project-architecture-patterns

What problem does it solve?

Teams often struggle to maintain consistent, scalable backend architectures for complex bioinformatics projects. This Skill provides a clear blueprint of architecture patterns for the rRNA-Phylo project, covering API design, task processing, configuration, testing, and tooling standards to reduce boilerplate and onboarding time.

Core Features & Use Cases

• Standardized project structure: A reusable boilerplate that organizes services, APIs, workers, and data models.
• Dependency injection and configuration: Centralized settings with type-safe validation using Pydantic.
• Async task processing: Patterns for background jobs with Celery and progress reporting.
• Testing & quality patterns: Structured unit and integration test setup, CI-friendly.
• Documentation and governance: Clear API contracts, code organization, and reproducible environments.

Quick Start

Clone a starter backend repository, review the structure, wire in your services, and run the local development server with your preferred environment manager. Then adapt the Celery worker setup and API routes to your domain.