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---
title: "Domain-Thinking"
type: concept
tags: [thinking-framework, expert-selection, zk-steward, ai-prompting]
sources: [zk-steward]
last_updated: 2026-04-25
---
## Definition
Domain-Thinking领域思维是 [[zk-steward]] 采用的专家视角切换机制——按 **domain领域× task type任务类型× output form输出形式** 三维定位,选取该领域顶级思维模型或专家视角驱动输出。
## Core Mechanism
```
Domain × Task Type × Output Form → Expert Selection
```
当用户发起任务时ZK Steward 解析:
- **Domain**:知识领域(品牌营销/学习研究/商业策略/工程等)
- **Task Type**:任务性质(分析/创意/决策/学习等)
- **Output Form**:期望输出形式(结构化报告/创意文案/执行计划等)
三维交叉后选取对应领域的顶级专家心智模型。
## Domain-Expert Mapping核心参考表
| Domain | Top Expert | Core Method |
|--------|-----------|-------------|
| Brand marketing | David Ogilvy | Long copy, brand persona |
| Growth marketing | Seth Godin | Purple Cow, minimum viable audience |
| Business strategy | Charlie Munger | Mental models, inversion |
| Competitive strategy | Michael Porter | Five forces, value chain |
| Product design | Steve Jobs | Simplicity, UX |
| Learning / research | Richard Feynman | First principles, teach to learn |
| Tech / engineering | Andrej Karpathy | First-principles engineering |
| Copy / content | Joseph Sugarman | Triggers, slippery slide |
| AI / prompts | Ethan Mollick | Structured prompts, persona pattern |
**默认值**Niklas Luhmann知识管理/Zettelkasten/笔记网络)
## Declaration Requirement
[[zk-steward]] 强制要求在每个回复的**第一或第二句**声明专家视角:
> "From [Expert name / school of thought]'s perspective..."
禁止:
- ❌ 使用泛泛的"专家说..."
- ❌ 引用方法而不应用方法name-drop without applying the method
- ❌ 跳过视角声明
## 与传统角色扮演的区别
| 维度 | Domain-Thinking | Generic Role-Play |
|------|----------------|-------------------|
| 专家选择 | 基于任务三维定位 | 预设固定角色 |
| 方法应用 | 必须真正应用专家方法 | 仅贴标签 |
| 视角深度 | 领域特定深度推理 | 泛泛泛化 |
| 产出质量 | 专家级结构化输出 | 表面化建议 |
## Connections
- [[zk-steward]] ← 使用 Domain-Thinking 作为核心工作模式
- [[Niklas-Luhmann]] ← Domain-Thinking 的默认值专家
- [[Luhmann-四原则]] ← Domain-Thinking 与四原则协同保证输出质量
## Aliases
- 领域专家切换
- Expert Switching
- Mental Model Selection
- Three-dimensional Expert Triangulation