karpathy-guidelines — for Claude Code karpathy-guidelines, rob_box_project, community, for Claude Code, ide skills, Karpathy, Guidelines, Behavioral, reduce, common

v1.0.0

About this Skill

Ideal for AI agents that need karpathy guidelines. karpathy-guidelines is an AI agent skill for karpathy guidelines.

Features

Karpathy Guidelines
Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.
Think Before Coding
Don't assume. Don't hide confusion. Surface tradeoffs.
Before implementing:

# Core Topics

krikz krikz
[0]
[0]
Updated: 4/20/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Ideal for AI agents that need karpathy guidelines. karpathy-guidelines is an AI agent skill for karpathy guidelines.

Core Value

karpathy-guidelines helps agents karpathy guidelines. Karpathy Guidelines Behavioral guidelines to reduce common LLM coding mistakes. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Ideal Agent Persona

Ideal for AI agents that need karpathy guidelines.

Capabilities Granted for karpathy-guidelines

Karpathy Guidelines
Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment
Think Before Coding

! Prerequisites & Limits

  • Don't assume. Don't hide confusion. Surface tradeoffs.
  • If multiple interpretations exist, present them - don't pick silently.
  • Touch only what you must. Clean up only your own mess.

About The Source

The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is karpathy-guidelines?

Ideal for AI agents that need karpathy guidelines. karpathy-guidelines is an AI agent skill for karpathy guidelines.

How do I install karpathy-guidelines?

Run the command: npx killer-skills add krikz/rob_box_project. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for karpathy-guidelines?

Key use cases include: Karpathy Guidelines, Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment, Think Before Coding.

Which IDEs are compatible with karpathy-guidelines?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for karpathy-guidelines?

Don't assume. Don't hide confusion. Surface tradeoffs.. If multiple interpretations exist, present them - don't pick silently.. Touch only what you must. Clean up only your own mess..

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add krikz/rob_box_project. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use karpathy-guidelines immediately in the current project.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

karpathy-guidelines

# Karpathy Guidelines Behavioral guidelines to reduce common LLM coding mistakes. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

SKILL.md
Readonly
Upstream Repository Material
The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

Karpathy Guidelines

Behavioral guidelines to reduce common LLM coding mistakes. Derived from Andrej Karpathy's observations on LLM coding pitfalls.

Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.

1. Think Before Coding

Don't assume. Don't hide confusion. Surface tradeoffs.

Before implementing:

  • State your assumptions explicitly. If uncertain, ask.
  • If multiple interpretations exist, present them - don't pick silently.
  • If a simpler approach exists, say so. Push back when warranted.
  • If something is unclear, stop. Name what's confusing. Ask.

2. Simplicity First

Minimum code that solves the problem. Nothing speculative.

  • No features beyond what was asked.
  • No abstractions for single-use code.
  • No "flexibility" or "configurability" that wasn't requested.
  • No error handling for impossible scenarios.
  • If you write 200 lines and it could be 50, rewrite it.

Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.

3. Surgical Changes

Touch only what you must. Clean up only your own mess.

When editing existing code:

  • Don't "improve" adjacent code, comments, or formatting.
  • Don't refactor things that aren't broken.
  • Match existing style, even if you'd do it differently.
  • If you notice unrelated dead code, mention it - don't delete it.

When your changes create orphans:

  • Remove imports/variables/functions that YOUR changes made unused.
  • Don't remove pre-existing dead code unless asked.

The test: Every changed line should trace directly to the user's request.

4. Goal-Driven Execution

Define success criteria. Loop until verified.

Transform tasks into verifiable goals:

  • "Add validation" → "Write tests for invalid inputs, then make them pass"
  • "Fix the bug" → "Write a test that reproduces it, then make it pass"
  • "Refactor X" → "Ensure tests pass before and after"

For multi-step tasks, state a brief plan:

1. [Step] → verify: [check]
2. [Step] → verify: [check]
3. [Step] → verify: [check]

Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.


These guidelines are working if: fewer unnecessary changes in diffs, fewer rewrites due to overcomplication, and clarifying questions come before implementation rather than after mistakes.

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