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Expert Skills

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.

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Install

npx openskills install https://github.com/AskRoundtable/expert-skills

Works with Claude Code, Cursor, Windsurf, or any SKILL.md-compatible tool.

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Experts

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Examples

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."

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Why Not Just “Act as Munger”?

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).

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Performance

Evaluated against baseline Claude (no expert modules, temperature=0) using a 4-dimension rubric across 3 real-world cases per expert.

Rubric dimensions: pattern recognition accuracy, mental model application, blind spot awareness, and actionability of recommendation.

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How It Works

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.