Find the perfect capability for your agent.
Expert at creating Nix flakes with flake-parts for development environments. Invoked when users want to set up devShells, configure nix-direnv, create flake.nix files, or build reproducible development environments. Specializes in Python, Node.js, and Rust projects using the flake-parts modular architecture.
Packages and distributes Python libraries using modern pyproject.toml, build backends (setuptools, hatchling), PyPI publishing with trusted publishing, and wheel building. Use when packaging libraries for distribution, publishing to PyPI, or troubleshooting packaging issues.
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 string formatting to f-strings, (4) Updating type hints to modern union syntax (X | Y), (5) Removing obsolete __future__ imports, or (6) Upgrading to a newer Python minimum version.
Automatically applies when managing Python dependencies. Ensures proper use of uv/Poetry, lock files, version constraints, conflict resolution, and dependency security.
Use when creating Python projects, managing dependencies with uv, configuring pyproject.toml, building packages, or publishing to PyPI - covers project initialization, dependency management, and distribution; NOT for testing or performance (plugin:python@dot-claude)
Configure modern Python projects using pyproject.toml (PEP 621), hatchling build system with hatch-vcs for Git-based versioning, uv package manager with lockfile, optional dependencies and dependency-groups (PEP 735), and src-layout package structure. Use when setting up new Python projects, converting from setup.py, configuring CI for Python, or troubleshooting packaging issues.
Python tooling conventions for this organization. Use when working with Python projects, fixing linting issues, or managing dependencies.
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。
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 layers. Use when users request to create a new Python project, initialize Python codebases, set up Python package structure, or need project templates following clean architecture principles.
Use when setting up Python projects, managing dependencies with uv, configuring pyproject.toml, creating project structure, or publishing packages - provides modern Python 3.12+ tooling patterns with uv package manager (plugin:dev-python@pproenca)
Use when exploring Python project structure, finding virtualenv paths (python/pip/pytest), or locating package metadata (name, version, pyproject.toml).
Manages Python library releases including semantic versioning, changelog maintenance (Keep a Changelog format), release automation with GitHub Actions, and deprecation workflows. Use when planning releases, writing changelogs, automating release pipelines, or communicating breaking changes.
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 code, managing dependencies, running tests, or ensuring code quality. Apply when installing packages, writing tests, formatting code, type checking, adding docstrings, organizing imports, or deciding whether to create new files vs. extending existing ones. Use for any Python development task requiring adherence to tooling standards and best practices.
Sets up a new Python project with uv, virtual environment, and best practices for Windows 11. Use this when creating a new Python project or helping users set up their Python development environment with modern tooling.
Guide for publishing MCP servers to NPM (TypeScript/Node.js) or UVX (Python). Use when preparing MCP servers for public distribution, validating package configuration, or walking through the npm publish or uvx/PyPI publishing workflow. Triggers include requests to publish, release, or distribute MCP servers.
Python development guidelines for modern Python projects. Use when creating Python modules, classes, functions, scripts, or working with type hints, pytest, packaging (pip/poetry), virtual environments, async/await, data classes, or Python best practices. Covers project structure, typing, testing patterns, error handling, logging, and Pythonic idioms.
Comprehensive guidance for using uv (Python package manager) in Docker environments with best practices for multi-stage builds, caching, and optimization. Use when containerizing Python applications with uv for production deployments.
Standardize Python development using UV - a fast, unified package and project manager. Use when creating Python projects, managing dependencies, setting up virtual environments, installing Python versions, or optimizing Python workflows. Replaces pip, virtualenv, pyenv, poetry, and pipx with a single 10-100x faster tool.
Sets up a new Rust/Python hybrid library project using maturin and uv. Creates project structure with PyO3 bindings, installs dev dependencies, and optionally configures git remote. Use when the user wants to initialise a Python library with Rust extensions.
