learnprompt/andrej-karpathy-skills

karpathy-llm-simulator

Use LLM as a simulator of expert debates and opposing viewpoints instead of getting a single sycophantic answer.

First seen May 25, 2026

Installation

$ npx skills add learnprompt/andrej-karpathy-skills --skill karpathy-llm-simulator

Summary

  • Use LLM as a simulator of expert debates and opposing viewpoints instead of getting a single sycophantic answer.
  • Use this skill when the user needs to make an important decision, wants to stress-test an idea, needs devil''s advocate analysis, wants to avoid confirmation bias, or says "argue against this", "what are the counterarguments", "simulate experts", "debate this", "challenge my thinking".
  • Based on Karpathy 31k-like post.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 97
License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,577 B
  • docs SUMMARY.md 462 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 52 installs

SKILL.md

Skill 3: LLM as Simulator(LLM模拟器思维)

Source: https://x.com/karpathy/status/2037921699824607591 | https://x.com/karpathy/status/2049907410303865030
"Drafted a blog post → LLM argue the opposite" — 31k likes

Core Principle

Don't ask what the LLM thinks. Ask it to simulate what a diverse group of experts would argue.

LLMs are trained to please. A direct question gets a sycophantic answer. A simulation request gets a distribution of real perspectives — including the uncomfortable ones.

Karpathy's method: write a draft → ask LLM to argue the strongest possible opposite position → synthesize a better view.

The 4 Simulator Modes

Mode 1: Expert Debate Panel

Best for: technical decisions, architecture choices, research directions

Simulate a structured debate between these 3 expert personas on [TOPIC/DECISION]:

Expert A: [most optimistic / pro position]
Expert B: [most skeptical / con position]  
Expert C: [pragmatic outsider / unexpected angle]

For each expert:
- State their core argument in 3 sentences
- Cite 2 specific examples or data points they'd use
- Identify what they'd say is the FATAL FLAW in the opposing view

After the debate, synthesize: what's the strongest hybrid position that survives all three critiques?

Topic: [YOUR_TOPIC]
My current position: [YOUR_DRAFT_VIEW]

Mode 2: Steel Man the Opposite

Best for: before publishing, before committing to a decision

I'm about to [ACTION / PUBLISH / DECIDE]:

[YOUR PLAN OR DRAFT]

Steel man the strongest possible argument AGAINST this. Be merciless.
Don't hedge. Don't say "while this has merit...". 
Argue as if you genuinely believe the opposite and need to convince a skeptical expert.

Then: what would it take to make my original position survive this attack?

Mode 3: Pre-Mortem Simulation

Best for: project planning, product launches, major decisions

Imagine it's [DATE 6 MONTHS FROM NOW] and [YOUR PROJECT/PLAN] has failed completely.

Simulate 3 different failure modes — each from a different root cause:
1. Technical failure: what went wrong in the implementation?
2. Strategic failure: what assumption proved wrong?
3. Execution failure: what human/process error occurred?

For each: describe the specific sequence of events that led to failure.

Then: what early warning signals would have been visible by [DATE 1 MONTH FROM NOW]?

Mode 4: Socratic Drill

Best for: testing your own understanding of a concept

I believe I understand [CONCEPT]. 

Ask me 5 increasingly hard Socratic questions to test my understanding.
After each answer I give, probe a potential gap or inconsistency.
At the end, grade my understanding on a scale of 1-10 and identify my biggest blind spot.

Start with question 1.

Anti-Sycophancy Patterns

Always add one of these to prevent the LLM from capitulating to your framing:

  • "Do not soften your critique because you think I want to hear it."
  • "If my position is clearly wrong, say so directly."
  • "Ignore that I wrote the original draft — evaluate it as an anonymous submission."
  • "Your job is to find the fatal flaw, not to validate."

Decision Framework

Before any major decision:
1. Write down your current position (1-2 paragraphs)
2. Run Mode 2 (Steel Man the Opposite)
3. Update your position based on the strongest critique
4. Run Mode 1 (Expert Debate) to get broader perspective
5. Make the decision — now you've genuinely stress-tested it

Total time: 15-20 minutes. Quality of decision: dramatically better.

When NOT to Use This

  • For factual lookups (just ask directly)
  • For code generation (use agentic engineering instead)
  • When you've already decided and need to execute (move forward, don't ruminate)

Workflow

属于工作流:反偏见决策(任何重要判断)

位置 上游 下游
入口 用户面临重要决策时直接触发 karpathy-understanding-first(验证自己是否真正理解)

完整链路:llm-simulator → understanding-first → system-prompt-learning

也在月度体检工作流中用于 stress-test 月度结论。

Prompt Contract

Simulate a structured debate between 3-5 expert personas with conflicting incentives on <DECISION/TOPIC>. Each persona must: state their core argument, cite specific evidence, identify the fatal flaw in opposing views. After the debate, synthesize the strongest hybrid position that survives all critiques. End with: key assumptions I must verify myself.

Verification Checklist

  • 至少有 3 个角色,且利益/立场互相冲突
  • 每个角色都给出了具体论据(不是泛泛而谈)
  • 每个角色都指出了对方的致命缺陷
  • 综合结论经受住了所有角色的攻击
  • 列出了「我必须亲自验证」的假设清单
  • 没有出现讨好用户原始立场的倾向