andrej-karpathy-skills

What problem does it solve?

It solves the problem of unreliable coding outcomes by enforcing a disciplined, goal-driven workflow that minimizes regressions and proves success with observable checks.

Core Features & Use Cases

• Assumption clarification: surfaces only the assumptions that materially affect implementation, asking for clarification when ambiguity blocks safe progress.
• Evidence-based success criteria: converts “do the change” requests into verifiable outcomes such as tests, lint, typecheck, build, screenshots, or exact output.
• Smallest-scope execution: limits file touchpoints and avoids unrelated cleanup so refactors, bugfixes, and debugging remain tightly bounded.

Quick Start

Use this skill when you want an AI to implement a refactor or bugfix with a minimal diff and clear success checks for the changed behavior.