mental-models
Compare original and translation side by side
🇺🇸
Original
English🇨🇳
Translation
ChineseMental Models
Mental Models
Apply structured thinking frameworks to decisions, problems, and planning.
将结构化思考框架应用于决策、问题解决和规划中。
When This Triggers
触发场景
- "Help me think through X"
- "What mental model should I use?"
- "Apply first principles to this"
- "Do a pre-mortem on this plan"
- "I need to analyze this decision"
- Any specific model name (SWOT, 5 Whys, etc.)
- "帮我梳理X"
- "我应该使用什么Mental Model？"
- "将First Principles应用于此"
- "对这个计划做Pre-Mortem分析"
- "我需要分析这个决策"
- 任何特定模型名称（如SWOT、5 Whys等）
Workflow
工作流程
Step 1: Run Mental Models Scanner
步骤1：运行Mental Models扫描脚本
Run the script to get all available models:
bash
python 00-system/mental-models/scripts/select_mental_models.py --format briefThis returns JSON with all 59 models across 12 categories.
Optional filters:
bash
undefined运行以下脚本获取所有可用模型：
bash
python 00-system/mental-models/scripts/select_mental_models.py --format brief该命令会返回包含12个类别下所有59个模型的JSON数据。
可选筛选器:
bash
undefinedFilter by category
按类别筛选
python 00-system/mental-models/scripts/select_mental_models.py --category cognitive --format brief
python 00-system/mental-models/scripts/select_mental_models.py --category cognitive --format brief
List format (names only, grouped by category)
列表格式（仅显示名称，按类别分组）
python 00-system/mental-models/scripts/select_mental_models.py --format list
---python 00-system/mental-models/scripts/select_mental_models.py --format list
---Step 2: Identify Context and Offer Options
步骤2：识别场景并提供选项
Based on user's situation, offer 2-3 relevant models:
For decisions: Decision Matrix, Pre-Mortem, Cost-Benefit, Inversion
For problems: First Principles, Root Cause (5 Whys), Fishbone
For planning: Scenario Planning, Stakeholder Mapping, OKR
For creativity: Design Thinking, SCAMPER, Lateral Thinking
For risk: Pre-Mortem, Force Field, Red Team, Black Swan
For communication: Pyramid Principle, BLUF, Steel Manning
For learning: Feynman Technique, Deliberate Practice
Present options with brief descriptions (3-7 words each).
根据用户的场景，提供2-3个相关模型：
决策场景：Decision Matrix、Pre-Mortem、Cost-Benefit、Inversion
问题解决场景：First Principles、根本原因分析（5 Whys）、Fishbone
规划场景：Scenario Planning、Stakeholder Mapping、OKR
创意场景：Design Thinking、SCAMPER、Lateral Thinking
风险场景：Pre-Mortem、Force Field、Red Team、Black Swan
沟通场景：Pyramid Principle、BLUF、Steel Manning
学习场景：Feynman Technique、Deliberate Practice
为每个选项提供简短描述（3-7个词）。
Step 3: Load Specific Model File
步骤3：加载特定模型文件
After user selects, load the individual model file:
File structure:
00-system/mental-models/models/{category}/{model-slug}.md| Category | Path |
|---|---|
| Cognitive | |
| Collaborative | |
| Diagnostic | |
| Strategic | |
| Analytical | |
| Creative | |
| Operational | |
| Validation | |
| Time & Resource | |
| Communication | |
| Learning | |
| Probability & Risk | |
Example:
User picks: "First Principles + Pre-Mortem"
AI loads:
→ Read: 00-system/mental-models/models/cognitive/first-principles.md
→ Read: 00-system/mental-models/models/diagnostic/pre-mortem.md用户选择后，加载对应的单个模型文件：
文件结构：
00-system/mental-models/models/{category}/{model-slug}.md| 类别 | 路径 |
|---|---|
| Cognitive | |
| Collaborative | |
| Diagnostic | |
| Strategic | |
| Analytical | |
| Creative | |
| Operational | |
| Validation | |
| Time & Resource | |
| Communication | |
| Learning | |
| Probability & Risk | |
示例:
用户选择: "First Principles + Pre-Mortem"
AI加载:
→ 读取: 00-system/mental-models/models/cognitive/first-principles.md
→ 读取: 00-system/mental-models/models/diagnostic/pre-mortem.mdStep 4: Apply Model Questions
步骤4：应用模型问题
Use the question templates from the loaded model file to guide the user through structured thinking.
