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Add

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

Add supplementary materials (PDF, PPTX, DOCX, images) to a lecture session. Converts to Markdown via MarkItDown and indexes into the course wiki — without triggering transcription or slide download.From its SKILL.md

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

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

One thing to look at

  • runs commandsInstructs the agent to run 1 command, including `python "<SKILL_DIR>/../../scripts/look_tongji.py" add --course-id "<ID>" --sub-id "<ID>" --material "handout=/path/to/file.pdf"`.

What its file declares

Copied from the file, not written here

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

1.5 KB, 332 tokens by cl100k_base, as published. Nobody here has run it

Add Materials

Attach supplementary materials to a lecture session.

When to Use

  • User says /add or "add this material to the course".
  • After transcribing a lecture, adding additional PDFs/PPTs/docs.
  • User wants materials indexed into the wiki without re-running transcription.

Workflow

  1. Import materials:
python "<SKILL_DIR>/../../scripts/look_tongji.py" add \
  --course-id "<ID>" --sub-id "<ID>" \
  --material "handout=/path/to/file.pdf"
  1. The CLI copies files into the session's materials/<name>/ directory.
  2. MarkItDown auto-converts supported formats to Markdown.
  3. The course wiki index is updated automatically.

Supported Formats

  • PDF (.pdf), PPTX (.pptx), DOCX (.docx) — via MarkItDown
  • Images (.png, .jpg, .webp) — copied as-is
  • Text/Code (.txt, .md, .py, .js) — copied as-is

Difference from /note --material

/add only imports materials + updates the index. It does NOT trigger transcription or slide download.

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/).

What ships with it: 1 file

191 B alongside SKILL.md

Gives 0 of the 12 instructions most pdf office docs skills give in 332 tokens

Counted across 569 of the 585 authors here whose files we hold, read 2026-09-06

  • Ensure every slide fits inside one viewportin 20 of 569, across 11 files
  • Check for product marketing context firstin 15 of 569, across 5 files
  • Ask for the minimum neededin 15 of 569, across 5 files
  • Set the API key environment variablein 15 of 569, across 10 files
  • Support keyboard and touch navigationin 14 of 569, across 5 files
  • Match the buyer stagein 13 of 569, across 3 files
  • Split overflowing content into multiple slidesin 12 of 569, across 3 files
  • Set page size explicitly for consistent resultsin 12 of 569, across 5 files
  • Convert documents to markdown using pandocin 12 of 569, across 6 files
  • Read STYLE_PRESETS.md before generatingin 12 of 569, across 7 files
  • Send multipart POST requests to the APIin 12 of 569, across 7 files
  • Use smart quotes for new contentin 11 of 569, across 4 files

Said here and by no other author read

  • Run the add script with course and material arguments

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.