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mental-models

@cyperx84/claude-skills-mental-models
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Apply Charlie Munger's latticework of mental models to any problem. Use when user requests decision analysis, says "help me think", "apply mental model", mentions model names (inversion, bottlenecks, second-order thinking), or needs structured thinking frameworks.

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SKILL.md

name mental-models
description Apply Charlie Munger's latticework of mental models to any problem. Use when user requests decision analysis, says "help me think", "apply mental model", mentions model names (inversion, bottlenecks, second-order thinking), or needs structured thinking frameworks.

Mental Models

Apply 98 cognitive frameworks from multiple disciplines to analyze problems, make decisions, and think more clearly.

Quick Reference

Models by Category:

  • General Thinking (m01-m09): First principles, inversion, second-order thinking
  • Science (m10-m29): Leverage, inertia, feedback loops, ecosystems
  • Systems Thinking (m30-m40): Bottlenecks, scale, margin of safety, emergence
  • Mathematics (m41-m47): Randomness, regression to mean, local vs global maxima
  • Economics (m48-m59): Trade-offs, scarcity, creative destruction
  • Art (m60-m70): Framing, audience, contrast
  • Strategy (m71-m75): Asymmetric warfare, seeing the front
  • Human Nature (m76-m98): Biases, incentives, social proof

How to Use

Quick Apply

When user mentions a specific model + context:

  1. Load the model file from models/ directory
  2. Read: Description, Thinking Steps, When to Avoid
  3. Apply Thinking Steps to user's context
  4. Provide 3-5 actionable insights
  5. Note any cautions from "When to Avoid"

Example: "Apply inversion to this architecture decision"

Discovery

When user asks "what models for X":

  1. Search resources/model-index.json for matching keywords
  2. Return top 5 relevant models with brief descriptions
  3. Offer to quick-apply any of them

Example: "What mental models help with scaling?"

Deep Analysis

When user has complex decision:

  1. Ask 2-3 clarifying questions
  2. Select max 3 most relevant models
  3. Apply each model's Thinking Steps systematically
  4. Synthesize insights across models
  5. Provide actionable recommendations

Example: "Help me think through whether to accept this job offer"

Model File Structure

Each model in models/ contains:

  • Description: Core concept
  • When to Avoid: Limitations
  • Keywords: Application contexts
  • Thinking Steps: Sequential framework (follow exactly)
  • Coaching Questions: Prompts for deeper exploration

Key Guidelines

  1. Quality over quantity: Max 3 models per analysis
  2. Follow Thinking Steps exactly: That's where the value is
  3. Check "When to Avoid": Alert user if model doesn't fit
  4. Latticework approach: Show how models connect
  5. Be actionable: Provide concrete insights, not just theory

Resources

  • resources/model-index.json - Searchable index of all 98 models
  • resources/quick-reference.md - Common patterns and model combinations