karpathy-coder

Enforce Karpathy's four coding principles in Python and TypeScript projects.

Updated Apr 16, 2026

Search Tags:#pre-commit #code-review #coding-principles #llm-guidance #karpathy #diff-noise

Ready to run

npx skills add https://github.com/devCharuzu/philfida-taskmanage --skill karpathy-coder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: karpathy-coder
Source: https://github.com/devCharuzu/philfida-taskmanage/tree/main/.windsurf/skills/karpathy-coder
Command: npx skills add https://github.com/devCharuzu/philfida-taskmanage --skill karpathy-coder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Karpathy-coder helps teams enforce explicit assumptions, minimalism, surgical changes, and goal-driven execution during coding, reviews, and commits by surfacing pitfalls before they become bugs.

Core Features & Use Cases

Enforces Karpathy's four coding principles across code tasks, reviews, and commits.
Includes Python tools (complexity_checker.py, diff_surgeon.py, assumption_linter.py, goal_verifier.py) to detect overengineering, noise, hidden assumptions, and weak verification.
Offers a Slash command (/karpathy-check) and a pre-commit hook to integrate checks into CI and local workflows.

Quick Start

Run the provided scripts on your codebase to identify complexity, diff noise, assumptions, and verification gaps before committing.

Frequently Asked Questions about karpathy-coder

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

FAQPage Schema

How do I enforce coding principles like minimalism and surgical changes in a pre-commit hook?▼

You can enforce coding principles in a pre-commit hook by running automated checks that detect complexity, diff noise, hidden assumptions, and weak goal verification before code is committed. This ensures surgical changes and explicit assumptions are validated locally.

What is diff noise and how do I detect it in staged changes?▼

Diff noise refers to unnecessary or overly broad modifications in staged changes. You detect diff noise by using automated diff analysis scripts that review staged changes and surgical edits, flagging modifications that exceed the scope of the intended goal before reaching CI workflows.

How do I check Python and TypeScript code for overengineering and hidden assumptions?▼

You check for overengineering and hidden assumptions by running automated linting and complexity analysis scripts. These tools evaluate Python and TypeScript codebases to surface architectural pitfalls, detect overengineered components, and verify that explicit assumptions are documented.

Can I integrate automated code review checks into local development and CI workflows?▼

Yes, you can integrate automated code review checks into local development and CI workflows by configuring a slash command and a pre-commit hook. This applies coding discipline across staged changes and continuous integration pipelines seamlessly.

What is the best way to automate goal-driven execution verification for code commits?▼

The best way to automate goal-driven execution verification is using a dedicated verification script that validates code changes against intended objectives. This surfaces weak verification gaps during reviews and commits before they escalate into bugs.

Why does my pre-commit hook fail to catch hidden assumptions in Python projects?▼

A pre-commit hook fails to catch hidden assumptions when it lacks an explicit assumption linter. Implementing an automated assumption detection script ensures hidden assumptions in Python projects are surfaced and validated during the commit process.