Karpathy-inspired behavioral guidelines for coding agents: clarify assumptions, keep changes simple, edit surgically, and verify before claiming completion.
How this skill is triggered — by the user, by Claude, or both
Slash command
/andrej-karpathy-skills:karpathy-guidelinesThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Karpathy-inspired behavioral guidelines for coding agents.
Karpathy-inspired behavioral guidelines for coding agents.
Behavioral guidelines to reduce common LLM coding mistakes. Merge with project-specific instructions as needed.
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 ("make it work") require constant clarification.
Before claiming completion:
When asked to inspect, repair, or improve a repository:
Use the lightest mode that fits the task.
For typos, obvious one-line edits, or formatting-only requests.
For ordinary feature or bug work.
For auth, payments, legal, medical, robotics, safety, data loss, security, or infrastructure.
For broken ZIPs, inherited codebases, or generated projects.
When reporting results:
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.
Provides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.
npx claudepluginhub dawsonblock/skill-md --plugin andrej-karpathy-skills