Each model file contains:
- Purpose: What the model does
- When to Use: Best situations for this model
- Questions to Ask: Ready-to-use prompts
- Process: Step-by-step application
- Output: What you get from using it
Keep it collaborative - this is a conversation, not an interrogation.
使用加载的模型文件中的问题模板引导用户进行结构化思考。
每个模型文件包含：
- Purpose（用途）: 该模型的作用
- When to Use（适用场景）: 该模型的最佳应用场景
- Questions to Ask（提问模板）: 可直接使用的提示语
- Process（流程）: 分步应用指南
- Output（输出）: 使用该模型可获得的结果
保持协作性——这是一场对话，而非审问。
Quick Reference
快速参考
12 Categories (59 Models):
- Cognitive - First Principles, Systems Thinking, Lateral Thinking, Inversion, Second-Order Thinking, Analogous Reasoning
- Collaborative - Six Hats, MECE, Stakeholder Mapping, Devil's Advocate
- Diagnostic - 5 Whys, Fishbone, Pre-Mortem, Force Field, Fault Tree
- Strategic - Scenario Planning, OODA, Jobs to Be Done, Blue Ocean, PESTLE, Porter's Five Forces
- Analytical - Decision Matrix, SWOT, Cost-Benefit, Pareto, Assumption Testing, Sensitivity Analysis
- Creative - Design Thinking, SCAMPER, Morphological, Random Entry, Constraint Removal
- Operational - Kanban, Value Stream, OKR, Lean Canvas, Theory of Constraints
- Validation - Hypothesis Testing, Prototyping, Red Team, A/B Testing
- Time & Resource - Eisenhower Matrix, Time Boxing, Opportunity Cost, Sunk Cost, Resource Mapping
- Communication - Pyramid Principle, BLUF, Situation-Complication-Resolution, Steel Manning
- Learning - Feynman Technique, Spaced Repetition, Deliberate Practice, T-Shaped Skills
- Probability & Risk - Expected Value, Margin of Safety, Black Swan, Bayesian Updating, Regret Minimization
12个类别（共59个模型）:
- Cognitive（认知类） - First Principles、Systems Thinking、Lateral Thinking、Inversion、Second-Order Thinking、Analogous Reasoning
- Collaborative（协作类） - Six Hats、MECE、Stakeholder Mapping、Devil's Advocate
- Diagnostic（诊断类） - 5 Whys、Fishbone、Pre-Mortem、Force Field、Fault Tree
- Strategic（战略类） - Scenario Planning、OODA、Jobs to Be Done、Blue Ocean、PESTLE、Porter's Five Forces
- Analytical（分析类） - Decision Matrix、SWOT、Cost-Benefit、Pareto、Assumption Testing、Sensitivity Analysis
- Creative（创意类） - Design Thinking、SCAMPER、Morphological、Random Entry、Constraint Removal
- Operational（运营类） - Kanban、Value Stream、OKR、Lean Canvas、Theory of Constraints
- Validation（验证类） - Hypothesis Testing、Prototyping、Red Team、A/B Testing
- Time & Resource（时间与资源类） - Eisenhower Matrix、Time Boxing、Opportunity Cost、Sunk Cost、Resource Mapping
- Communication（沟通类） - Pyramid Principle、BLUF、Situation-Complication-Resolution、Steel Manning
- Learning（学习类） - Feynman Technique、Spaced Repetition、Deliberate Practice、T-Shaped Skills
- Probability & Risk（概率与风险类） - Expected Value、Margin of Safety、Black Swan、Bayesian Updating、Regret Minimization
Notes
注意事项
- Always offer choice, never prescribe
- Run script first to see all available models
- Load individual model files only after user selects
- Combine models when appropriate (e.g., First Principles + Pre-Mortem)
- Adapt formality to user's context
- 始终提供选择，而非强制指定
- 先运行脚本查看所有可用模型
- 仅在用户选择后加载单个模型文件
- 适当时可组合多个模型（如First Principles + Pre-Mortem）
- 根据用户场景调整正式程度