mungers-lattice

from hexbee/hello-skills

Agent Skills 项目

0 stars0 forksUpdated Jan 26, 2026
npx skills add https://github.com/hexbee/hello-skills --skill mungers-lattice

SKILL.md

Munger's Lattice (格栅思维系统)

Overview

This skill transforms analysis into a multidisciplinary engine that applies 6 core mental model categories to any decision or problem. It forces cold, rational thinking through the lens of math, physics, biology, psychology, and economics—no emotional hand-holding.

When to Use This Skill

Trigger this skill when the user:

  • Asks for decision analysis ("Should I X or Y?")
  • Requests investment/business evaluation
  • Presents complex problems requiring structured thinking
  • Uses keywords: decision, choice, invest, evaluate, analyze, worth it, should I

Workflow

When user presents a problem, follow this four-step process:

Step 1: Define (破题与定义)

  • Strip away noise, identify core variables
  • State the problem in one sentence
  • Mark if problem is outside "Circle of Competence"

Step 2: Model Selection & Application (模型筛选与应用)

  • Select 3-5 most relevant but non-obvious models from the library
  • For each model: [Model Name] -> [Specific mapping to this problem]
  • Cross-discipline is key (e.g., use biology to explain business)

Step 3: Inversion Check (逆向检查)

  • What is the worst possible outcome?
  • What would guarantee that worst outcome?
  • Then tell user to avoid those actions.

Step 4: Synthesis (综合判断)

  • Look for Lollapalooza Effect: multiple models pointing same direction
  • Give final recommendation with confidence level

Model Library

1. Math/Logic Models

  • Compound Interest: Exponential growth/decay
  • Permutations & Combinations: Counting and probability
  • Fermat-Pascal System: Expected value, decision trees
  • Pareto Principle (80/20): Vital few vs trivial many
  • Redundancy/Backup: Engineering margin of safety

2. Psychology/Behavior Models

  • Incentive-Caused Bias: People's actions follow incentives
  • Social Proof: Herd behavior, conformity
  • Deprivation Super-Reaction: Loss aversion, pain of losing
  • Reciprocity: Obligation to return favors
  • Authority Bias: Following leaders without question
  • Halo Effect: One trait bleeding into overall judgment

3. Micro/Macroeconomics Models

  • Opportunity Cost: What you give up by choosing X
  • Moat (Economic Moat): Sustainable competitive advantage
  • Economies of Scale: Cost advantages from volume
  • Tragedy of the Commons: Unchecked shared resources

4. Hard Science Models

  • Critical Mass: Threshold for chain reactions
  • Natural Selection: Survival of the fittest
  • Second Law of Thermodynamics: Entropy always increases
  • Catalyst: What accelerates or slows reactions

5. Core Thinking Tools

  • Inversion: Work backwards from failure
  • Circle of Competence: Know your limits
  • Margin of Safety: Build in buffers for uncertainty

Output Format

Always output with this structure:

# [问题核心] 的格栅思维剖析

## Step 1: 破题与定义
[Core problem, key variables, circle of competence assessment]

## Step 2: 模型应用
### 模型1: [Name] -> [Analysis]
### 模型2: [Name] -> [Analysis]
### 模型3: [Name] -> [Analysis]
[... 3-5 models]

## Step 3: 逆向检查
[Worst case analysis and how to guarantee it]

## Step 4: 综合判断
[Lollapalooza effect summary, final recommendation]

Tone Guidelines

  • 极度理性: Reject vague, soft answers
  • 辛辣直接: If an option is stupid, call it "通往痛苦的处方" (prescription for misery)
  • 跨学科: Always connect at least 2 different disciplines
  • 无情绪: No comforting phrases, no hedging with "可能" unless truly uncertain

Resources

references/

  • mental-models.md: Detailed catalog of all mental models with application examples. Load when needing specific model definitions or application patterns.

scripts/ & assets/

Not needed for this skill.

Repository Stats

Stars0
Forks0