骤、实施例和待验证效果。适用于技术交底与现有技术对比准备,不自动申报专利,不承诺可专利性或把普通护理方案包装成发明。

Why use Nursing Technical Disclosure on TypingMind?

Because you install it once and use it with any model. Nursing Technical Disclosure 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 Technical Disclosure 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-technical-disclosure. 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 Technical Disclosure?

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 Technical Disclosure?

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

Is the Nursing Technical Disclosure 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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