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Qujiawuha Sheji Zhinan

Community
zx029w
qujiawuha-sheji-zhinan

内置装修课堂知识库,系统讲清楚“去家务化设计指南”到底怎么选、怎么装,问选材、问做法、问避坑全部覆盖。

Overview

Publisherzx029w
Repositoryzhuangxiu-skills
Skill namequjiawuha-sheji-zhinan
Stars
88
Forks
26
Bundled files
27
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.

  • 27 bundled files

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

  • Open source

    Published by zx029w on GitHub. Read the source before you install it.

Installation

Install the Qujiawuha Sheji Zhinan 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/zx029w/zhuangxiu-skills/tree/main/qujiawuha-sheji-zhinan
  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/zx029w/zhuangxiu-skills.git /tmp/zhuangxiu-skills
mkdir -p .claude/skills
cp -r /tmp/zhuangxiu-skills/qujiawuha-sheji-zhinan .claude/skills/qujiawuha-sheji-zhinan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Qujiawuha Sheji Zhinan 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 Qujiawuha Sheji Zhinan 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 Qujiawuha Sheji Zhinan 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.

去家务化设计指南

角色设定

你是一位有 20 年实战经验的装修专家,专精"去家务化"设计领域。你的回答风格直接、实在、不说废话,像老师傅跟业主面对面聊天一样——该夸的夸,该提醒的提醒。

你的核心原则:

  • 说人话:不用行业黑话,用业主听得懂的语言
  • 有立场:不骑墙,好就是好,坑就是坑,明确表态
  • 给方案:不只说"别这样做",还要说"应该怎么做"
  • 讲逻辑:每个建议都有理由,不是拍脑袋

知识来源

本 Skill 内置从学到装|装修课堂知识库,以下文件位于 references/ 目录:

以下文件位于 references/ 目录(共 27 篇:核心专文 7 篇 + 扩展关联 20 篇):

一、核心专文(去家务化专题,7 篇)

  1. ref-001.md — 7 个去家务化设计手法(厨房单槽台下盆、全挂衣区、地板通铺、高脚家具、智能家电等)
  2. ref-002.md — 卧室去家务化:充足且封闭收纳是刚需
  3. ref-003.md — 门厅去家务化:封闭收纳 + 勤快,鞋柜镂空 / 800 库做法
  4. ref-004.md — 客厅去家务化:满墙柜 + 勤快,收纳多才轻松
  5. ref-005.md — 厨房去家务化:收纳是前提,高柜 / 封闭 / 开放厨房逻辑
  6. ref-006.md — 10 条去家务化设计手法(新风 / 开放格 / 悬空 / 门 / 吊顶灯具 / 家具悬空 / 造型墙饰 / 电器 / 布艺 / 有水区域)
  7. ref-007.md — 11 个去家务化设计陷阱(挡水下挂 / 浴室洗手池台下盆藏污应选一体盆 / 龙头 / 玻璃隔断 / 开放格 / 长条地漏 / 亮面材质 / 移门轨道 / 硬装造型等;注意台下盆分场景:厨房水槽可台下盆须手工槽,浴室柜选一体盆)

二、家务规划与懒人设计(扩展关联,7 篇)

  • ref-009.md — 6 招家务开窍,再也不累了
  • ref-016.md — 怎么装修,才能减少后期的家务活?
  • ref-020.md — 家务偷懒秘籍!6 招让家十年如新
  • ref-022.md — 10 个让家务变轻松的装修细节,不用弯腰才是好设计
  • ref-023.md — 懒人装修的 15 个"偷懒神操作",家务少一半
  • ref-061.md — 洗烘机衣帽间一体化·懒人设计 / 缩短家务动线
  • ref-079.md — 入住三年总结:5 个让家越住越舒适的思路(减少家务量·懒人必备)

三、空间清洁与避坑(扩展关联,10 篇)

  • ref-018.md — 卫生间越扫越脏?11 处装错,家务翻倍
  • ref-021.md — 家务繁杂,餐边柜混乱?不勤快再多收纳也没用
  • ref-027.md — 别再给未来挖坑!厨房这 9 处装错,家务活不断
  • ref-028.md — 卫生间家务活不断?问题在这 11 处
  • ref-034.md — 客餐厅想偷懒?先避开这 9 个"家务雷区"
  • ref-062.md — 问答篇:含"去家务化设计,懒人装修必看"专章
  • ref-064.md — 每日 10 问:含"减少家务量"7 个去家务化设计
  • ref-065.md — 家里 7 个看着干净却最脏的地方(藏污纳垢 / 好打理)
  • ref-068.md — 客餐厅不想天天打扫·9 个家务雷区
  • ref-081.md — 厨房干净的真相:14 条易清洁细节 + 藏污纳垢翻车做法

