WALKERKILLER Transcribe
Transcribe one lecture video from look.tongji.edu.cn and optionally download slide snapshots.
When to Use
- User says
/transor "transcribe this lecture". - User provides a lecture URL or course_id + sub_id.
Workflow
- Resolve lecture with URL or IDs:
python "<SKILL_DIR>/../../scripts/look_tongji.py" transcribe --lecture-url "<LECTURE_URL>"
python "<SKILL_DIR>/../../scripts/look_tongji.py" transcribe --course-id "<ID>" --sub-id "<ID>"
- Transcribe + download slides in one run:
python "<SKILL_DIR>/../../scripts/look_tongji.py" transcribe --course-id "<ID>" --sub-id "<ID>" --slide
- The CLI prints real-time progress. Stdout contains result paths.
Non-Interactive / Batch Usage
When running from an automated pipeline, avoid input() prompts with these flags:
| Flag | Description |
|---|---|
--sub-id |
Specify lecture sub_id directly (skips interactive lecture picker) |
--course-id |
Specify course ID directly (skips interactive course selection) |
--slide |
Download slides after transcription |
--concurrency N |
Slide download concurrency (default 4) |
--retries N |
Slide download retries (default 3) |
manifest.json — Required for Wiki Build
transcribe does NOT automatically create manifest.json. After transcription, you MUST create it manually so the wiki indexer can find this lecture.
Create manifest.json in the session's 原始数据/ directory with this structure:
{
"course_id": "COURSE_ID",
"sub_id": "SUB_ID",
"course_title": "课程名称（真实中文名）",
"session_title": "YYYY-M-D 第X节",
"base_name": "COURSE_ID_SUB_ID",
"artifacts": {
"srt": "F:\\workspace\\raw\\课程名称\\YYYY-M-D 第X节\\原始数据\\COURSE_ID_SUB_ID.srt",
"txt": "F:\\workspace\\raw\\课程名称\\...\\COURSE_ID_SUB_ID.txt",
"notes": "",
"timeline": "",
"slides": "F:\\workspace\\raw\\课程名称\\...\\slides\\index.json"
},
"duration_seconds": 5580
}
Critical path rules:
- Use absolute paths for all artifact paths (relative paths break on Windows)
duration_seconds: must be ≥ 3600 (1 hour); if < 3600, the lecture is marked不合格 and wiki shows it as 缺失- If no slides were downloaded, leave
slidesfield empty ("") - Fields
notesandtimelineare filled by/notecommand later
Artifacts
<course_id>_<sub_id>.srt— subtitle with timestamps<course_id>_<sub_id>.txt— plain text transcript<course_id>_<sub_id>.json— metadataslides/— slide images + index.json (if --slide)manifest.json— MUST create manually after transcription
One Session Per Call
For batch transcribing, use /ralphtrans.
Where `` Points
`` 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 (`/../../scripts/` and `/../../references/`).