Skill UI

This guide outlines architectural patterns and best practices for building scalable, production-ready APIs with FastAPI. It covers proper project structure, separating concerns using routers, services, and CRUD layers, implementing dependency injection for database sessions and authentication, defining Pydantic schemas for request/response, handling asynchronous operations, and managing custom error responses.

A comprehensive template providing full-stack development guidelines and best practices. This guide details the architecture (Next.js, FastAPI), file structure, common coding patterns (API response handling, state management hooks), and structured methods for integrating AI models (e.g., Claude). Use this template when starting a complex, multi-service application project.

Provides a hardened FastAPI endpoint for OpenMed's core functionalities: clinical Named Entity Recognition (NER), Personally Identifiable Information (PII) extraction, and de-identification. Designed for self-hosted microservices, it handles inference requests, model lifecycle management, and supports dynamic batching, ensuring secure, on-device processing of sensitive clinical data.