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Found 176 Skills
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, or API architecture.
Review FastAPI security audit patterns for dependencies and middleware. Use for auditing auth dependencies, CORS configuration, and TrustedHost middleware. Use proactively when reviewing FastAPI apps. Examples: - user: "Audit FastAPI route security" → check for Depends() and Security() usage - user: "Check FastAPI CORS setup" → verify origins when allow_credentials=True - user: "Review FastAPI middleware" → check TrustedHost and HTTPSRedirect config - user: "Secure FastAPI API keys" → move from query params to header schemes - user: "Scan for FastAPI footguns" → check starlette integration and dependency order
Plan and build production-ready FastAPI endpoints with async SQLAlchemy, Pydantic v2 models, dependency injection for auth, and pytest tests. Uses interview-driven planning to clarify data models, authentication method, pagination strategy, and caching before writing any code.
Create Galaxy REST API endpoints with FastAPI routers, Pydantic schemas, and manager pattern. Use for: new API routes, FastAPI endpoints, REST resources, Pydantic request/response models, lib/galaxy/webapps/galaxy/api routers, lib/galaxy/schema definitions, API controller creation.
Audits a FastAPI project against architecture rules. Use when asked to "review routes", "check architecture", "audit this project", "does this follow fastapi rules", or "review my code structure".
Python data validation using type hints and runtime type checking with Pydantic v2's Rust-powered core for high-performance validation in FastAPI, Django, and configuration management.
Comprehensive guide for building production-ready microservices with FastAPI including REST API patterns, async operations, dependency injection, and deployment strategies
Expert guidance for integrating ViewComfy API into web applications using Python and FastAPI
Guides the agent through scaffolding and building FastAPI applications, including project structure, API routes, request/response models, path and query parameters, dependency injection, middleware, error handling, and boilerplate generation. Triggered when the user asks to "scaffold a FastAPI project", "create a FastAPI app", "add an API endpoint", "create a router", "add middleware", "implement dependency injection", "handle errors", "set up CORS", "create background tasks", "implement WebSocket", "structure a FastAPI project", "generate boilerplate", or "add authentication".
Build production-grade FastAPI backends with SQLModel, Dapr integration, and JWT authentication. Use when building REST APIs with Neon PostgreSQL, implementing event-driven microservices with Dapr pub/sub, scheduling jobs, or creating CRUD endpoints with JWT/JWKS verification. NOT when building simple scripts or non-microservice architectures.
Master FastAPI dependency injection for building modular, testable APIs. Use when creating reusable dependencies and services.
Audits and enhances API documentation for FastAPI and REST endpoints. Identifies missing descriptions, incomplete response codes, missing examples, and generates enhanced docstrings, Pydantic model examples, and OpenAPI spec improvements. Triggers on: "generate API docs", "document this API", "OpenAPI for", "add examples to", "improve docstrings", "API documentation audit", "FastAPI docs", "document endpoints", "API reference", "swagger docs", "REST API docs", "endpoint documentation", "response documentation". Use this skill when API endpoints need documentation or documentation audit.