사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/lilmgenius/paperthin --skill aim시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
Read the data and propose the intent behind it, for the user to confirm.
Goal
The result is a proposal the user only confirms, revises, or rejects — never a question. Asking makes the user compose a sentence they did not have ready; proposing lets them answer with a yes. If the turn ends with them writing that sentence anyway, the skill missed.
Workflow
- Read every piece of the handed-over data end to end before proposing anything.
- State the intent you read, in one line grounded in what the data actually shows.
- State briefly what you would do next on that intent.
- Ask only to confirm — right, wrong, or adjust.
Rules
- Read before proposing. A proposal without reading is a guess.
- Ground it in the data. Point at what you read, not what you assumed.
- One intent per turn. If two are plausible, propose the likelier and name the other in a clause.
- Confirm, don't compose. If the turn ends with the user assembling a sentence, redo the proposal.
- If the data is too thin to propose from, say so and stop. Do not fall back to asking.
Verification
The user's next reply is short — a yes, a correction, or a small adjustment. If they had to explain what they wanted from scratch, the proposal was wrong, or was really a question in disguise.
