Get better code behavior with andrej-karpathy-skills, 165k+ GitHub stars, for founders using LLMs.
168,458 stars17,206 forksQuality 8/10Updated 6/5/2026100% free ยท open source
What it does
This tool provides advanced LLM coding strategies from Andrej Karpathy to improve the behavior of Claude Code, helping founders build more intelligent AI products.
Install / run
Clone the repository with `git clone https://github.com/multica-ai/andrej-karpathy-skills.git`
When to use it
โขWhen building AI-powered code agents that require advanced logic and reasoning
โขWhen optimizing LLM-based coding tools for better performance and accuracy
โขWhen debugging and fine-tuning AI-powered coding assistants
Quick start
1Read the CLAUDE.md file to understand the coding strategies and pitfalls observed by Andrej Karpathy
2Review the GitHub repository's issues and discussions to learn from the community's experiences
3Apply the strategies and insights from the CLAUDE.md file to your own Claude Code implementation
4Test and refine your implementation using the guidelines and examples provided in the repository
5Explore the repository's code and examples to learn how to integrate the strategies with your own AI products
Ready-to-paste prompt
Use the CLAUDE.md file as a guide to craft a prompt like `Explain the coding pitfalls in LLM-based code generation and provide examples of how to avoid them`
Heads up: Make sure you have a strong understanding of LLM-based coding concepts and Claude Code's architecture, as the tool assumes a certain level of familiarity with these topics