fastapi-expertlisted

Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python.
ankurCES/blumi-cli · ★ 7 · API & Backend · score 81

Install: claude install-skill ankurCES/blumi-cli

# FastAPI Expert Deep expertise in async Python, Pydantic V2, and production-grade API development with FastAPI. ## When to Use This Skill - Building REST APIs with FastAPI - Implementing Pydantic V2 validation schemas - Setting up async database operations - Implementing JWT authentication/authorization - Creating WebSocket endpoints - Optimizing API performance ## Core Workflow 1. **Analyze requirements** — Identify endpoints, data models, auth needs 2. **Design schemas** — Create Pydantic V2 models for validation 3. **Implement** — Write async endpoints with proper dependency injection 4. **Secure** — Add authentication, authorization, rate limiting 5. **Test** — Write async tests with pytest and httpx; run `pytest` after each endpoint group and verify OpenAPI docs at `/docs` > **Checkpoint after each step:** confirm schemas validate correctly, endpoints return expected HTTP status codes, and `/docs` reflects the intended API surface before proceeding. ## Minimal Complete Example Schema + endpoint + dependency injection in one cohesive unit: ```python # schemas.py from pydantic import BaseModel, EmailStr, field_validator, model_config class UserCreate(BaseModel): model_config = model_config(str_strip_whitespace=True) email: EmailStr password: str name: str | None = None @field_validator("password") @classmethod def password_strength(cls, v: str) -> str: if len(v) < 8: raise ValueError("Password must be at least 8