The Seth Klarman
Framework
Margin of Safety & Patient Capital
Seth Klarman built capital over decades by applying specific, repeatable mental models to uncertainty. Seth Klarman's investing thinking, captured in this framework as mental models, decision heuristics, and the signature questions they would ask.
The margin of safety & patient capital framework distils Seth Klarman's documented approach into a .md skill file you can load into Claude, ChatGPT, or any LLM in seconds.
Where most AI personas generate generic output, this framework is grounded in real documented work: interviews, writing, published frameworks, and the specific decisions Seth Klarman made when it mattered. Use it for decision-making, writing, strategy, or any situation where you want your AI to think with Seth Klarman's distinctive patterns rather than a default model voice.
A glimpse of Seth Klarman's thinking.
Markets are inefficient and driven by human psychology, creating opportunities for disciplined investors who can wait indefinitely for the right price. Risk comes from paying too much, not from volatility, and the best defense against uncertainty is buying assets for significantly less than they're worth.
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Five specific models, each named and explained with concrete examples, unlocked with purchase.
"What am I getting for free that others are ignoring or can't access?"
4 more questions in Seth Klarman's voice are unlocked with purchase.
Full list of anti-patterns unlocked with purchase.
The full framework adds: detailed explanations of all five mental models with real-world examples, the decision heuristics Seth Klarman actually used, remaining signature questions, the complete list of anti-patterns, a copy-paste activation prompt, and a worked example.
Unlocked the moment you purchase. ~2,000 words total. Delivered as a Claude Skill and plain .md within 60 seconds of checkout.
- ✦Core philosophy: 2–3 sentences grounded in Seth Klarman's documented worldview
- ✦Five signature mental models: each named, with concrete examples from their work
- ✦Decision heuristics: the concrete rules they actually used
- ✦Signature questions: five questions that sound like Seth Klarman, not a generic MBA
- ✦What they would NOT do: the anti-patterns this framework rejects
- ✦Copy-paste activation prompt: drop straight into Claude or ChatGPT
- ✦Worked example: the framework applied to a realistic scenario
- →seth-klarman.zip: a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to
~/.claude/skills/ - →seth-klarman-framework.md: plain markdown. Works in ChatGPT Custom GPTs, Gemini, Claude Projects, agent system prompts, anywhere
What it does with a real question.
A founder is deciding whether to take a large but difficult client.
Start with what you can lose, not what you can win. A large, difficult client looks like revenue, but the real question is the permanent damage if it goes wrong: a customer who is 40% of sales, pays late, demands custom work, and can walk away with thirty days' notice. That is a founder handing over leverage, and you rarely get it back.
My position: take the client only if the downside is capped before you sign, and decline if it isn't. Capped means a meaningful deposit or prepayment, payment terms that keep your cash cycle intact, a minimum contract term with termination fees, and a hard scope that prices every extra request. Concentration is the quiet killer here. If losing this one account would force layoffs or a fire sale of the company, you are not buying a customer, you are selling an option on your own survival, and you are doing it cheaply.
Difficulty is acceptable when it is priced. Charge a premium that pays for the pain, and treat anything the client refuses to pay for as information about how the relationship will go.
Notice, too, why this client is available. Other vendors presumably walked away. Find out why before you convince yourself you are special.
Next move: this week, write down the worst realistic outcome, the cash you would lose if the client left in month four, and take those terms to them. Their response is your answer.
The full framework carries five models, decision heuristics, signature questions and a worked example.
Written by claude-sonnet-5-5 with this framework loaded, 2026-10-11. Checked automatically for length and for copied framework text.
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Works as a Claude Skill (.zip) and as a plain .md for ChatGPT, Gemini & every LLM
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Inspired by the documented thinking of Seth Klarman. A mental-model toolkit, not a literal representation. Delivered as a .md file compatible with Claude, ChatGPT, Gemini, and any LLM.