list-learnus-courses
Read the authorized user's live LearnUs dashboard first and return the visible course index as a deduplicated structured list; use a user-supplied screenshot,…
Create an unsent Korean attendance-correction draft and evidence checklist from a user-confirmed discrepancy found on the authorized live attendance page; use a screenshot, pasted record, export, or JSON only when the live page is unavailable or intentionally supplied. Use when
$ npx -y skills add mrcha033/yonsei-skills --skill draft-yonsei-attendance-correction --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/draft-yonsei-attendance-correctionContext preview
The summary Claude sees to decide when to auto-load this skill.
Create an unsent Korean attendance-correction draft and evidence checklist from a user-confirmed discrepancy found on the authorized live attendance page; use a screenshot, pasted record, export, or JSON only when the live page is unavailable or intentionally supplied. Use when
name: draft-yonsei-attendance-correction description: Create an unsent Korean attendance-correction draft and evidence checklist from a user-confirmed discrepancy found on the authorized live attendance page; use a screenshot, pasted record, export, or JSON only when the live page is unavailable or intentionally supplied. Use when the user wants a reviewable request draft while official submission, status changes, attendance check-in, and external communication remain disabled.
Create one deterministic, unsent correction draft.
Accept the disputed record and evidence in ordinary language or as an attached screen. Convert only the confirmed fields to a private temporary JSON file. Do not ask the user to write JSON, and do not infer a recipient or requested status that the user did not state.
python3 "$SKILL_DIR/scripts/draft_correction.py" --input correction.json
Provide `captured_at` and a `correction` object containing course code, title, class date, recorded status, requested status, reason, and an `evidence` array. `recipient` is optional and is never inferred.
Review the structured fields, message text, evidence checklist, and `ready_for_user_review`. The output always states `draft_only: true` and `submitted: false`.
연세대학교 생활에서 자주 반복되는 확인·정리 작업을 자연어로 처리하는 비공식 오픈소스 플러그인 모음입니다. 연세대학교 공식 서비스가 아닙니다. 학교 계정 권한을 늘리거나 수강신청·출석·예약 제한을 우회하지 않습니다.
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