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Mindrally AI Skills

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浏览 Mindrally 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

143

收录技能的仓库 Stars 合计

3,588

仓库 Forks

286

平均每个技能的仓库 Stars

25

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

143 个技能

全部技能

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

java-spring-development

Mindrally

Java Spring Boot development guidelines with best practices for building robust, secure, and maintainable enterprise applications

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.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。