setup

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

2. 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"

3. The CLI checks: Python deps (requests, playwright, python-dotenv, markdown, markitdown), ffmpeg, Node.js, vision-support config, and optionally XeLaTeX.

4. 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).

5. 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).

6. 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/).