karpathy-guidelines

Identify and correct common LLM coding mistakes using Karpathy guidelines.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Garynan52000/learning --skill karpathy-guidelines-garynan52000
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: karpathy-guidelines
Source: https://github.com/Garynan52000/learning/tree/main/.trae/skills/karpathy-guidelines
Command: npx skills add https://github.com/Garynan52000/learning --skill karpathy-guidelines-garynan52000

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps developers avoid common pitfalls in LLM coding, promoting clarity, simplicity, and reliability in code.

Core Features & Use Cases

  • Guidelines for Coding: Provides behavioral guidelines to reduce common LLM coding mistakes.
  • Surgical Changes: Encourages minimal code changes that directly address user requests.
  • Goal-Driven Execution: Promotes clear success criteria for code changes and refactoring.

Quick Start

Apply the karpathy-guidelines to your codebase to identify and correct common LLM coding mistakes.

Frequently Asked Questions about karpathy-guidelines

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

FAQPage Schema
How do I fix common LLM coding mistakes during code generation?

Fix common LLM coding mistakes by applying guidelines that enforce simplicity, clarity, and verifiable success criteria to your code generation and refactoring tasks.

What are the best programming guidelines for LLM code review?

Effective LLM code review guidelines emphasize surgical changes and goal-driven execution, encouraging minimal code modifications that directly address user requests with clear success criteria.

How do I ensure LLM refactoring makes surgical changes to my codebase?

Ensure LLM refactoring makes surgical changes by enforcing goal-driven execution with clear success criteria, restricting modifications to only what directly addresses the specific request.

Do I need Python to enforce programming guidelines for LLM coding?

Yes, you need an environment capable of executing Python scripts to enforce these programming guidelines and verify that your LLM coding changes meet the required clarity and success criteria.

When should I use goal-driven execution for code quality and refactoring?

Use goal-driven execution for code quality and refactoring when you need to establish clear success criteria, ensuring that LLM-generated changes remain simple, reliable, and directly address the request.