| name | list |
| description | Discover and select courses from Tongji Look (look.tongji.edu.cn). Lists recent or all courses, filters by keyword, and saves the chosen course for use with /trans, /note, and other commands. Prerequisite for all lecture workflows. |
| license | MIT |
| metadata | {"author":"WALKERKILLER","version":"1.1"} |
List
Discover and select courses from Tongji Look.
When to Use
- User says
/list or "show my courses" or "find a course".
- Before transcribing or taking notes, to discover available course IDs and names.
- User wants to search courses by keyword in title or teacher name.
Workflow
- List recent courses (default, fast):
python "<SKILL_DIR>/../../scripts/look_tongji.py" list
- Search with keyword filter:
python "<SKILL_DIR>/../../scripts/look_tongji.py" list --query "<KEYWORD>"
- Show all courses (slower but complete):
python "<SKILL_DIR>/../../scripts/look_tongji.py" list --all
Options
| Flag | Description |
|---|
--all | List all courses (slower but more complete) |
--limit LIMIT | Number of courses to show (0 = all) |
--query QUERY | Filter by keyword in title/teacher (server-side, case-insensitive) |
--choose CHOOSE | Auto-select course # (1-based) for non-interactive use |
--force-login | Ignore cached JWT and login again |
⚠️ Important: Chinese Query Limitation
--query is a server-side keyword search and may not match Chinese course names reliably. If --query "课程名关键词" returns empty:
Workaround: Use --all to fetch all courses, then filter locally:
python "<SKILL_DIR>/../../scripts/look_tongji.py" list --all 2>&1 | grep "课程名关键词"
Non-Interactive Usage
When --choose is set, the CLI auto-selects the course and saves its ID — no input() prompt. Combine with --all for scripted workflows:
python "<SKILL_DIR>/../../scripts/look_tongji.py" list --all --choose 1
Interactive Selection
When run without --choose, the CLI prints a numbered list of courses and prompts the user to select one. The selected course's ID is then available for use with /trans, /note, and other commands.
Where <SKILL_DIR> Points
<SKILL_DIR> is the directory containing this SKILL.md. Shared scripts (look_tongji.py, timeline_tools.py, tongji_backend/) and references live two levels up in the repository root (<SKILL_DIR>/../../scripts/ and <SKILL_DIR>/../../references/).
