What problem does it solve? Working on the ReadBuddy capstone project requires constant awareness of its tech stack, binding rules, database schema, and manuscript requirements; this Skill injects that full project context automatically so code changes and documentation stay consistent with the source-of-truth documents. ## Core Features & Use Cases - Tech Stack & VRAM Constraints: Enforces Next.js/FastAPI architecture, mms-1b-all ASR with language adapters, Gemma 3 4B via Ollama, and the 8GB GPU phase-separated model loading budget. - Binding Rules R-1 through R-21: Applies constraints on AI usage, data privacy for minors, authentication (httpOnly JWT cookies, bcrypt), language framing, and UI design standards. - Schema & Manuscript Guidance: Provides the 12-table PostgreSQL schema, Phil-IRI rubric, user flow maps, and the SMCC capstone manuscript structural checklist. - Use Case: When asked to add a new student-facing feature, the Skill ensures the implementation respects rules like no student self-registration (R-16), encouraging feedback tone, and the existing reading_sessions schema. ## Quick Start Ask the AI to implement or review any ReadBuddy feature, such as adding a new endpoint for teacher reading-test assignments, and it will apply the project's stack, rules, and schema automatically.
