Skills correspondant au nom, à la description ou à l’auteur GitHub.
Fast Python dependency management with uv package manager for virtual environments and project workflows. WHEN: Installing packages with uv, creating virtual environments, managing dependencies with uv.lock, se...
Create distributable Python packages with pyproject.toml, setup.py, and PyPI publishing. WHEN: Packaging Python libraries, creating pyproject.toml/setup.py, building CLI tools with entry points, publishing to P...
Initialize complete Python project with comprehensive documentation, development environment, and tooling. Use when creating a new Python project from scratch.
Use pyupgrade to automatically upgrade Python syntax to newer versions. Activate when: (1) Migrating code from Python 2 to 3, (2) Removing deprecated syntax like 'class Foo(object)', (3) Converting old-style st...
Best practices for Python development including PEP 8, modern Python 3.10+ features, and package management.
Scaffold Python projects with uv (package/Python version manager), hatchling (build tool), and pytest (testing). Generates onion architecture structure with domain, infrastructure, application, and presentation...
Standard workflow for Python dependency management. Use this skill when we need to: (1) Install or remove Python packages, (2) Create or sync virtual environments, (3) Run Python scripts or tests, (4) Debug dep...
Use when creating Python projects, managing dependencies, or running Python scripts. Covers uv package manager commands, best practices, and common patterns for modern Python development.
Use when standardizing Python research code dependencies, environment setup, and lockfiles.
Use when running or explaining uv or ty commands, managing dependencies/lockfiles/virtualenvs, or running Python in this repo.
Bootstrap a new Python project using the OCREvaluation default layout and toolchain (uv, ruff, ty, pre-commit). Use when asked to scaffold a new Python repo, initialize standard folders, or set up uv/ruff/ty/pr...
Detects the Python major and minor version of the current repository
Use when exploring Python project structure, finding virtualenv paths (python/pip/pytest), or locating package metadata (name, version, pyproject.toml).
Use uv and PEP 723 to write self-installing autocontained Python scripts
Python 虚拟环境自动化管理工具。当项目需要创建或管理 Python 虚拟环境（.venv）时使用此技能：检测现有环境、创建新环境、生成 requirements.txt、安装依赖包、配置 Git 忽略规则。
Python development with uv, pytest, ruff, and type hints. Use when writing Python code, running tests, managing Python packages, or working with virtual environments. Covers import organization, type hints, pyt...
Setup and manage Python environments using uv. Initialize projects, create virtual environments, install packages, and manage dependencies with pyproject.toml. Use when setting up new Python projects or managin...
Manage Python environments using uv, venv, and pyproject.toml for dependency management
Python virtual environment management using uv for fast and reliable environment setup. Create, maintain, and manage Python virtual environments with dependency management. Use uv for environment creation, pack...
Sets up a new Python library project using uv in the current directory. Creates project structure, installs dev dependencies, and optionally configures git remote. Use when the user wants to initialise a Python...
Maintain the public Python API for eo-processor, including exports, __all__, docstrings, and type stubs. Use when adding/renaming functions, changing signatures/behavior, or ensuring Python typing and user-faci...
Apply Python tooling standards including uv package management, pytest testing, ruff/mypy code quality, one-line docstrings, and self-documenting code practices. Use this skill when working with Python backend...
Use UV package manager for all Python operations instead of pip/python
Create Python projects with modern best practices. Use when asked to create a Python project, FastAPI app, CLI tool, or Python package. Includes uv for package management, Docker, pre-commit, ruff, FastAPI with...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.