init-project-course

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Bootstrap a university course or module folder with the canonical teaching structure, guidance, and starter files. Use when creating or migrating a course workspace. Not for checking an existing course without modifying it; use $audit-project-course.

AI & Automation 144 stars 27 forks Updated 3 days ago MIT

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Skill Content

# Init Project Course > Bootstrap a university course or module folder into a clean, navigable structure. Designed for taught modules with lectures, workshops, assessments, and optionally recordings. ## When to Use - University modules with lectures + workshops + assessments - Course folders that have accumulated files over a term - When the user says "organise this module", "init course", "set up this module folder" - Any taught course with recurring weekly components ## When NOT to Use — Escalate - To `init-project-light` if it's a one-off document collection (no lectures/workshops structure) - To `init-project-research` if it's a research project that happens to be for a course --- ## Phase 1: Scan Read everything already in the directory before asking questions. 1. List all files and folders (excluding `.claude/`, `.DS_Store`) 2. Identify content types: - **Lecture PDFs** — files matching `Lecture*` or containing "lecture" in name - **Seminar materials** — files matching `Seminar*`, `Session*`, or containing "seminar" in name (discussion-based modules use seminars instead of lectures) - **Lecture recordings** — video files (`.mp4`, `.mov`, `.mkv`, `.webm`, `.avi`) or folders named `recordings` - **Workshop folders** — folders matching `Workshop*`, `Lab*`, `Week*`, or numbered folders with exercise content - **Assessment folders** — folders containing "group", "individual", "exam", "coursework", "assignment", "portfolio" - **Workshop PDFs** — PDF...

Details

Author
flonat
Repository
flonat/flonat-research
Created
7 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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