Find the perfect capability for your agent.
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/SQLAlchemy integration, and protected routes.
WHEN: FastAPI project review, Pydantic models, async endpoints, dependency injection WHAT: Pydantic validation + Dependency injection + Async patterns + OpenAPI docs + Security WHEN NOT: Django → django-reviewer, Flask → flask-reviewer, General Python → python-reviewer
FastAPI backend development with SQLAlchemy 2.0, Pydantic v2, and async Python. Use for API endpoints, database models, migrations, authentication, and background tasks.
Comprehensive backend development guide for Python/FastAPI/SQLAlchemy applications. Use when creating routes, services, models, schemas, database operations, or working with FastAPI endpoints, SQLAlchemy/Alembic migrations, Pydantic validation, error handling, dependency injection, or async patterns. Covers layered architecture (routes → services → repositories → models), separation of concerns, error handling, performance, testing strategies, and best practices.
Generate FastAPI endpoint files with Pydantic models, dependency injection, and async handlers. Triggers on "create fastapi endpoint", "generate fastapi router", "python API endpoint", "fastapi route".
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 REST APIs, setting up backend services, implementing CRUD endpoints, or scaffolding Python web applications. Produces Kubernetes-ready, scalable project structures.
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.
Python type annotations and Pydantic best practices. Use when working with types, models, or data structures. Triggers on "type", "types", "typing", "Pydantic", "BaseModel", "dict", "list", "tuple", "annotation", "hint", "Any", "TypedDict", "dataclass", "model", "schema", or when defining function signatures or data models.
Use when creating FastAPI web applications, REST APIs, microservices, or backend services in Python. Also use for implementing FastAPI features like authentication, validation, async endpoints, dependency injection, middleware, or error handling. NOT when working with other web frameworks (Django, Flask) or frontend frameworks.
Load when editing Python files in backend/, api/, routes/, services/, models/, websocket files, or alembic/. Provides FastAPI, async SQLAlchemy, WebSocket, Authentication, and Database Migration patterns.
Architecture patterns for rRNA-Phylo project including FastAPI backend design, service organization, async task processing with Celery, Pydantic schemas, testing with pytest, Biopython integration, and API design conventions. Covers project structure, dependency injection, error handling, and configuration management.
Comprehensive FastAPI best practices, patterns, and conventions for building production-ready Python web APIs. Covers application structure, async patterns, Pydantic models, dependency injection, database integration, authentication, error handling, testing, OpenAPI documentation, performance optimization, and common anti-patterns. Essential reference for FastAPI code reviews and development.
Validates REST API implementations against OpenAPI 3.x specifications. Use when (1) Implementing or reviewing API endpoints, (2) Before deploying API changes to production, (3) Ensuring contract compliance between spec and implementation, or (4) Debugging API integration issues caused by contract mismatches. Works with Python (FastAPI/Flask) backends.
Development guidelines for Quantum Skincare's Python FastAPI image processor microservice. Covers FastAPI patterns, Perfect Corp API integration, MediaPipe FaceMesh validation, correlation headers, access control (CIDR + X-Internal-Secret), error handling, Pydantic models, structured logging, mock mode, provider normalization, and testing strategies. Use when working with image-processor code, routes, validation pipeline, Perfect Corp integration, or Python/FastAPI patterns.
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.
Frappe server-side Python patterns for controllers, document events, whitelisted APIs, background jobs, and database operations. Use when writing controller logic, creating APIs, handling document events, or processing data on the server.
Backend-Frontend integration patterns expert. Type-safe API contracts with Pydantic-Zod validation sync (Python FastAPI) or Prisma-TypeScript native (Next.js). Shadcn forms connected to backend, error handling, loading states. Use when creating full-stack features.
A skill for implementing robust API request validation in Python web frameworks like FastAPI using Pydantic. Covers Pydantic models, custom validators (email, password), field-level and cross-field validation, query/file validation, and structured error responses. Use when you need to validate incoming API requests.
