acceptance-orchestrato…
Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance…
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Claude Code
$ npx -y skills add sinhoneyy/master-skills --skill andrej-karpathy --agent claude-code
Codex
$ npx skills add sinhoneyy/master-skills --skill andrej-karpathy -a codex -y
Cursor
$ npx skills add sinhoneyy/master-skills --skill andrej-karpathy -a cursor -y
Gemini CLI
$ npx skills add sinhoneyy/master-skills --skill andrej-karpathy -a gemini-cli -y
GitHub Copilot
$ npx skills add sinhoneyy/master-skills --skill andrej-karpathy -a github-copilot -y
OpenCode
$ npx skills add sinhoneyy/master-skills --skill andrej-karpathy -a opencode -y
Windsurf
$ npx skills add sinhoneyy/master-skills --skill andrej-karpathy -a windsurf -y
name: andrej-karpathy description: Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria. risk: safe source: community source_repo: multica-ai/andrej-karpathy-skills source_type: community license: MIT license_source: "https://github.com/multica-ai/andrej-karpathy-skills/blob/main/skills/karpathy-guidelines/SKILL.md" date_added: '2026-03-06' author: renat tags: - coding-guidelines - code-review - llm-coding - simplicity tools: - claude-code - antigravity - cursor - gemini-cli - codex-cli
Behavioral guidelines to reduce common LLM coding mistakes, derived from [Andrej Karpathy's observations](https://x.com/karpathy/status/2015883857489522876) on LLM coding pitfalls.
**Tradeoff:** These guidelines bias toward caution over speed. For trivial tasks, use judgment.
**Don't assume. Don't hide confusion. Surface tradeoffs.**
Before implementing:
**Minimum code that solves the problem. Nothing speculative.**
Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
**Touch only what you must. Clean up only your own mess.**
When editing existing code:
When your changes create orphans:
The test: Every changed line should trace directly to the user's request.
**Define success criteria. Loop until verified.**
Transform tasks into verifiable goals:
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 such as "make it work" require constant clarification.
User request: "Add validation to this form." Better response: 1. Assumption: validation should run before submit and show inline errors. 2. Plan: add a small validator, add tests for invalid inputs, then verify existing submit behavior. 3. Scope: only touch the form component and its test file.
User request: "Refactor this service." Better response: 1. Ask what behavior must remain unchanged. 2. Identify a concrete smell, such as duplicated parsing logic. 3. Make the smallest refactor and run the existing service tests.
Unified skill library for Claude, Codex, Cursor, Antigravity & AI agents — 2,660 skills across 15 domains
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