Standardize Python development with type hints, Pydantic v2, and DI principles.
npx skills add https://github.com/siviter-xyz/dot-agent --skill python-siviter-xyz
Please help me install this Agent Skill. Skill: python Source: https://github.com/siviter-xyz/dot-agent/tree/main/skills/python Command: npx skills add https://github.com/siviter-xyz/dot-agent --skill python-siviter-xyz
This skill provides clear Python development guidelines and best practices to improve code quality, readability, and maintainability across projects.
Scaffold a Python package that includes type hints, docstrings, DI-friendly design, and unit tests.
High-intent search queries and answers about installing and using this skill.
Python project structuring best practices involve applying DRY, KISS, and SOLID principles alongside single-responsibility modules. You should use consistent type hints, Pydantic v2 data models, and Protocol interfaces for composition to ensure maintainability and robust design.
Setting up pytest for Python code quality requires a pytest-oriented testing structure combined with proper mock usage. This testing approach validates your modules while design principles like dependency injection keep your codebase maintainable and robust.
Yes, SOLID and dependency injection principles apply to Python projects of any size. This approach standardizes development practices to elevate code quality and maintainability, guiding design decisions, style, testing, and environment patterns across small and large codebases.
The best way to enforce DRY and KISS principles in Python development is standardizing style with descriptive naming, comprehensive docstrings, and disciplined imports. Composition with Protocol interfaces and single-responsibility modules further elevates code quality and readability.
Yes, type hints and docstrings are needed for Python modules to meet code quality standards. Encouraging descriptive naming, comprehensive docstrings, and consistent type hints ensures readability and maintainability across your project's design decisions and environment patterns.
zb-ssEnforces Python coding standards including PEP 8, type hints, and pytest testing.
JFrangelAudit code quality and generate unit/integration tests for Jest, Vitest, Cypress, and Playwright.
jacexhConfigure ruff, mypy, black, and Google-style docstrings for Python projects.
Brite-NitesApply architectural patterns for FastAPI/Python backends across eight categories.
