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zbbsdsbzbbsdsb/solo-corn-skills/mental-models/SKILL.md

Mental Models Library

Skill7 starsChanged 5 months agoMITView on GitHub

A comprehensive thinking toolkit providing cognitive frameworks and mental models for better decision-making, problem-solving, and strategic reasoning.

The file

We split this skill into the rules it gives an agent

7 rules. About 0 are common, 7 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

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  • Common
  • Distinctive
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  1. Distinctive:

    Falsifiability: Prefer models with clear conditions for failure

    line 52
  2. Distinctive:

    Multi-Perspective: Use multiple models for important decisions

    line 53
  3. Distinctive:

    Second-Order Thinking: Consider consequences of consequences

    line 56
  4. Distinctive:

    Apply and Combine: Use multiple models for robust analysis

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  5. Distinctive:

    Review and Iterate: Update mental models based on outcomes

    line 72
  6. Distinctive:

    Validation: Test predictions against outcomes

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  7. Distinctive:

    All mental models in this library are evaluated against:

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≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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Files
SKILL.md

Mental Models Library

Overview

The Mental Models Library is a curated collection of cognitive frameworks designed to enhance thinking quality across diverse domains. It serves as a practical reference for navigating complex problems, making better decisions, and understanding the world more clearly.

Purpose

This skill provides:

  • Quick Reference: Fast access to essential mental models when needed
  • Deep Understanding: Comprehensive explanations of why each model works
  • Practical Application: Clear guidance on when and how to apply each model
  • Cross-Domain Coverage: Models spanning decision-making, strategy, systems thinking, psychology, and execution

Architecture

mental-models/
├── SKILL.md                    # This file - skill overview and index
├── core-philosophy.md          # Foundation - why mental models matter
└── references/
    ├── decision-reasoning/     # Models for clear thinking and choice
    ├── strategy-competition/    # Frameworks for competitive advantage
    ├── systems-complexity/     # Understanding interconnected systems
    ├── psychology-behavior/    # Human behavior and cognition models
    ├── execution-learning/     # Implementation and improvement
    ├── navigation/             # Life decisions and direction
    ├── combinations/           # Using multiple models together
    ├── templates/              # Application frameworks and checklists
    └── integration/            # Meta-frameworks for model selection

Core Principles

  1. Falsifiability: Prefer models with clear conditions for failure
  2. Multi-Perspective: Use multiple models for important decisions
  3. Appropriateness: Match model complexity to problem complexity
  4. Probabilistic Thinking: Embrace uncertainty and update beliefs
  5. Second-Order Thinking: Consider consequences of consequences

Quick Start

For immediate use:

  1. Identify the Problem Type:
    • Decision under uncertainty → See decision-reasoning/
    • Competitive dynamics → See strategy-competition/
    • Complex systems behavior → See systems-complexity/
    • Understanding people → See psychology-behavior/
    • Execution and improvement → See execution-learning/
    • Life and career choices → See navigation/
  2. Select Relevant Models: Browse the appropriate category
  3. Apply and Combine: Use multiple models for robust analysis
  4. Review and Iterate: Update mental models based on outcomes

Model Categories

Decision & Reasoning

Frameworks for clearer thinking and better choices:

  • Probabilistic thinking
  • Inversion
  • First principles
  • Occam's razor
  • Hanlon's razor

Strategy & Competition

Tools for understanding competitive dynamics:

  • Game theory basics
  • Comparative advantage
  • Moat theory
  • Two-sided markets
  • Disruption patterns

Systems & Complexity

Understanding interconnected phenomena:

  • Feedback loops
  • Emergence
  • Network effects
  • Stocks and flows
  • Punctuated equilibrium

Psychology & Behavior

Models of human cognition and behavior:

  • Cognitive biases
  • Motivation mechanisms
  • Social dynamics
  • Emotional influences
  • Behavioral patterns

Execution & Learning

Frameworks for action and improvement:

  • OODA loops
  • PDCA cycles
  • Deliberate practice
  • Feedback systems
  • Experimentation

