name: backend-project-knowledge description: Backend architecture and implementation conventions for AI Personal Trainer FastAPI services. Use when creating or changing backend endpoints, schemas, controllers, repositories, services, MongoDB models/collections, async task flows, or backend environment/configuration.

Backend Project Knowledge

Use this skill as the canonical backend rulebook.

Read detailed backend reference

Load references/backend-project-knowledge.md before implementing backend features.

It contains:

•Current VCR architecture and directory layout
•Async task pattern for training generation
•API conventions, naming conventions, and schema flow
•MongoDB collections and required fields
•Standard endpoint implementation order
•Environment variables and local run commands
•Backend change checklists

Apply on every backend change

•Keep API messages in English.
•Keep AI-generated training content in Polish.
•Preserve URL and identifier naming conventions.
•Follow Schema -> Repository -> Service -> Controller -> View order for new endpoints.
•Update README.md when backend changes impact usage or architecture.