fastapi-async-patterns
Use when FastAPI async patterns for building high-performance APIs. Use when handling concurrent requests and async operations.
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Use when FastAPI async patterns for building high-performance APIs. Use when handling concurrent requests and async operations.
Use when FastAPI validation with Pydantic models. Use when building type-safe APIs with robust request/response validation.
FastAPI + Pydantic v2 backend workflow: implement/modify API endpoints with thin handlers + service layer, add pytest tests, manage idempotent Alembic migrations, and implement streaming ETL/parsers with invali...
Expert in securing FastAPI applications with JWT tokens and Better Auth. Use this when implementing authentication middleware, route protection, and user isolation.
Expert guidance for building REST APIs with FastAPI framework in Python. Use when (1) creating new FastAPI projects from scratch, (2) implementing API endpoints with routing, (3) working with Pydantic models fo...
Expert guidance for Python testing with pytest framework. Use when (1) writing unit tests or integration tests, (2) setting up test fixtures for setup/teardown, (3) parametrizing tests with multiple inputs, (4)...
Expert guidance for SQLModel - the Python library combining SQLAlchemy and Pydantic for database models. Use when (1) creating database models that work as both SQLAlchemy ORM and Pydantic schemas, (2) building...
Use when implementing shared connection pool for multiple services in same application - provides complete setup steps for FastAPI/multi-service apps without needing examples
FastAPI endpoint development with Pydantic validation, proper error handling, and OpenAPI documentation. Use when creating or modifying API endpoints, routers, or schemas.
Build and maintain the qEEG Council FastAPI backend, CLIProxyAPI upstream client, SQLite persistence, and the 6-stage workflow artifacts and exports.
Expert code writer specializing in production-grade Python, FastAPI, and microservices development. Activated for writing clean, maintainable, well-tested code following best practices for the SaaS platform.
Expert FastAPI backend development for building high-performance REST APIs with Python. Use when building APIs, creating endpoints, implementing CRUD operations, integrating databases (SQL/NoSQL), adding valida...
Expert implementation of user authentication and authorization using Better Auth library for Next.js 15+/React 18+ frontends and Node.js/FastAPI backends with SQL and NoSQL databases. Use when implementing auth...
Instructions for starting the MCP Synth server (FastAPI) for synthetic data generation and tools.
Python, FastAPI, Django, and Flask development patterns and best practices
Build Python backend APIs with FastAPI, Django, Flask, SQLAlchemy, and Pydantic. WHEN: Creating REST APIs, implementing authentication (JWT, OAuth2), database integration with SQLAlchemy/Django ORM, Pydantic va...
Python asyncio patterns for concurrent programming, async/await, and non-blocking I/O operations. WHEN: Building async APIs with FastAPI/aiohttp, implementing concurrent I/O operations, using asyncio.gather/cre...
LangGraph patterns for AI agents and workflows. Use when: building ReAct agents, multi-agent systems, human-in-the-loop, state machines. Do not use for: simple LLM calls (use langchain directly). Workflow: Stan...
REST API design principles, conventions, and patterns. Use when: designing APIs, choosing status codes, error handling, caching, auth patterns. Do not use for: framework-specific implementation (use fastapi, ax...
FastAPI production patterns with Pydantic v2 and SQLAlchemy async. Use when: building Python APIs, async database, JWT auth. Do not use for: API design decisions (use api-design skill). Workflow: api-design (de...
Generate FastAPI project scaffold with uvicorn, OpenAPI docs, and configuration management
This skill should be used when the user asks about "testing FastAPI", "FastAPI tests", "API testing", "test FastAPI endpoints", "mock FastAPI dependencies", "TestClient", "async API tests"
This skill should be used when the user asks about "FastAPI", "FastAPI routes", "FastAPI dependencies", "Pydantic models", "FastAPI middleware", "API endpoints", "OpenAPI", or mentions FastAPI development.
FastAPI framework best practices including Pydantic schemas, dependency injection, and async patterns.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.