karpathy-guidelines

Enforce simplicity, surgical edits, and goal-driven verification in coding tasks.

Updated Apr 13, 2026

Search Tags:#refactoring #engineering #coding #best-practices #code-review #llm-optimization

Ready to run

npx skills add https://github.com/henrycashe26/my_skills --skill karpathy-guidelines-henrycashe26

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: karpathy-guidelines
Source: https://github.com/henrycashe26/my_skills/tree/main/coding/karpathy-guidelines
Command: npx skills add https://github.com/henrycashe26/my_skills --skill karpathy-guidelines-henrycashe26

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill addresses the tendency of LLMs to over-engineer solutions, make silent assumptions, and perform unnecessary refactoring, which leads to bloated code and increased maintenance overhead.

Core Features & Use Cases

Behavioral Guardrails: Enforces a simplicity-first approach to prevent premature abstraction and speculative feature creep.
Surgical Editing: Ensures changes are limited strictly to the requested task, preserving existing style and preventing noisy diffs.
Goal-Driven Verification: Transforms vague requests into verifiable success criteria, ensuring code is tested and functional before completion.

Quick Start

Apply the karpathy-guidelines to your current coding task to ensure your implementation is simple, surgical, and verified.

Frequently Asked Questions about karpathy-guidelines

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

FAQPage Schema

How do I stop LLMs from over-engineering code and making unnecessary refactoring changes?▼

To stop LLMs from over-engineering code, apply behavioral guardrails that enforce a simplicity-first approach and surgical editing. This prevents premature abstraction and ensures changes are limited strictly to the requested task, preserving existing style and preventing noisy diffs.

What is surgical editing in LLM coding and how does it prevent bloated code?▼

Surgical editing in LLM coding is the practice of limiting code changes strictly to the requested task to prevent bloated code. It preserves existing style and prevents noisy diffs by avoiding unnecessary refactoring and speculative feature creep.

How do I enforce goal-driven verification for vague coding requests?▼

Goal-driven verification transforms vague coding requests into verifiable success criteria, ensuring code is tested and functional before completion. This approach requires strict adherence to explicit assumption surfacing to validate the final implementation.

Can I apply these coding guardrails to both feature implementation and code reviews?▼

Yes, you can apply these coding guardrails to both feature implementation and code reviews. They are designed for all software development tasks, including bug fixing, by enforcing simplicity, surgical precision, and goal-driven verification across the entire workflow.

Why does my LLM make silent assumptions during software development tasks?▼

LLMs make silent assumptions during software development tasks due to a lack of enforced behavioral constraints. Requiring strict adherence to explicit assumption surfacing forces the model to state its assumptions, preventing unexpected integration issues and bloated code.