karpathy-guidelines

Apply Karpathy guidelines to reduce overcomplication in LLM code.

Updated May 4, 2026

Search Tags:#best practices #refactoring #software quality #code guidelines #LLM coding

Ready to run

npx skills add https://github.com/ABOAO/Skill --skill karpathy-guidelines-aboao

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: karpathy-guidelines
Source: https://github.com/ABOAO/Skill/tree/main/SOLID
Command: npx skills add https://github.com/ABOAO/Skill --skill karpathy-guidelines-aboao

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides behavioral guidelines to reduce common LLM coding mistakes and improve code quality.

Core Features & Use Cases

Avoid Overcomplication: Focuses on simplicity and essential features.
Surgical Changes: Encourages editing only necessary parts of the code.
Goal-Driven Execution: Emphasizes defining clear success criteria and iterative improvements.

Quick Start

Follow the Karpathy Guidelines to write clear and maintainable code for your LLM applications.

Frequently Asked Questions about karpathy-guidelines

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I prevent overcomplication when writing code with LLMs?▼

To avoid overcomplication in LLM coding, apply behavioral guidelines that enforce simplicity, focus on essential features, and make surgical changes to only the necessary parts of the code.

What are the best practices for improving LLM code maintainability?▼

Best practices for LLM code maintainability include defining verifiable success criteria, encouraging explicit assumptions, and discussing tradeoffs to significantly improve overall code readability.

How do I define verifiable success criteria for LLM-powered applications?▼

Defining verifiable success criteria for LLM code involves setting goal-driven execution plans that emphasize clear, iterative improvements and explicit assumptions to ensure maintainable software quality.

Why do my LLM-generated code refactoring attempts break existing functionality?▼

LLM code refactoring often breaks functionality when changes are not surgical; applying strict guidelines to edit only necessary parts reduces unintended side effects and preserves software quality.

Can I use these code guidelines for general software engineering or only for LLM coding?▼

While these guidelines improve general software engineering practices like refactoring and readability, they are specifically aimed at engineers developing LLM-powered applications to avoid common coding pitfalls.