Guide modern Python development with type hints, asyncio, testing, and packaging.
npx skills add https://github.com/tankpkg/skills --skill tank-python
Please help me install this Agent Skill. Skill: @tank/python Source: https://github.com/tankpkg/skills/tree/main/skills/python Command: npx skills add https://github.com/tankpkg/skills --skill tank-python
This Skill provides best practices and patterns for building robust, maintainable, and production-ready Python applications, focusing on modern language features and tooling.
asyncio and TaskGroup.pytest and modern packaging with pyproject.toml.asyncio for better performance and maintainability.Show me how to define a dataclass with frozen and slots enabled.
High-intent search queries and answers about installing and using this skill.
Asyncio TaskGroups manage concurrent operations in modern Python by structuring asynchronous tasks within a single scope. This mechanism ensures structured concurrency, automatically cancelling remaining tasks if one fails, for reliable async programming.
Packaging a Python project with pyproject.toml involves defining project metadata, dependencies, and build systems in a single configuration file. This modern packaging standard replaces setup.py, streamlining builds and ensuring reproducible environments.
Pydantic v2 and dataclasses can be used together for data validation by leveraging Pydantic's dataclass support. This approach combines standard library dataclass syntax with Pydantic's fast validation engine to enforce type hints at runtime.
Type hints and match/case statements are needed for production Python when building robust applications requiring static analysis and complex structural pattern matching. These Python 3.10+ features improve code clarity, maintainability, and reduce runtime errors.
Structuring a Python project for reliable testing with pytest involves organizing tests into dedicated directories and utilizing fixtures for setup. This structure ensures isolated, repeatable test execution alongside modern pyproject.toml packaging.
The @tank/python Skill supports refactoring legacy scripts to use type hints and asyncio by providing patterns for modernization. It guides transitioning older codebases to dataclasses and asyncio TaskGroups for better performance and maintainability.
IndianBoy42Apply modern Python 3.10+ static typing patterns to codebases.
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