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Wiki

Skill WALKERKILLER/Look-Tongji-Notes/skills/wiki

Transcribing Lessons from Tongji Look Platform to Notes with Agent Skill.

Install
npx -y skills add WALKERKILLER/Look-Tongji-Notes --skill wiki

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Build and serve the static course knowledge base locally. Rebuilds from workspace data and starts an HTTP server on port 8765.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.8 KB, as published. Nobody here has run it

Wiki

Build and locally serve the course knowledge base.

When to Use

  • User says /wiki or "open the course wiki" or "serve the wiki".
  • After writing notes, to preview the generated site.

Workflow

  1. Serve (build + start HTTP server):
python "<SKILL_DIR>/../../scripts/look_tongji.py" serve --port 8765
  1. Build only (no server):
python "<SKILL_DIR>/../../scripts/look_tongji.py" build

Page Structure

Each session page follows this layout (top to bottom):

  1. Lecture Video (top) — embedded player area when video metadata is available, or a direct video link
  2. Resources (middle) — supplementary materials, slide download links, and transcript download links
  3. Note (bottom) — pure Markdown study content without task-oriented meta-descriptions

Duration Check

  • Sessions with duration_seconds < 3600 are flagged with a warning indicator in the wiki UI.
  • The agent should suggest re-transcription for short sessions.

Note Cleanliness

  • Notes must be pure knowledge content without task-oriented meta-descriptions.
  • See /note skill for the full list of forbidden phrases.

Validation

  • The generated site uses the vendored llm-wiki frontend.
  • UI chrome (language toggle, navigation) is handled by the frontend; content is from workspace data.

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/).

Keep looking

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