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ai-agent

Improve Code with andrej-karpathy-skills

Get better code behavior with andrej-karpathy-skills, 165k+ GitHub stars, for founders using LLMs.
intermediateโฑ 30 minutes๐Ÿ’ต Free (self-hosted)
192,491 stars19,778 forksQuality 8/10Updated 4/20/2026100% free ยท open source
What it is

Get better code behavior by adding andrej-karpathy-skills to your LLM project.

What you can make with it

Automations like improved coding habits and fewer coding pitfalls in your Claude Code projects.

How it helps

This skill gives you expert advice to refine your LLM's coding behavior, based on Andrej Karpathy's observations.

Real use case example

"A founder building a Claude Code project wants to improve their LLM's coding behavior. They add the andrej-karpathy-skills and create a CLAUDE.md file with a list of coding pitfalls to avoid. After implementing the suggestions, their LLM produces more accurate and efficient code. The founder now achieves better results in their project development cycle."

If you're new

This skill is a good starting point for beginners who want to optimize their LLM's coding behavior.

If you're senior

Senior engineers and professionals can use this skill to refine their LLM's performance and improve coding efficiency.

Common confusion cleared up

This skill does not replace your LLM, but rather provides expert advice to refine its behavior.

Best inside these AI tools
Claude CodeGemini Code Assist
Pairs with
Claude CodeClaude APIGemini Code Assist
Why we list it on WorkflowStacks: Our marketplace includes this skill as an open-source offering, helping you to potentially save costs vs. paid alternatives.
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
  • โ€ขWhen building AI-powered code agents that require advanced logic and reasoning
  • โ€ขWhen optimizing LLM-based coding tools for better performance and accuracy
  • โ€ขWhen debugging and fine-tuning AI-powered coding assistants
Quick start
  1. 1Read the CLAUDE.md file to understand the coding strategies and pitfalls observed by Andrej Karpathy
  2. 2Review the GitHub repository's issues and discussions to learn from the community's experiences
  3. 3Apply the strategies and insights from the CLAUDE.md file to your own Claude Code implementation
  4. 4Test and refine your implementation using the guidelines and examples provided in the repository
  5. 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
Saves to your device
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

5
top-level files
3
folders
20K
repo size
โ€”
license
Key files
README.md
README.zh.md
File tree
.claude-plugin/
.cursor/
skills/
CLAUDE.md
CURSOR.md
EXAMPLES.md
README.md
README.zh.md
Quick Actions
Details
Creator
multica-ai
Category
ai-agent
Published
1/27/2026

Are you the creator of this tool? Claim your listing โ†’ and earn 85% of every sale.

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