fastapi-expert
Expert-level FastAPI development for high-performance Python APIs with async support
Skills matching the name, description or GitHub author.
Expert-level FastAPI development for high-performance Python APIs with async support
Scaffolds Pydantic models for request/response validation with advanced validation rules. Use for complex data models. Related: fastapi-endpoint-scaffolder for quick endpoint creation.
Scaffolds a new FastAPI endpoint with Pydantic models, router registration, and tests. Use when creating new backend API endpoints. Related: pydantic-model-scaffolder for complex model validation.
Complete FastAPI API development framework for Python. Provides comprehensive assistance for building APIs with routing, authentication (JWT, OAuth2, Better Auth), Pydantic models, database integration, and dep...
Enforce enterprise-grade project structure (Dispatch style), dependency injection patterns, and async concurrency rules for FastAPI.
FastAPI modern Python web framework. Use for building high-performance APIs, async endpoints, dependency injection, Pydantic validation, OpenAPI documentation, OAuth2 security, WebSockets, and Python backend de...
Generate clean, production-ready FastAPI backends with RESTful API design, Pydantic models, SQLAlchemy database integration, and authentication-ready structure. Use when building new FastAPI projects, creating...
WHEN: FastAPI project review, Pydantic models, async endpoints, dependency injection WHAT: Pydantic validation + Dependency injection + Async patterns + OpenAPI docs + Security WHEN NOT: Django → django-reviewe...
Comprehensive FastAPI best practices, patterns, and conventions for building production-ready Python web APIs. Covers application structure, async patterns, Pydantic models, dependency injection, database integ...
Better Auth JWT verification for Python/FastAPI backends. Use when integrating Python APIs with a Better Auth TypeScript server via JWT tokens. Covers JWKS verification, FastAPI dependencies, SQLModel/SQLAlchem...
FastAPI patterns for building high-performance Python APIs. Covers routing, dependency injection, Pydantic models, background tasks, WebSockets, testing, and production deployment.
FastAPI 0.121+ production patterns with async SQLAlchemy 2.0.44, Pydantic V2.12.4, dependency injection, and enterprise architecture. Use for REST API development.
Comprehensive guidance for FastAPI, Typer, and SQLModel development including patterns, best practices, API design, CLI development, database integration, testing, and common workflows. Use this skill when buil...
Enterprise-grade FastAPI development covering complete full-stack architecture with Next.js/React frontend, Neon Serverless PostgreSQL, SQLModel ORM, security hardening, payment integrations (Stripe, JazzCash,...
Ultimate 25+ years expert-level backend skill covering FastAPI, Express, Node.js, Next.js with TypeScript. Includes ALL databases (PostgreSQL, MongoDB, Redis, Elasticsearch), ALL features (REST, GraphQL, WebSoc...
Automatically applies when creating FastAPI endpoints, routers, and API structures. Enforces best practices for endpoint definitions, dependency injection, error handling, and documentation.
新規 App 基盤構築スキル。 FastAPI + PostgreSQL + Redis + Alembic + React の完全な App 骨架を自動生成。 ユーザーの要件に基づいてカスタマイズ可能。
Build backends with Node.js, Python, Go (NestJS, FastAPI, Django). Use for REST/GraphQL/gRPC APIs, auth (OAuth, JWT), databases, microservices, security (OWASP), Docker/K8s.
Python FastAPI development with uv package manager, modular project structure, SQLAlchemy ORM, and production-ready patterns.
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROACTIVELY for FastAPI development, async optimization,...
Enforces best practices for FastAPI development, ensuring scalable, high-performance, and maintainable APIs. Use when working on server-side Python code involving FastAPI.
FastAPI backend development with SQLAlchemy 2.0, Pydantic v2, and async Python. Use for API endpoints, database models, migrations, authentication, and background tasks.
Guide for developing the API service using Python, FastAPI, Pydantic, and Docker. Use this when creating or modifying API endpoints, models, routers, or backend logic.
FastAPI backend development patterns. Use when creating API endpoints, authentication, database models, or backend logic.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.