python-engineer
Expert Python engineering for code review, quality improvement, and debugging. Use when reviewing Python code for best practices, refactoring for cleaner code, debugging errors, improving type safety with type...
按技能名称、说明或 GitHub 作者匹配的结果。
Expert Python engineering for code review, quality improvement, and debugging. Use when reviewing Python code for best practices, refactoring for cleaner code, debugging errors, improving type safety with type...
Use when building FastAPI applications with SQLModel for database models, CRUD operations, and full-stack data management. Also use for implementing relationships, migrations, async queries, and type-safe datab...
Build and deploy enterprise-grade microservices architectures with production-ready patterns, comprehensive observability, advanced security, and operational excellence. Use when: (1) designing multi-service ar...
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 injec...
Skriptoteket frontend development (FastAPI backend + full Vue/Vite SPA) using the HuleEdu-aligned stack (Vue 3.5.x + Vite + TypeScript, Pinia, Vue Router, Tailwind CSS v4 tokens/@theme, HuleEdu design tokens, p...
Local development + build/devops workflow for Skriptoteket (FastAPI + Vue/Vite) using PDM. Use when setting up or troubleshooting local dev (`pdm install`, `.env`, `pdm run dev`, frontend proxy/logs, correlatio...
Master FastAPI dependency injection for building modular, testable APIs. Use when creating reusable dependencies and services.
Use when FastAPI async patterns for building high-performance APIs. Use when handling concurrent requests and async operations.
Use when FastAPI validation with Pydantic models. Use when building type-safe APIs with robust request/response validation.
FastAPI + Pydantic v2 backend workflow: implement/modify API endpoints with thin handlers + service layer, add pytest tests, manage idempotent Alembic migrations, and implement streaming ETL/parsers with invali...
Expert in securing FastAPI applications with JWT tokens and Better Auth. Use this when implementing authentication middleware, route protection, and user isolation.
Expert guidance for building REST APIs with FastAPI framework in Python. Use when (1) creating new FastAPI projects from scratch, (2) implementing API endpoints with routing, (3) working with Pydantic models fo...
Expert guidance for Python testing with pytest framework. Use when (1) writing unit tests or integration tests, (2) setting up test fixtures for setup/teardown, (3) parametrizing tests with multiple inputs, (4)...
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...
Use when implementing shared connection pool for multiple services in same application - provides complete setup steps for FastAPI/multi-service apps without needing examples
FastAPI endpoint development with Pydantic validation, proper error handling, and OpenAPI documentation. Use when creating or modifying API endpoints, routers, or schemas.
Build and maintain the qEEG Council FastAPI backend, CLIProxyAPI upstream client, SQLite persistence, and the 6-stage workflow artifacts and exports.
Expert code writer specializing in production-grade Python, FastAPI, and microservices development. Activated for writing clean, maintainable, well-tested code following best practices for the SaaS platform.
Expert FastAPI backend development for building high-performance REST APIs with Python. Use when building APIs, creating endpoints, implementing CRUD operations, integrating databases (SQL/NoSQL), adding valida...
Expert implementation of user authentication and authorization using Better Auth library for Next.js 15+/React 18+ frontends and Node.js/FastAPI backends with SQL and NoSQL databases. Use when implementing auth...
Instructions for starting the MCP Synth server (FastAPI) for synthetic data generation and tools.
Python, FastAPI, Django, and Flask development patterns and best practices
Build Python backend APIs with FastAPI, Django, Flask, SQLAlchemy, and Pydantic. WHEN: Creating REST APIs, implementing authentication (JWT, OAuth2), database integration with SQLAlchemy/Django ORM, Pydantic va...
Python asyncio patterns for concurrent programming, async/await, and non-blocking I/O operations. WHEN: Building async APIs with FastAPI/aiohttp, implementing concurrent I/O operations, using asyncio.gather/cre...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。