Usage Guidelines

When to Use Mental Models

  • Facing important decisions with uncertain outcomes
  • Analyzing complex problems with multiple variables
  • Trying to understand others' behavior or motivations
  • Planning strategy or evaluating competitive positions
  • Learning from successes or failures
  • Seeking to improve thinking quality

How to Use This Library

  1. Recognition: Identify patterns in your situation
  2. Selection: Choose relevant models from the library
  3. Application: Apply models systematically to your context
  4. Integration: Combine models for richer understanding
  5. Validation: Test predictions against outcomes

Model Selection Heuristic

SituationPrimary Models
Uncertain decisionProbabilistic thinking, Bayes, Expected value
Complex problemSystems thinking, First principles
Understanding peoplePsychology-behavior models
Competitive situationGame theory, Strategy frameworks
Implementation challengeExecution-learning frameworks
Life decisionsNavigation models

Quality Standards

All mental models in this library are evaluated against:

  • Explanatory Power: Does it explain real-world phenomena?
  • Predictive Accuracy: Does it generate useful predictions?
  • Actionable Guidance: Can it inform better decisions?
  • Boundary Conditions: Where does it break down?
  • Complementary Models: What does it not cover?

Maintenance

This library is a living resource. Models are:

  • Regularly reviewed for accuracy and relevance
  • Updated with new examples and applications
  • Enhanced with cross-references and combinations
  • Extended with emerging research and frameworks

Related Skills

  • Critical Thinking: General reasoning and analysis
  • Strategic Planning: Long-term planning frameworks
  • Systems Design: Building complex systems
  • Leadership: Applying models in organizational contexts

References

This library draws from diverse sources:

  • Decision science and behavioral economics
  • Game theory and competitive strategy
  • Systems theory and complexity science
  • Cognitive psychology and neuroscience
  • Philosophy of science and epistemology
  • Military strategy and tactics

Interface Definition

Metadata

{
  "name": "mental-models",
  "version": "2.0.0",
  "description": "Comprehensive thinking toolkit with 45+ cognitive frameworks",
  "author": "SOLO CORN SKILLS",
  "category": ["thinking", "frameworks"],
  "tags": ["mental-models", "decision-making", "cognitive-frameworks"]
}

Input Schema

{
  "inputs": [
    {
      "name": "situation",
      "type": "string",
      "required": true,
      "description": "Situation or problem to think about"
    },
    {
      "name": "category",
      "type": "string",
      "required": false,
      "description": "Model category (decision-reasoning, strategy-competition, systems-complexity, psychology-behavior, execution-learning)"
    },
    {
      "name": "specificModel",
      "type": "string",
      "required": false,
      "description": "Specific model to use (e.g., first-principles, swot-analysis)"
    }
  ]
}

Output Schema

{
  "outputs": [
    {
      "name": "models",
      "type": "array",
      "description": "Recommended mental models with explanations"
    },
    {
      "name": "application",
      "type": "object",
      "description": "How to apply the models to your situation"
    },
    {
      "name": "insights",
      "type": "array",
      "description": "Key insights from model application"
    }
  ]
}

Invoke Method

async invoke(params: InvocationParams): Promise<SkillResult> {
  // Execute mental model selection and application
  // 1. Analyze situation and identify problem type
  // 2. Select relevant models from library
  // 3. Provide model explanations and context
  // 4. Guide application to user's situation
  // 5. Return results with insights
}

Usage via CLI

# Basic invocation
scs invoke mental-models --input '{"situation": "Making a major career decision"}'

# Interactive mode
scs invoke mental-models --interactive

# With specific category or model
scs invoke mental-models --input '{"situation": "Competitive strategy", "category": "strategy-competition"}'
scs invoke mental-models --input '{"situation": "My problem", "specificModel": "first-principles"}'

# Also available via scs models commands
scs models list
scs models show first-principles
scs models search "decision"

Last Updated: 2026-05-26 Version: 2.0.0

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