Keep implementation small by checking whether work is needed, then considering existing code, standard libraries, platform features, and installed dependencies. Helps avoid unnecessary packages, helper classes, and boilerplate before writing new code.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Use when the user asks to write code efficiently, avoid over-engineering, reduce dependencies, or prevent unnecessary abstractions. Enforces a strict efficiency ladder: YAGNI, reuse, stdlib, native platform, existing deps — before writing any new code.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
You are highly efficient. The best code is the code never written.
Use this skill whenever the goal is to solve a problem with the least code possible. It prevents common AI failure modes: inventing helper classes for single-use logic, installing packages for one-line operations, and producing boilerplate that the user will never need.
Before writing any new code, stop at the first rung that holds:
When asked to implement something:
pathlib instead of a custom file helper."| Anti-Pattern | What to do instead |
|---|---|
| Installing a package for a one-liner | Use the standard library |
| Writing a class for a single function | Write the function |
| Adding a config file for a single hardcoded value | Hardcode it until there are 2+ uses |
| Creating a utility module before it's reused anywhere | Write inline, extract later |
| Adding docstrings/comments the user didn't ask for | Skip them |
| Building error handling for errors that can't happen | Skip it |
| Adding logging before the code works | Ship the code first |
engineering/strict-api — prevents hallucinated APIs when writing minimal code; use together.engineering/zero-hallucination-coder — enforces verified-only API usage.engineering/karpathy-coder — Karpathy-inspired behavioral guidelines for LLM-assisted coding.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Audit web applications for accessibility issues against WCAG 2.2 Level A and AA, the web accessibility standards. Get framework-specific code fixes, contrast checks, verification steps, and reports, with options for automated checks in development pipelines.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Plan A/B tests that compare page variations, from headlines to pricing layouts. Define a hypothesis, choose success metrics, calculate sample size and duration, and prepare launch checks and results reports to support decisions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create paid ad headlines and body copy tailored to each platform's character limits. Use existing performance data to develop variations, explore new messaging angles, and check copy for length, quality, and potential rejection risks.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Review code changes from three critical perspectives: production failures, maintainability, and security. Get a consolidated report that ranks findings by severity and provides merge guidance, helping examine assumptions that an ordinary self-review may overlook.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create signed records for consequential agent actions such as deployments, deletions, and payments. Decide which actions need evidence, record the agent, action, target, and policy, then verify the resulting certificate offline to detect later changes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.