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Skills IA tools package distribution

Découvrez les skills tools package distribution, comparez leurs dépôts et consultez leurs instructions.

Catégories: tools package distribution

697–720 sur 849

tools package distribution Effacer les filtres

Explorer

GitHub

package-json

sayali-ingle-pdl

Generates package.json with all necessary dependencies, dev dependencies, and scripts. Fetches latest package versions from npm registry.

GitHub

python-pyupgrade-syntax-modernizer

FlexNetOS

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...

GitHub

python

kprsnt2

Best practices for Python development including PEP 8, modern Python 3.10+ features, and package management.

GitHub

release

CodeVachon

Create a new release version. Use when asked to create a release, prepare a release, bump version, or update the changelog.

GitHub

python-project-scaffold

cha9ro

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...

GitHub

release

noppomario

Release workflow for uti project. Use when user says "release", "create release", "bump version", "publish version", or wants to prepare a new version for distribution.

GitHub

uv-package-manager

Cissou34730

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...

GitHub

uv-workflow

bfmcneill

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.

GitHub

versioning

bfmcneill

Use when releasing, tagging, or bumping versions. Defines semver rules and keeps package.json/pyproject.toml synced with git tags.

GitHub

release-cicd

gYonder

Knowledge about the project's CI/CD pipeline, Semantic Versioning with Conventional Commits, release-please automation, and GoReleaser. Use when working with releases, commits, or CI workflows.

GitHub

homebrew-formula

aRustyDev

Create, test, and maintain Homebrew formulas. Use when adding packages to a Homebrew tap, debugging formula issues, running brew audit/test, or automating version updates with livecheck.

GitHub

version-management

christianearle01

Tracks version consistency across version.json, README, CLAUDE.md, CHANGELOG, and SETUP_CONTEXT. Auto-activates when users ask about version updates, version sync, or what files need updating for a release. Val...

GitHub

basic-uv

Silviase

Use when running or explaining uv or ty commands, managing dependencies/lockfiles/virtualenvs, or running Python in this repo.

GitHub

setup-python-project

Silviase

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...

GitHub

update-changelog

autonomous-bits

Update the CHANGELOG.md file following Keep a Changelog format and semantic versioning. Use this when adding features, fixing bugs, making changes, or preparing releases.

GitHub

002-setup-project

PaulCrossland1

Transform requirements into an executable project scaffold with sequential tasks. Generates tasks.json (task breakdown), ARCHITECTURE.md (technical blueprint), CONTEXT.md (agent briefing), and supporting docs....

GitHub

release-note-writer

MacHu-GWU

Generate and update release notes for sanhe-claude-code-plugins. Use when user wants to create or update release notes, document version changes, or prepare for a new release. Reads git commit history, pyprojec...

GitHub

python-project-metadata

MacHu-GWU

Use when exploring Python project structure, finding virtualenv paths (python/pip/pytest), or locating package metadata (name, version, pyproject.toml).

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.

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