fastapi-expert
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 documentatio
By jeffallan · 5,419 installs
npx skills add jeffallan/claude-skills --skill fastapi-expert
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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:
JWT Authentication Snippet
Reference Guide
Load detailed guidance based on context:
Topic Reference Load When
Pydantic V2 references/pydantic v2.md Creating schemas, validation, model config
SQLAlchemy references/async sqlalchemy.md Async database, models, CRUD operations
Endpoints references/endpoints routing.md APIRouter, dependencies, routing
Authentication references/authentication.md JWT, OAuth2, get current user
Testing references/testing async.md pytest asyncio, httpx, fixtures
Django Migration references/migration from django.md Migrating from Django/DRF to FastAPI
Constraints
MUST DO
Use type hints everywhere (FastAPI requires them)
Use Pydantic V2 syntax ( field validator , model validator , model config )
Use Annotated pattern for dependency injection
Use async/await for all I/O operations
Use X None instead of Optional[X]
Return proper HTTP status codes
Document endpoints (auto generated OpenAPI)
MUST NOT DO
Use synchronous database operations
Skip Pydantic validation
Store passwords in plain text
Expose sensitive data in responses
Use Pydantic V1 syntax ( @validator , class Config )
Mix sync and async code improperly
Hardcode configuration values
Output Templates
When implementing FastAPI features, provide:
1. Schema file (Pydantic models)
2. Endpoint file (router with endpoints)
3. CRUD operations if database involved
4. Brief explanation of key decisions
Knowledge Reference
FastAPI, Pydantic V2, async SQLAlchemy, Alembic migrations, JWT/OAuth2, pytest asyncio, httpx, BackgroundTasks, WebSockets, dependency injection, OpenAPI/Swagger
[Documentation](https://jeffallan.github.io/claude skills/skills/backend/fastapi expert/)