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.
Apply Python tooling standards including uv package management, pytest testing, ruff/based-pyright code quality, one-line docstrings, and self-documenting code practices. Use this skill when working with Python backend code, managing dependencies, running tests, or ensuring code quality. Apply when installing packages, writing tests, formatting code, type checking, adding docstrings, organizing imports, or deciding whether to create new files vs. extending existing ones. Use for any Python development task requiring adherence to tooling standards and best practices.
Rust 核心驱动的高性能 Python Tars (JCE) 协议库。定义 Struct schema 进行二进制编解码，或使用 TarsDict 做无 schema 的 Raw 模式。使用场景：(1) 定义 JCE 请求/响应 Struct，(2) 使用 TarsDict 构造动态协议数据，(3) encode/decode 二进制数据，(4) wrap_simplelist 嵌套编码，(5) CLI 调试 JCE 二进制，(6) Meta 约束校验，(7) Schema 演进与版本兼容。触发词：tarsio, Tars, JCE, Struct, TarsDict, encode, decode, field, wrap_simplelist, jce.dumps, jce.loads。
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.