Does this skill support modern Python package managers like uv?

Absolutely, it provides optimized installation and execution patterns for uv, pipx, and standard pip environments.

What makes Basedpyright different from standard Pyright?

Basedpyright is a fork of Pyright that includes additional strictness rules and more opinionated defaults, designed to catch errors that standard Pyright might miss.

Can I use this skill to migrate from mypy?

Yes, the skill includes specific mapping and configuration guidance to help you transition from mypy or standard Pyright to Basedpyright effectively.

Is Basedpyright suitable for large production codebases?

Yes, its performance is comparable to Pyright (the fastest in the ecosystem) while providing superior type safety, making it ideal for high-assurance systems.

How do I integrate Basedpyright into my IDE?

The skill offers detailed configuration snippets for Neovim (via nvim-lspconfig) and VS Code to enable real-time type checking and diagnostics.

Basedpyright Type Checking

Name: Basedpyright Type Checking
Author: laurigates

bylaurigates

•

Herramientas para Desarrolladores

Configures and manages Basedpyright for high-performance, strict static type validation in Python projects.

Acerca de

This skill equips Claude with the expertise to implement Basedpyright, a high-performance fork of Pyright that offers stricter type safety and faster execution. It provides comprehensive guidance on project configuration via pyproject.toml, installation through modern tools like uv, and integration with Language Server Protocols (LSP) for real-time diagnostics. Whether migrating from mypy or setting up a new Python project, this skill ensures maximum type safety through advanced rules and opinionated defaults, helping developers catch errors before they reach production.

Características Principales

Stricter-than-Pyright type validation rules
Comprehensive migration guides from mypy and standard Pyright
3 GitHub stars
Customizable strictness levels ranging from basic to all
Seamless integration with uv, pipx, and LSP providers
High-performance static analysis for Python codebases

Casos de Uso

Automating type validation within CI/CD pipelines and pre-commit hooks
Migrating codebases from mypy to a faster, more modern type checker
Implementing maximum type safety in new or existing Python projects

Acerca de

Características Principales

Stricter-than-Pyright type validation rules
Comprehensive migration guides from mypy and standard Pyright
3 GitHub stars
Customizable strictness levels ranging from basic to all
Seamless integration with uv, pipx, and LSP providers
High-performance static analysis for Python codebases

Casos de Uso

Automating type validation within CI/CD pipelines and pre-commit hooks
Migrating codebases from mypy to a faster, more modern type checker
Implementing maximum type safety in new or existing Python projects