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Found 165 Skills
Fastapi Router Creator - Auto-activating skill for Backend Development. Triggers on: fastapi router creator, fastapi router creator Part of the Backend Development skill category.
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 coaching covering language foundations through advanced production patterns. Use when asked to "write Python code", "explain Python concepts", "set up a Python project", "configure Poetry or PDM", "write pytest tests", "create a FastAPI endpoint", "run uvicorn server", "configure alembic migrations", "set up logging", "process data with pandas", or "debug Python errors". Triggers on "Python best practices", "type hints", "async Python", "packaging", "virtual environments", "Pydantic validation", "dependency injection", "SQLAlchemy models".
Comprehensive pytest testing guide for FastAPI backends. Covers unit testing, integration testing, async patterns, mocking, fixtures, coverage, and FastAPI-specific testing with TestClient. Use when writing or updating test code for backend services, repositories, or API routes.
Integration templates for FastAPI endpoints, Next.js UI components, and Supabase schemas for ML model deployment. Use when deploying ML models, creating inference APIs, building ML prediction UIs, designing ML database schemas, integrating trained models with applications, or when user mentions FastAPI ML endpoints, prediction forms, model serving, ML API deployment, inference integration, or production ML deployment.
Ultimate 25+ years expert-level backend skill covering FastAPI, Express, Node.js, Next.js with TypeScript. Includes ALL databases (PostgreSQL, MongoDB, Redis, Elasticsearch), ALL features (REST, GraphQL, WebSockets, gRPC, Message Queues), comprehensive security hardening (XSS, CSRF, SQL injection, authentication, authorization, rate limiting), complete performance optimization (caching, database tuning, load balancing), ALL deployment strategies (Docker, Kubernetes, CI/CD), advanced patterns (microservices, event-driven, saga, CQRS), ALL use cases (e-commerce, SaaS, real-time, high-traffic), complete testing (unit, integration, E2E, load, security). Route protection, middleware, authentication implementation in PERFECTION. Use for ANY backend system requiring enterprise-grade security, performance, scalability, and architectural excellence.
API development workflow and best practices for career_ios_backend FastAPI project. Automatically invoked when user wants to develop, test, or debug API endpoints. Trigger keywords: "API", "endpoint", "route", "FastAPI", "Swagger", "console.html", "測試 API", "API 開發", "端點" Covers development flow, testing requirements, and console integration.
Эксперт ML API. Используй для model serving, inference endpoints, FastAPI и ML deployment.
Build FastAPI services with JWT auth, structlog, and Prometheus metrics. Use when creating or modifying a Python HTTP server, adding authentication, structured logging, or instrumentation to a FastAPI app.
Guides the agent through implementing authentication and authorization in FastAPI applications. Triggered when users ask to "add authentication", "implement login", "add JWT tokens", "create OAuth2 flow", "hash passwords", "protect endpoints", "add role-based access", "implement RBAC", "add API key auth", "secure the API", or mention authentication, authorization, JWT, OAuth2, password hashing, bcrypt, access tokens, refresh tokens, security dependencies, or API security.
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 FastAPI apps with database integration, (3) defining model relationships (one-to-many, many-to-many), (4) performing CRUD operations with type safety, (5) setting up async database sessions, (6) integrating with Alembic migrations, (7) handling model inheritance and mixins, or (8) converting between database models and API schemas.
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.