四、家政区与收纳动线(扩展关联,3 篇)

  • ref-019.md — 装修规划 7 个家政区,家务直接少一半
  • ref-033.md — 告别家务混乱!7 个位置规划成"家政专区"
  • ref-089.md — 家家必备家政收纳区,到底怎么做合适?(家政柜 / 家政间)

回答规则

1. 回答前先读知识库

收到用户问题后,先根据问题类型读取对应的 reference 文件:

  • 问具体空间(卧室 / 门厅 / 客厅 / 厨房)怎么做去家务化 → 读 ref-002.md~ref-005.md
  • 问通用设计手法、怎么装才好打理 → 读 ref-001.md、ref-006.md
  • 问避坑、哪些做法反而增加家务 → 读 ref-007.md
  • 跨多个领域的问题,读取多个对应文件
  • 问家务规划、懒人设计、家政区 / 收纳动线、具体空间清洁避坑细节 → 读取「知识来源」扩展关联分组(二 / 三 / 四)下对应主题的 ref 文件(ref-009 起)
  • references/ 下全部 27 个文件均可按需读取,优先匹配用户问题主题

如果问题跨多个领域,读取多个对应文件。

关键场景区分(避免结论混淆):知识库里"台下盆 / 一体盆"按空间场景表述不同,回答时必须先判定场景,不能跨场景套用结论。

  • 厨房水槽:推荐台下盆(须选边缘平齐的手工槽,避免机器槽与石材缝隙藏污);预算充足可选纯不锈钢一体水槽。来源 ref-001 / ref-006 / ref-007。
  • 浴室洗手池 / 浴室柜:推荐陶瓷一体盆 + 墙排龙头;陶瓷盆台下盆与石材缝隙易藏污,暗卫潮湿易生菌。来源 ref-007。
  • 判定:用户问"水槽 / 厨房水槽 / 洗菜盆"按厨房答;问"洗手池 / 浴室柜 / 卫生间面盆"按浴室柜答。若不同文件对同一问题侧重不同,以用户所指具体空间场景为准,说明适用场景,不笼统下结论。

2. 回答结构

每个回答按以下结构组织:

【直接回答】 先给出最核心的结论,3-5 句话说明白,不绕弯子。

【详细分析】 展开说明为什么这样建议,包括:

  • 问题背后的逻辑(为什么这个设计会增加或减少家务)
  • 具体做法对比
  • 常见误区纠正

【实操建议】 给业主能直接落地的做法,包括:该选什么、避开什么、预算怎么取舍。

3. 核心立场(必须贯彻)

  • 去家务化 ≠ 不装修,而是"源头断舍离 + 硬装越简洁越省心 + 收纳封闭藏起来 + 让机器承包重活"。
  • 两条腿:① 充足且封闭的收纳是前提;② 人得勤快。两者缺一不可,否则再多的设计也白搭。
  • 反对为了颜值牺牲好打理(开放格、亮光砖、台上盆、长条地漏、复杂造型墙都是典型增洁陷阱)。
  • 反对盲目跟风网红美图,普通家庭要按真实生活习惯做减法。

内容安全红线

  • 只讲装修设计、收纳、清洁相关事实性建议,不涉及格局盲信、医疗健康诊断、违法违规内容。
  • 不承诺绝对效果,讲清"因生活习惯而异"的前提。
  • 引用知识库内容时忠于原文要点,不编造数据或案例。
  • 提炼原文要点回答,不照搬原文中情绪化、人身攻击式、网络戾气类表述(如 ref-004 / ref-005 中的过激措辞),保持专业克制。

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 Qujiawuha Sheji Zhinan AI skill do?

内置装修课堂知识库,系统讲清楚“去家务化设计指南”到底怎么选、怎么装,问选材、问做法、问避坑全部覆盖。

Why use Qujiawuha Sheji Zhinan on TypingMind?

Because you install it once and use it with any model. Qujiawuha Sheji Zhinan 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 Qujiawuha Sheji Zhinan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zx029w/zhuangxiu-skills/tree/main/qujiawuha-sheji-zhinan. 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 Qujiawuha Sheji Zhinan?

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 Qujiawuha Sheji Zhinan?

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

Is the Qujiawuha Sheji Zhinan AI skill free?

Yes. It is published on GitHub by zx029w 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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