rt-munger

Analyze investment decisions for cognitive biases and failure modes.

28|11|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/risingdream/roundtable --skill rt-munger
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rt-munger
Source: https://github.com/risingdream/roundtable/tree/main/skills/investors/rt-munger
Command: npx skills add https://github.com/risingdream/roundtable --skill rt-munger

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you make higher-quality investment and decision choices by applying Charlie Munger’s multidisciplinary mental models to identify hidden risks, cognitive biases, and the ways your plan can fail.

Core Features & Use Cases

  • Inversion-first reasoning: Finds the wrong ways to think and the failure modes that guarantee bad outcomes, then works backward to what to do instead.
  • Cognitive-bias detection: Scans for the specific biases (and “lollapalooza” combinations) that commonly distort judgment in investing and business decisions.
  • Circle-of-competence discipline: Encourages staying inside what you can truly evaluate, using margin of safety, opportunity cost, and “too hard” triage.

Use cases: stock and thesis review, capital allocation decisions, evaluating business models for moat and incentive fit, and decision-making quality checks under uncertainty.

Quick Start

Ask rt-munger to analyze your investment decision by first listing the most likely ways it could go wrong, the cognitive biases involved, and then proposing what evidence would change its conclusion.

Frequently Asked Questions about rt-munger

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I apply inversion to investment analysis and identify bad decision-making?

Inversion-based investment analysis diagnoses failure modes by first identifying the wrong ways to think and the cognitive biases that guarantee bad outcomes, then working backward to determine what to do instead for higher-quality choices.

What cognitive biases distort equity research and how can I detect them?

Cognitive-bias detection scans for specific biases and lollapalooza combinations that commonly distort judgment in investing, evaluating how these psychological factors impact your equity research and capital allocation decisions.

When do I need margin of safety reasoning for evaluating business models?

You need margin of safety reasoning when evaluating business models for moat and incentive fit, using circle-of-competence discipline and opportunity cost to stay inside what you can truly evaluate under uncertainty.

Does multidisciplinary mental-models analysis work for capital allocation tradeoffs?

Yes, multidisciplinary mental-models analysis applies to evaluating capital allocation tradeoffs by scanning for hidden incentive structures, cognitive biases, and margin-of-safety reasoning where hidden incentives and judgment distortions can dominate outcomes.

What is the best way to triage too hard investment decisions under uncertainty?

The best way to triage too hard investment decisions is applying circle-of-competence discipline to identify opportunities beyond your evaluation capacity, then using margin of safety and opportunity cost reasoning to reject them.

Why does inversion-based reasoning help with stock thesis review?

Inversion-based reasoning helps with stock thesis review by diagnosing the failure modes and cognitive biases behind bad decision-making, finding the wrong ways to think before proposing what evidence would change the conclusion.