claude

fastapi-backend

Production-ready FastAPI backend with async/await, Mem0, and deployment

10 on GitHubby AI Development Marketplacev2.0.0MITupdated 1 month agodevelopment
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Plugin fastapi-backend from marketplace ai-dev-marketplace in vanman2024/ai-dev-marketplace. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (6)

  • async-sqlalchemy-patterns

    Async SQLAlchemy 2.0+ database patterns for FastAPI including session management, connection pooling, Alembic migrations, relationship loading strategies, and query optimization. Use when implementing database models, configuring async sessions, setting up migrations, optimizing queries, managing re

  • fastapi-api-patterns

    REST API design and implementation patterns for FastAPI endpoints including CRUD operations, pagination, filtering, error handling, and request/response models. Use when building FastAPI endpoints, creating REST APIs, implementing CRUD operations, adding pagination, designing API routes, handling AP

  • fastapi-auth-patterns

    Implement and validate FastAPI authentication strategies including JWT tokens, OAuth2 password flows, OAuth2 scopes for permissions, and Supabase integration. Use when implementing authentication, securing endpoints, handling user login/signup, managing permissions, integrating OAuth providers, or w

  • fastapi-deployment-config

    Configure multi-platform deployment for FastAPI applications including Docker containerization, Railway, DigitalOcean App Platform, and AWS deployment. Use when deploying FastAPI apps, setting up production environments, containerizing applications, configuring cloud platforms, implementing health c

  • fastapi-project-structure

    Production-ready FastAPI project scaffolding templates including directory structure, configuration files, settings management, dependency injection, MCP server integration, and development/production setup patterns. Use when creating FastAPI projects, setting up project structure, configuring FastA

  • mem0-fastapi-integration

    Memory layer integration patterns for FastAPI with Mem0 including client setup, memory service patterns, user tracking, conversation persistence, and background task integration. Use when implementing AI memory, adding Mem0 to FastAPI, building chat with memory, or when user mentions Mem0, conversat

Slash commands (2)

  • /fastapi-backend:add

    Add a specific feature to an existing FastAPI project. Features include endpoint, auth, database, model, middleware, deploy.

  • /fastapi-backend:build

    Build complete FastAPI backend for new or existing projects with endpoints, authentication, database, and deployment

Subagents (4)

  • database-architect-agent

    Configure async SQLAlchemy, Alembic migrations, and PostgreSQL/Supabase integration for FastAPI

  • deployment-architect-agent

    Generate Docker configurations, deployment scripts, and multi-platform setup for FastAPI (Railway, DigitalOcean, AWS)

  • endpoint-generator-agent

    Generate production-ready FastAPI endpoints with async functions, Pydantic validation, and OpenAPI documentation

  • fastapi-setup-agent

    Initialize FastAPI projects with complete structure, dependencies, configuration, CORS setup, and environment management

View source on GitHub

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