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Mindrally AI Skills

GitHub ↗

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

Statistiques de l’auteur

Skills indexés

143

Étoiles des dépôts des skills indexés

3,588

Forks du dépôt

286

Moyenne des étoiles par skill indexé

25

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

143 skills

Explorer

GitHub

clean-architecture

Mindrally

Guidelines for implementing Clean Architecture patterns in Flutter and Go applications, with emphasis on separation of concerns, dependency rules, and testability.

GitHub

kotlin-development

Mindrally

Kotlin development guidelines with best practices for clean code, naming conventions, function design, and data handling

GitHub

elixir

Mindrally

Expert in Elixir and Phoenix development with functional programming patterns

GitHub

java-quarkus-development

Mindrally

Java Quarkus development guidelines for building cloud-native applications with fast startup, minimal memory footprint, and GraalVM native builds

GitHub

spring-framework

Mindrally

Expert guidance for Spring Framework and Spring Boot development with Java best practices, dependency injection, and RESTful API design

GitHub

general-best-practices

Mindrally

General software development best practices covering code quality, testing, security, performance, and maintainability across technology stacks

GitHub

backend-development

Mindrally

Guidelines for backend development in C++ and Elixir/Phoenix, covering modern language features, best practices, and production-ready patterns.

GitHub

java

Mindrally

Expert in Java development with Spring Boot and enterprise patterns

GitHub

quarkus

Mindrally

Expert guidance for Quarkus framework development with Jakarta EE, MicroProfile, GraalVM native builds, and reactive programming patterns

GitHub

prisma-development

Mindrally

Comprehensive Prisma ORM development guidelines with TypeScript, schema design, migrations, and best practices.

GitHub

gcp-development

Mindrally

Google Cloud Platform (GCP) development best practices for Cloud Functions, Cloud Run, Firestore, BigQuery, and Infrastructure as Code.

GitHub

beautifulsoup-parsing

Mindrally

Expert guidance for HTML/XML parsing using BeautifulSoup in Python with best practices for DOM navigation, data extraction, and efficient scraping workflows.

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.