Rechercher

PythonReactSEOPDF

SlanyCukr AI Skills

GitHub ↗

Explorez les skills IA publiés de SlanyCukr et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

19

Étoiles des dépôts des skills indexés

38

Forks du dépôt

0

Moyenne des étoiles par skill indexé

2

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

19 skills

Explorer

GitHub

nextjs-15

SlanyCukr

Modern React framework for building full-stack web applications with App Router, Server Components, and optimized performance

GitHub

pytest

SlanyCukr

Python testing framework for writing simple, scalable, and powerful tests

GitHub

axios

SlanyCukr

Promise-based HTTP client for making requests from browser and Node.js

GitHub

typescript

SlanyCukr

Framework-focused TypeScript development with types, interfaces, generics, and utility types

GitHub

shadcnui

SlanyCukr

A collection of beautifully designed, accessible UI components built with Radix UI and Tailwind CSS

GitHub

pydantic

SlanyCukr

Data validation and settings management using Python type annotations with Pydantic v2

GitHub

react-19

SlanyCukr

Modern React development with React 19 features, hooks, components, and server-side capabilities

GitHub

zod-v4

SlanyCukr

TypeScript-first schema validation library with static type inference and runtime validation

GitHub

tanstack-query-v5

SlanyCukr

Powerful data fetching and state management library for React applications with server state synchronization, caching, and background updates.

GitHub

uvicorn

SlanyCukr

ASGI server for Python web applications - Fast, production-ready server for async frameworks

GitHub

fastapi-development

SlanyCukr

Build async APIs with FastAPI, including endpoints, dependency injection, validation, and testing. Use when creating REST APIs, web backends, or microservices.

GitHub

httpx

SlanyCukr

A next-generation HTTP client for Python with both sync and async support, perfect for modern Python applications

GitHub

structlog

SlanyCukr

Structured logging for Python applications with context support and powerful processors

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.