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Found 176 Skills
Python full-stack with FastAPI, React, PostgreSQL, and Docker.
Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.
Use when FastAPI validation with Pydantic models. Use when building type-safe APIs with robust request/response validation.
Guidelines for building production-grade microservices with FastAPI/Python and Go, covering serverless patterns, clean architecture, observability, and resilience.
FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them. Keeps FastAPI code clean and up to date with the latest features and patterns, updated with new versions. Write new code or refactor and update old code.
Serverless and microservices development guidelines covering FastAPI, cloud-native patterns, API gateways, and best practices for scalable serverless architectures.
Expert in FastAPI microservices for serverless and cloud-native environments
System architecture guidance for Python/React full-stack projects. Use during the design phase when making architectural decisions — component boundaries, service layer design, data flow patterns, database schema planning, and technology trade-off analysis. Covers FastAPI layer architecture (Routes/Services/Repositories/Models), React component hierarchy, state management, and cross-cutting concerns (auth, errors, logging). Produces architecture documents and ADRs. Does NOT cover implementation (use python-backend-expert or react-frontend-expert) or API contract design (use api-design-patterns).
Implement secure authentication bridge between Better Auth (Next.js frontend) and FastAPI (Python backend) using JWKS JWT token verification. Use this skill when users need to (1) Integrate Better Auth with FastAPI backend, (2) Implement JWT authentication with JWKS verification, (3) Set up user isolation and authorization in FastAPI endpoints, (4) Configure frontend to send authenticated API requests, or (5) Troubleshoot Better Auth + FastAPI authentication issues.
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices. Use for Python projects, APIs, data processing, or automation scripts.
Python backend implementation patterns for FastAPI applications with SQLAlchemy 2.0, Pydantic v2, and async patterns. Use during the implementation phase when creating or modifying FastAPI endpoints, Pydantic models, SQLAlchemy models, service layers, or repository classes. Covers async session management, dependency injection via Depends(), layered error handling, and Alembic migrations. Does NOT cover testing (use pytest-patterns), deployment (use deployment-pipeline), or FastAPI framework mechanics like middleware and WebSockets (use fastapi-patterns).
Automate documentation updates when API endpoints, functions, or architecture change. Detects code changes that require doc updates, generates API reference from FastAPI routers, updates architecture diagrams, and syncs between internal and external docs.