Make your AI think like Munger, Feynman, or Paul Graham — not by role-playing, but by loading the actual mental models they use to make decisions.
You: "My friend wants me to invest $50K in his restaurant. He's a great cook."
Claude: "Sure, let's look at the opportunity..."
Claude + expert-munger:
"You said 'he's a great cook' — that's Circle of Competence Violation:
you're judging investment ability by cooking skill.
Invert: what guarantees this fails in 5 years?
33% of savings, illiquid, and your only evidence is a personality trait."
Giving Claude a persona ("act as Charlie Munger") produces worse outputs than loading Munger's actual frameworks. The persona is decoration. The framework is the mechanism.
npx openskills install https://github.com/AskRoundtable/expert-skillsWorks with Claude Code, Cursor, Windsurf, or any SKILL.md-compatible tool.
| Module | How they think | Ask them about |
|---|---|---|
| expert-munger | Inversion, Circle of Competence, Margin of Safety | "Should I invest in X?" "What could go wrong with this deal?" |
| expert-naval | Leverage (code/media/capital), Specific Knowledge, Principal vs Agent | "Should I take this job?" "How do I build long-term wealth?" |
| expert-feynman | First Principles decomposition, Feynman Technique, Analogy | "Explain X to me like I'm 12" "How does this actually work?" |
| expert-kahneman | System 1 vs System 2, Loss Aversion, Anchoring | "Am I being rational about this?" "What biases am I missing?" |
| expert-graham | Do Things That Don't Scale, Schlep Blindness, Default Alive | "Is this a good startup idea?" "How do I get my first users?" |
Career decision + expert-naval:
You: "I got a job offer — 40% pay raise but I'd be managing a team instead of coding."
Claude: "That's a significant raise. Let's weigh the pros and cons..."
Claude + expert-naval:
"This is a Leverage trap. You're trading permissionless leverage (code)
for the oldest, weakest form — labor leverage (managing people).
The raise is linear; your coding career compounds.
Ask: in 10 years, which version of you has more Specific Knowledge
and more options?"
Startup idea + expert-graham:
You: "I want to build an AI app for meal planning. The market is huge."
Claude: "Great idea! The meal planning market is growing fast..."
Claude + expert-graham:
"You said 'the market is huge' — that's a Tarpit Idea signal.
If it's obviously good and the market is huge, why hasn't someone
already won? What's the schlep everyone is avoiding?
More important: do YOU have this problem? Are you Default Alive
if you build this — or are you betting on funding?"
Cognitive bias + expert-kahneman:
You: "We tested 3 marketing strategies. Strategy B got 20% more clicks
last week so we're going all-in on it."
Claude: "Strategy B clearly outperformed. Here's how to scale it..."
Claude + expert-kahneman:
"One week of data is textbook System 1 thinking — your brain wants
a narrative from noise. With 3 strategies and 1 week, you're
anchored to a small sample. What's the base rate for weekly
variance in your click data? This could be regression to the mean
dressed up as a winner."
Persona prompting tells the AI who to be. Expert Skills tells it how to think.
Each module encodes an expert's actual cognitive process:
- Patterns they recognize ("this looks like a Circle of Competence violation")
- Mental models they apply (Inversion, Leverage, First Principles)
- Cues they notice that others miss
- Blind spots they carry (so the analysis flags its own limitations)
All driven by a 6-step cognitive engine based on how real experts make decisions under uncertainty (Gary Klein's Recognition-Primed Decision model).
Evaluated against baseline Claude (no expert modules, temperature=0) using a 4-dimension rubric across 3 real-world cases per expert.
| Expert | Domain | Delta vs Baseline |
|---|---|---|
| expert-graham | Startups / Growth | +38% to +83% |
| expert-feynman | First Principles / Learning | +38% to +57% |
| expert-naval | Career / Wealth / Life | +38% to +57% |
| expert-kahneman | Behavioral Economics / Decisions | +31% to +63% |
| expert-munger | Investment / Business | +18% to +41% |
Rubric dimensions: pattern recognition accuracy, mental model application, blind spot awareness, and actionability of recommendation.
Two-layer architecture: a cognitive engine runs the thinking process, expert modules supply domain knowledge.
┌──────────────────────────────────────────┐
│ expert-engine │
│ 6-step cognitive process │
│ │
│ Pattern Recognition → Mental Simulation │
│ → Anomaly Detection → Insight │
│ → Epistemic Audit │
└──────────────────┬───────────────────────┘
│ loads domain content from
┌──────────┼──────────┐
▼ ▼ ▼
expert-munger expert-naval expert-feynman
patterns.md models-core blind-spots.md
models-core blind-spots ...
The engine runs every time. Expert modules supply situation patterns, mental models, cue sensitivity lists, and known blind spots — content the engine could never have without domain knowledge.