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andrej-karpathy-skills

OpenClaw skill distilled from Andrej Karpathy-inspired coding guidelines. Encourages explicit assumptions, simplicity, surgical edits, and goal-driven execution.

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Overview

OpenClaw skill distilled from Andrej Karpathy-inspired coding guidelines. Encourages explicit assumptions, simplicity, surgical edits, and goal-driven execution.

Install command

npx skills add https://github.com/dfpalhano/openclaw-workspace --skill andrej-karpathy-skills

Copy and paste this command into Claude Code to install the skill

Source

dfpalhano/openclaw-workspace

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UpdatedApril 16, 2026 at 14:12

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2 files

SKILL.md

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name	andrej-karpathy-skills
version	1.0.0
description	OpenClaw skill distilled from Andrej Karpathy-inspired coding guidelines. Encourages explicit assumptions, simplicity, surgical edits, and goal-driven execution.
author	forrestchang
repository	https://github.com/forrestchang/andrej-karpathy-skills

Andrej Karpathy Skills

Use these guidelines when coding in OpenClaw:

Think before coding, state assumptions, surface ambiguity
Keep it simple, avoid speculative abstractions
Make surgical changes only
Work toward explicit, verifiable success criteria

Practical rules

Ask when the task is unclear
Prefer the smallest change that solves the problem
Do not refactor unrelated code
Verify results before declaring success

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Source

dfpalhano

dfpalhano/openclaw-workspace

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Install command

Download

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Useful forSOC

Software DevelopersComputer and Mathematical Occupations15-1252L4

name	andrej-karpathy-skills
version	1.0.0
description	OpenClaw skill distilled from Andrej Karpathy-inspired coding guidelines. Encourages explicit assumptions, simplicity, surgical edits, and goal-driven execution.
author	forrestchang
repository	https://github.com/forrestchang/andrej-karpathy-skills

Andrej Karpathy Skills

Use these guidelines when coding in OpenClaw:

Think before coding, state assumptions, surface ambiguity
Keep it simple, avoid speculative abstractions
Make surgical changes only
Work toward explicit, verifiable success criteria

Practical rules

Ask when the task is unclear
Prefer the smallest change that solves the problem
Do not refactor unrelated code
Verify results before declaring success