Standardize Python 3.10+ code with modern typing and design patterns.
npx skills add https://github.com/carlos-ASG/tu-voz-en-ruta --skill python-carlos-asg
Please help me install this Agent Skill. Skill: python Source: https://github.com/carlos-ASG/tu-voz-en-ruta/tree/main/skills/python Command: npx skills add https://github.com/carlos-ASG/tu-voz-en-ruta --skill python-carlos-asg
## What problem does it solve? It solves the challenge of inconsistent Python code quality by guiding developers to adopt modern typing patterns, dataclasses, enums, protocols, and pattern matching, reducing runtime errors and improving readability and maintainability.
## Core Features & Use Cases
### Quick Start Use this skill to refactor a module by introducing a typed dataclass for a User with a nested Address, replacing loose dictionaries with strict types, and adding a Protocol to describe serialization.
High-intent search queries and answers about installing and using this skill.
You can remove Any and tighten type hints by applying Python type hints, union types with |, TypeAlias, and dataclasses. This enforces strong static analysis and replaces loose dictionaries with structured, strongly typed models.
Protocol-based design defines flexible interfaces for duck-typing in Python. By using Protocols, you describe expected behaviors without inheritance, which improves testability and allows for modular, type-checked code structures.
Yes, pattern matching and type guards enable safer conditional logic in Python 3.10+. They clarify control flow by explicitly narrowing types, which reduces runtime errors and improves code readability.
No, this Python typing approach requires no external dependencies beyond the standard library. It leverages built-in features like dataclasses, enums, and protocols available natively in Python 3.10+.
Use frozen dataclasses for structured data models in Python when you need immutability. Setting frozen=True ensures instances cannot be modified after creation, which prevents accidental state mutations and enforces strict data integrity.
Enums improve Python constants by grouping related explicit values into safer, type-checked namespaces. This replaces loose variables, providing clearer intent and preventing invalid value assignments during static analysis.
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duanbiao2000Enforce Python type safety with annotations, generics, and mypy or pyright.
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