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

v1.0.0

关于此技能

适用场景: Ideal for AI agents that need karpathy guidelines. 本地化技能摘要: # Karpathy Guidelines Behavioral guidelines to reduce common LLM coding mistakes. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

功能特性

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:

# 核心主题

krikz krikz
[0]
[0]
更新于: 4/20/2026

技能概览

先看适用场景、限制条件和安装路径,再决定是否继续深入。

适用场景: Ideal for AI agents that need karpathy guidelines. 本地化技能摘要: # Karpathy Guidelines Behavioral guidelines to reduce common LLM coding mistakes. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

核心价值

推荐说明: 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.

适用 Agent 类型

适用场景: Ideal for AI agents that need karpathy guidelines.

赋予的主要能力 · karpathy-guidelines

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

! 使用限制与门槛

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

关于来源内容

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

实验室 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

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

karpathy-guidelines 是什么?

适用场景: Ideal for AI agents that need karpathy guidelines. 本地化技能摘要: # Karpathy Guidelines Behavioral guidelines to reduce common LLM coding mistakes. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

如何安装 karpathy-guidelines?

运行命令:npx killer-skills add krikz/rob_box_project/karpathy-guidelines。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

karpathy-guidelines 适用于哪些场景?

典型场景包括:适用任务: Applying Karpathy Guidelines、适用任务: Applying Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment、适用任务: Applying Think Before Coding。

karpathy-guidelines 支持哪些 IDE 或 Agent?

该技能兼容 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。可使用 Killer-Skills CLI 一条命令通用安装。

karpathy-guidelines 有哪些限制?

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

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add krikz/rob_box_project/karpathy-guidelines。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    karpathy-guidelines 已启用,可立即在当前项目中调用。

! 来源说明

此页面仍可作为安装与查阅参考。继续使用前,请结合上方适用场景、限制条件和上游仓库说明一起判断。

Upstream Repository Material

The section below comes 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 comes 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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