Use quality dependencies freely - default to using existing libraries over reinventing. For Python prefer conda over pip, maintain separate requirements-conda.txt and requirements-pip.txt. Use when adding dependencies, installing packages, or evaluating whether to use a library.
Update this documentation kit safely from upstream.
Update nixpkgs packages with nix-update and nixpkgs-review. Activate when user wants to bump a package version, contribute to nixpkgs, update Nix packages, or mentions nix-update, nixpkgs-review, or nixpkgs contribution.
Complete release workflow including version updates, CHANGELOG management, npm publishing, git tagging, and deployment verification. Use when releasing new versions or publishing packages.
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.
Guide for adding support for new django packages to djdevx
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)
Updates the homebrew tap for the project.
Fix PyPI package name collisions when local package name exists on PyPI
Add a dependency to a Lean project's lakefile. Use when adding requires, dependencies, or imports to a project.
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 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。
Manage semantic version updates for this project. Handles patch, minor, and major version increments following semantic versioning. Updates package.json, marketplace.json, and plugin.json. Creates git tags and GitHub releases. Auto-generates CHANGELOG.md from releases.
Guides creation of new MCP tool packages in @j0kz/mcp-agents monorepo following modular architecture with constants/, helpers/, utils/ extraction, tools.json registration, and version.json synchron...
Generate final reports and packages from accumulated artefacts, with audience-specific options.
Generate semantic versioned releases with changelog and GitHub releases
Create a new app or package from an existing template in the monorepo. Use when adding new apps or packages to the repository.
Sets up reproducible development environments using Nix, devenv, and direnv. Manages secrets with SOPS and age encryption. Use when setting up dev environments, configuring project dependencies, or managing environment-specific secrets.
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)
Best practices for structuring prpm.json package manifests with required fields, tags, organization, multi-package management, enhanced file format, and conversion hints
Manage project dependencies across all apps. Use when installing, updating, or managing dependencies, or when user asks to install packages.
Use when exploring Python project structure, finding virtualenv paths (python/pip/pytest), or locating package metadata (name, version, pyproject.toml).
