Munger Lens is a cognitive framework for AI agents based on Charlie Munger's multidisciplinary mental models and rational decision-making principles.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install munger-lens
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install munger-lens using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Munger Lens?
Munger Lens is a specialized cognitive skill designed to integrate the wisdom of Charlie Munger into AI decision-making workflows. It leverages a latticework of mental models spanning economics, psychology, physics, and biology to provide a multi-dimensional perspective on any given problem. By utilizing this skill, users can transform their AI agents into sophisticated analysts capable of avoiding common cognitive biases and identifying high-probability opportunities for long-term success.
This Openclaw Skills integration focuses on practical wisdom, emphasizing the importance of understanding one's circle of competence and applying the principle of inversion. Instead of merely seeking success, the Munger Lens forces the agent to identify and eliminate potential causes of failure, ensuring a robust margin of safety in every output and recommendation.
Munger Lens Use Cases
- Business Strategy Evaluation: Analyze the long-term viability and competitive moats of a business model.
- Investment Risk Analysis: Identify potential pitfalls and psychological biases in financial decision-making.
- Long-term Strategic Planning: Design systems and roadmaps that benefit from compounding and margin of safety.
- Cognitive Bias Mitigation: Run a 25-point checklist to detect and counteract human misjudgment in reports.
- Complex Problem Solving: Use multidisciplinary analogies to simplify and solve intricate organizational challenges.
How Munger Lens Works
- Inversion Phase: The skill begins by identifying what would cause the project or decision to fail rather than just looking for success paths.
- Multidisciplinary Filtering: The problem is passed through a latticework of 80-90 models from fields like engineering (redundancy), chemistry (autocatalysis), and psychology.
- Circle of Competence Check: The agent evaluates if the request falls within its known data boundaries or if it needs to flag uncertainty.
- Checklist Validation: A rigorous investment and life-decision checklist is applied to ensure no "stupid" mistakes are made.
- Rational Synthesis: The final output is delivered in a concise, direct style, emphasizing long-term compounding and honesty.
Munger Lens Setup
To integrate the Munger Lens into your existing agent environment, use the standard Openclaw Skills installation pattern:
# Install the Munger Lens skill via Openclaw
openclaw install skill munger-lens
# Activate the lens in your session
openclaw activate munger-lens
Once installed, you can trigger the framework by prefixing your queries with "Use the Munger Lens to look at this problem...".
Munger Lens Data Schema & Taxonomy
The Munger Lens skill organizes its internal logic and output metadata according to the following taxonomy:
| Component | Description | Metadata Key |
|---|---|---|
| Inversion Logic | List of failure points identified | avoidance_list |
| Latticework Models | Specific disciplines applied (e.g., Math, Bio) | applied_disciplines |
| Circle Audit | Confidence score based on data boundaries | competence_score |
| Bias Check | Indicators of the 25 human misjudgments | bias_detection_map |
| Safety Margin | Calculation of redundancy or conservative buffers | margin_of_safety |
Munger Lens Advanced Features
- Inversion Engine: Automatically generates a "Stop-Doing List" for any project roadmap.
- Multidisciplinary Analogies: Cross-references engineering principles with economic trends for unique insights.
- Psychology of Human Misjudgment Audit: A deep-scan feature that identifies social proof, authority bias, and 23 other biases in text.
- Opportunity Cost Calculator: Forces the agent to compare the current task against the next best alternative.
- Anti-Pattern Detection: Strictly blocks the agent from analyzing areas outside its competence, such as hyper-volatile tech trends or irrational leverage.
SKILL.md
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