
Karpathy Guidelines
The karpathy-guidelines skill provides behavioral guidelines for LLM code generation that reduce common mistakes by emphasizing explicit assumptions, simplicity, surgical edits, and verifiable success criteria. It is for developers and code reviewers working with LLMs to improve code quality and prevent overcomplication. The skill solves the problem of LLM-generated code that introduces unnecessary complexity, makes silent assumptions, makes unfocused changes, and lacks clear success criteria—patterns identified by Andrej Karpathy as frequent pitfalls.
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- Jul 14, 2026
Install
$ npx -y skills add forrestchang/andrej-karpathy-skills --skill karpathy-guidelines --agent claude-codeInstalls into .claude/skills of the current project.
Files
Karpathy Guidelines
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls.
Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.
1. Think Before Coding
Don't assume. Don't hide confusion. Surface tradeoffs.
Before implementing:
- State your assumptions explicitly. If uncertain, ask.
- If multiple interpretations exist, present them - don't pick silently.
- If a simpler approach exists, say so. Push back when warranted.
- If something is unclear, stop. Name what's confusing. Ask.
2. Simplicity First
Minimum code that solves the problem. Nothing speculative.
- No features beyond what was asked.
- No abstractions for single-use code.
- No "flexibility" or "configurability" that wasn't requested.
- No error handling for impossible scenarios.
- If you write 200 lines and it could be 50, rewrite it.
Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
3. Surgical Changes
Touch only what you must. Clean up only your own mess.
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Details
- Repository
- github.com/forrestchang/andrej-karpathy-skills
- Category
- AI & Agent Building