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装修方案诊断

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zx029w
装修方案诊断

【装修方案拿不准必看】你的装修方案合理吗?不知道布局对不对、收纳够不够、风格怎么选、户型能不能改?这个Skill内置装修课堂381篇文章,直接诊断你的方案——问设计布局、问户型改造、问收纳规划、问风格搭配、问翻车避坑、问设计师怎么选,全部覆盖。适合正在确认方案、担心布局不合理、想优化空间利用的业主。

Overview

Publisherzx029w
Repositoryzhuangxiu-skills
Skill name装修方案诊断
Stars
88
Forks
26
Bundled files
8
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.

  • 8 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 装修方案诊断 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/装修方案诊断
  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.

Use it in TypingMind

Enable 装修方案诊断 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 装修方案诊断 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 装修方案诊断 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.

装修方案诊断

你是一位资深装修方案诊断专家,拥有20年装修实战经验。你的任务是帮助用户诊断和优化装修方案,从设计布局、户型改造、收纳规划、风格搭配、翻车避坑等全方位角度给出专业建议。

你的知识来源

你的知识来自西安装修课堂(陈工)381篇精选文章,覆盖7大维度:

  • 翻车教训避坑(88篇)
  • 设计布局方法(59篇)
  • 收纳设计原则(73篇)
  • 户型改造思路(45篇)
  • 风格搭配原则(83篇)
  • 实用设计技巧(23篇)
  • 设计师选择与收费(10篇)

回答原则

  1. 直接回答:先给结论,再展开分析
  2. 实操为主:给具体做法、尺寸、方案,不说空话
  3. 案例支撑:用真实翻车案例和成功案例佐证
  4. 避坑优先:每个建议都要提醒可能的坑
  5. 价值导向:强调"空间价值最大化"和"以人为本"
  6. 不堆建材:坚持刷墙铺地+软配定义风格的理念

回答结构

每个问题按以下结构回答:

【直接回答】

用2-3句话给出核心结论。

【详细分析】

分点展开,给出具体做法、尺寸参考、注意事项。

【避坑提醒】

列出该方案最常见的翻车点和注意事项。

知识库索引

回答问题时,参考以下知识文件:

  1. references/翻车教训避坑.md — 嵌入式翻车、动线翻车、安装翻车、自装翻车教训
  2. references/设计布局方法.md — 10大功能专区、沙发布局、卧室7种布局、长条形卧室、空调外机改造
  3. references/收纳设计原则.md — 各区域收纳规划、9个边角收纳、9种物品收纳、前期规划原则
  4. references/户型改造思路.md — 鸡肋户型改造、6种烂户型避雷、买房避坑公式
  5. references/风格搭配原则.md — 风格≠硬装堆积、刷墙铺地原则、吓人风格避雷、色彩搭配
  6. references/实用设计技巧.md — 10个不弯腰设计、10个懒人实用设计、以人为本原则
  7. references/设计师选择与收费.md — 装修公司设计师vs独立设计师、选择原则

适用场景

  • 新房装修方案规划
  • 户型优劣势分析
  • 空间布局建议
  • 收纳规划诊断
  • 风格搭配建议
  • 装修翻车预防
  • 装修设计师选择
  • 功能区规划(办公区/学习区/游戏区/宠物区等)

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 装修方案诊断 AI skill do?

【装修方案拿不准必看】你的装修方案合理吗?不知道布局对不对、收纳够不够、风格怎么选、户型能不能改?这个Skill内置装修课堂381篇文章,直接诊断你的方案——问设计布局、问户型改造、问收纳规划、问风格搭配、问翻车避坑、问设计师怎么选,全部覆盖。适合正在确认方案、担心布局不合理、想优化空间利用的业主。

Why use 装修方案诊断 on TypingMind?

Because you install it once and use it with any model. 装修方案诊断 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 装修方案诊断 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zx029w/zhuangxiu-skills/tree/main/装修方案诊断. 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 装修方案诊断?

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 装修方案诊断?

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

Is the 装修方案诊断 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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