Standardizes Python project lifecycles using uv, FastAPI, and enterprise-grade testing and deployment patterns.
This skill provides a comprehensive framework for developing modern, production-ready Python applications. It enforces the use of high-performance tools like uv for dependency management, Ruff for linting, and Mypy for strict type safety. By integrating best practices for FastAPI and FastMCP, it helps developers build scalable web services and Model Context Protocol servers. The skill also guides users through achieving 80%+ test coverage with pytest and creating optimized, multi-stage Docker configurations for cloud-ready deployments.
Key Features
01High-speed dependency management and environment setup using uv
02Comprehensive testing strategies including async support and coverage targets
03Optimized multi-stage Docker builds for minimal image size and security
041 GitHub stars
05Production-grade FastAPI and FastMCP implementation patterns
06Automated linting and formatting standards with Ruff and Mypy
Use Cases
01Bootstrapping a new Python 3.13 project with a standardized directory layout
02Implementing robust Model Context Protocol (MCP) servers using FastMCP
03Containerizing Python applications for scalable deployment on Cloud Run or Kubernetes
