Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
cd ~/.claude/skills
git clone https://github.com/forrestchang/andrej-karpathy-skills.git andrej-karpathy-skills mkdir -p ~/.claude/skills/karpathy-guidelines
curl -fsSL https://raw.githubusercontent.com/forrestchang/andrej-karpathy-skills/HEAD/skills/karpathy-guidelines/SKILL.md \
-o ~/.claude/skills/karpathy-guidelines/SKILL.md 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.
Don’t assume. Don’t hide confusion. Surface tradeoffs.
Before implementing:
Minimum code that solves the problem. Nothing speculative.
Ask yourself: “Would a senior engineer say this is overcomplicated?” If yes, simplify.
Touch only what you must. Clean up only your own mess.
When editing existing code:
When your changes create orphans:
The test: Every changed line should trace directly to the user’s request.
Define success criteria. Loop until verified.
Transform tasks into verifiable goals:
For multi-step tasks, state a brief plan:
1. [Step] → verify: [check]
2. [Step] → verify: [check]
3. [Step] → verify: [check]
Strong success criteria let you loop independently. Weak criteria (“make it work”) require constant clarification.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback
Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions