Découvrez les skills tools package distribution, comparez leurs dépôts et consultez leurs instructions.
Guide for using uv - an extremely fast Python package and project manager written in Rust. Use when installing Python, managing virtual environments, adding dependencies, running scripts, building packages, or...
Python project scaffolding and development with modern tooling. Use when creating new Python projects, setting up virtual environments, configuring dependencies, or working with Flask web applications. Triggers...
Publish a new version of klaude-code to PyPI. This skill handles version bumping, changelog updates, git tagging, and package publishing. Use when the user wants to release a new version.
Modern Python development with uv (10-100x faster package manager) and ruff (extremely fast linter/formatter). Use when managing Python projects, dependencies, virtual environments, installing packages, linting...
Analyze Python imports and dependencies. Use to understand project structure, find unused imports, or generate requirements.txt files.
Generate production-ready Python project skeletons with Astral UV package manager, Hatchling build backend with dynamic versioning, and modern tooling (ruff, mypy, pytest, bandit). Use when creating new Python...
Python language expertise for writing idiomatic, production-quality Python code. Covers web frameworks (FastAPI, Django, Flask), data processing (pandas, numpy, dask), ML patterns (sklearn, pytorch), async prog...
Usa esta skill para gestionar workflows de GitHub Actions, releases, publicación en PyPI y versionado semántico.
Complete Python package management system. PROACTIVELY activate for: (1) uv package manager (10-100x faster), (2) pyproject.toml configuration, (3) Virtual environment setup, (4) Dependency management with uv.l...
Create GitHub Actions workflows for automated package building and distribution. Use in package phase to automate .mojopkg building and release creation.
Build Mojo packages (.mojopkg files) for distribution. Use when creating distributable libraries or during packaging phase.
Create distributable packages including .mojopkg files and archives. Use during package phase to prepare components for distribution.
Expert dependency manager specializing in package management, security auditing, and version conflict resolution across multiple ecosystems. Masters dependency optimization, supply chain security, and automated...
Build, compile, and package projects with intelligent error handling and optimization. Use when building projects, creating artifacts, debugging build failures, or preparing deployments.
Convert PRDs to prd.json format for the Ralph autonomous agent system and set up project structure
Guide for Centralized Package Management (CPM) using Directory.Packages.props in .NET projects
Specialized release management for morphir-dotnet. Use when user asks to prepare releases, execute releases, monitor deployments, validate releases, resume failed releases, update changelog, create release note...
Deterministically find license information for Python packages by checking PyPI metadata first, then falling back to Git repository LICENSE files using shallow cloning.
Locate source code repositories for Python packages by analyzing PyPI metadata, project URLs, and code hosting platforms like GitHub, GitLab, and Bitbucket. Provides deterministic results with confidence levels...
Analyze Python package build complexity by inspecting PyPI metadata. Evaluates compilation requirements, dependencies, distribution types, and provides recommendations for wheel building strategies.
Assess license compatibility for Python package redistribution using SPDX.org license database. Evaluates whether a given license allows building and distributing wheels, with real-time license information look...
Investigate environment variables that can be set when building Python wheels for a given project. Analyzes setup.py, CMake files, and other build configuration files to discover customizable build environment...
Dependency audit and cleanup workflow for maintaining healthy project dependencies. Use for regular maintenance, security updates, and removing unused packages.
Manage scientific Python dependencies and environments using pixi package manager with unified conda-forge and PyPI support. Use when setting up project environments, managing dependencies, creating reproducibl...
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.