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WALKERKILLERWALKERKILLER/Look-Tongji-Notes/skills/setup/SKILL.md

setup

Skill53 starsChanged 5 months agoMITView on GitHub

Configure Tongji Look credentials, check system dependencies (Python, Node.js, ffmpeg, vision-support, XeLaTeX), and set up the persistent course-wiki workspace.

191 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use add-voice-transcription, add-discord and 10 more.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 170 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Vision Support setup: If vision-support/config.json does not exist, the CLI prints the init command.

    line 39
  2. Distinctive:

    Verify vision-support: After configuration, test with:

    line 41
  3. Distinctive:

    Never ask for passwords in chat.

    line 47

“Common” is measured: kept by at least 6 in 10 of the 170 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Setup

Configure credentials, dependencies, and workspace for Look Tongji Notes.

When to Use

  • User says /setup or asks to configure the skill.
  • First-time setup before transcribing lectures.
  • User wants to change or migrate the course knowledge-base path.

Workflow

  1. Run setup:
python "<SKILL_DIR>/../../scripts/look_tongji.py" setup
  1. Non-interactive workspace options:
python "<SKILL_DIR>/../../scripts/look_tongji.py" setup \
  --workspace-root "<COURSE_WIKI_ROOT>" \
  --owner-name "<OWNER_NAME>" \
  --site-name "<OWNER_NAME>的课程知识库"
  1. The CLI checks: Python deps (requests, playwright, python-dotenv, markdown, markitdown), ffmpeg, Node.js, vision-support config, and optionally XeLaTeX.
  2. Vision Support setup: If vision-support/config.json does not exist, the CLI prints the init command. The embedded vision-support is at <SKILL_DIR>/../../vision-support/. Help the user configure a vision provider (OpenAI, Google, Anthropic, deepseek, dashscope, zhipuai, ollama, or custom).
  3. Verify vision-support: After configuration, test with:
    node "<SKILL_DIR>/../../vision-support/scripts/vision.mjs" "<SKILL_DIR>/../../komari.jpg"
    The agent should correctly identify image content (should mention "red-haired girl" or equivalent).
  4. Never ask for passwords in chat. Use interactive terminal input or environment variables.

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/).

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