agentleFS
dandacompanydandacompany/dante-skills/magma-mart-seed/SKILL.md

magma-mart-seed

Skill14 starsChanged 4 months agoNo licenceView on GitHub

MAGMA 가상 오피스 강의(섹션 7)용 판매·프로모션 더미 데이터 마트 생성 스킬. 시드 고정 생성기로 고객·상품·프로모션·주문·주문상세 5개 CSV(약 5.5만 행)를 만들며, 현실적인 오염 패턴 12종(중복 고객, 결측, 날짜 포맷 4종 혼재, 금액 표기 혼재, 음수 수량, 고아 FK, 이상치 가격, 비정규 코드값 등)이 의도적으로 주입돼 있어 데이터 정제 실습 재료가 된다. 누가 언제 실행해도 완전히 동일한 데이터가 나온다. Use when: '더미 판매 데이터 만들어', 'MAGMA 마트 생성', '정제 실습용 데이터 준비', 'magma-mart-seed 실행', or preparing the Section 7.3 data-cleaning exercise.

The file

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.