Guide Python 3.14 codebases with uv, ruff, mypy, and asyncio workflows.
npx skills add https://github.com/VKirill/antigravity-for-claude-code --skill python-vkirill
Please help me install this Agent Skill. Skill: python Source: https://github.com/VKirill/antigravity-for-claude-code/tree/main/skills/python Command: npx skills add https://github.com/VKirill/antigravity-for-claude-code --skill python-vkirill
Python teams waste time repeatedly deciding core fundamentals—modern syntax, typing strategy, packaging with uv, lint/format, async patterns, and how to debug the most common runtime errors.
Protocol, TypedDict, ParamSpec, Self, and configuring mypy/ruff in a consistent pyproject.toml workflow.asyncio.TaskGroup, cancellation rules, timeouts, and sync/async bridging.raise ... from, ExceptionGroup + except*, and symptom-indexed fixes for ModuleNotFoundError/ImportError, circular imports, venv pollution, and encoding issues.Use the python skill when you need help choosing idiomatic Python 3.14 syntax and setting up types, uv packaging, ruff formatting, and mypy checks for a new repository.
High-intent search queries and answers about installing and using this skill.
To set up a modern Python project, initialize your repository structure using uv for packaging and dependency management, then configure ruff for linting and formatting alongside mypy for static type checking within a consistent pyproject.toml workflow.
Asyncio TaskGroup provides structured concurrency by managing a group of asynchronous tasks, automatically propagating cancellations if one task fails, and utilizing timeout rules and sync/async bridging to ensure reliable concurrent execution.
The best way to resolve ModuleNotFoundError and circular import issues involves applying symptom-indexed troubleshooting patterns, checking for virtualenv pollution, and verifying correct project structure and package isolation to prevent runtime errors.
PEP 695 introduces new syntax for type parameters, while exception groups allow handling multiple exceptions simultaneously using except* syntax, both representing current language constructs essential for writing reliable modern Python code.
Yes, uv supports CI and Docker usage patterns by providing best-practice project initialization, dependency groups via PEP 735, interpreter pinning, and lockfile discipline to ensure reliable and reproducible builds.
Protocol and TypedDict enable structural subtyping and precise dictionary typing respectively, offering more flexible and accurate type checking alongside ParamSpec and Self types when configuring mypy in a modern Python codebase.
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