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,…
Compare displayed and user-expected statuses from the authorized live Yonsei attendance page first, identify records explicitly disputed by the user, and report which items have enough reason and evidence to draft a correction; use a screenshot, pasted table, export, or JSON
$ npx -y skills add mrcha033/yonsei-skills --skill find-yonsei-attendance-discrepancies --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/find-yonsei-attendance-discrepanciesContext preview
The summary Claude sees to decide when to auto-load this skill.
Compare displayed and user-expected statuses from the authorized live Yonsei attendance page first, identify records explicitly disputed by the user, and report which items have enough reason and evidence to draft a correction; use a screenshot, pasted table, export, or JSON
name: find-yonsei-attendance-discrepancies description: Compare displayed and user-expected statuses from the authorized live Yonsei attendance page first, identify records explicitly disputed by the user, and report which items have enough reason and evidence to draft a correction; use a screenshot, pasted table, export, or JSON only when the live page is unavailable or intentionally supplied. Use without inferring presence or changing official records.
Return one discrepancy report from a supplied review snapshot.
If the user supplies an attendance screen or table, extract the displayed records into a private temporary JSON file, then ask the user which entries they dispute and what evidence they want considered. Do not make the user write JSON or infer an expected status from location or timetable data.
python3 "$SKILL_DIR/scripts/find_discrepancies.py" --input attendance-review.json
Each record needs course, date, and `recorded_status`. Supply `expected_status` when known, or set `user_disputed: true`. Set `reviewed: true` for a record the user checked and accepts. A discrepancy is ready for a draft only when it has a different expected status, a reason, and at least one evidence description.
`no_discrepancies_found` is true only when every row is explicitly reviewed. Unreviewed rows remain `unknowns`.
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.
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,…
Read an authorized live LearnUs course first and extract deadlines visibly associated with assignment activities; use a user-supplied screenshot, pasted page,…
Read an authorized live LearnUs course first and extract its files, folders, resources, and visible media entries as a structured material list; use a…
Connect to Yonsei LearnUs in the student's persistent browser profile, reuse the official portal login, and recover from session expiry without receiving…
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Normalize enrollment and academic-status fields from a user-provided Yonsei Academic Information System screenshot, pasted table, export, or JSON, identify…