
Andrej Karpathy
Based on Andrej Karpathy's observations about common LLM coding pitfalls, this skill teaches Claude to surface assumptions before coding, avoid speculative abstractions, make surgical changes instead of sprawling refactors, and define verifiable success criteria for every task. It's designed to counter the tendency of LLMs to overcomplicate solutions and touch more code than necessary. The tradeoff is clear: it biases toward caution over speed, so you'll want to skip it for trivial tasks. Best used when you're reviewing code, making changes to existing systems, or dealing with anything where "just make it work" has burned you before.
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- skills.sh installs
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- last updated
- Jun 3, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill andrej-karpathy --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.
When to Use This Skill
- Use when writing, reviewing, or refactoring code with an LLM.
- Use when a change needs to stay surgical and avoid speculative abstractions.
- Use when assumptions, tradeoffs, and verification criteria should be made explicit.
- Use when code has become overcomplicated and needs to be simplified.
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.
Sponsors
Details
- Repository
- github.com/sickn33/antigravity-awesome-skills
- First seen
- Jun 3, 2026
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