go
Expert in Go/Golang development with focus on APIs, microservices, and clean architecture
探索开发、内容、数据与办公效率等 AI 技能。先比较用途和仓库热度,再查看技能说明与来源。
Expert in Go/Golang development with focus on APIs, microservices, and clean architecture
Best practices and guidelines for building high-performance services with gRPC and Protocol Buffers
Guidelines for building production-grade microservices with FastAPI/Python and Go, covering serverless patterns, clean architecture, observability, and resilience.
Guidelines for implementing Clean Architecture patterns in Flutter and Go applications, with emphasis on separation of concerns, dependency rules, and testability.
Kotlin development guidelines with best practices for clean code, naming conventions, function design, and data handling
Expert in Elixir and Phoenix development with functional programming patterns
Java Quarkus development guidelines for building cloud-native applications with fast startup, minimal memory footprint, and GraalVM native builds
Best practices and guidelines for Apache Kafka event streaming and distributed messaging
Expert guidance for Spring Framework and Spring Boot development with Java best practices, dependency injection, and RESTful API design
General software development best practices covering code quality, testing, security, performance, and maintainability across technology stacks
Java Spring Boot development guidelines with best practices for building robust, secure, and maintainable enterprise applications
Best practices and guidelines for RabbitMQ message queue development with AMQP protocol
Guidelines for backend development in C++ and Elixir/Phoenix, covering modern language features, best practices, and production-ready patterns.
Expert in Java development with Spring Boot and enterprise patterns
Guidelines for Python and Odoo enterprise application development with ORM, XML views, and module architecture best practices.
Expert guidance for Quarkus framework development with Jakarta EE, MicroProfile, GraalVM native builds, and reactive programming patterns
Best practices and guidelines for MQTT messaging in IoT and real-time communication systems
Comprehensive Prisma ORM development guidelines with TypeScript, schema design, migrations, and best practices.
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Best practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python
Best practices for Pandas data manipulation, analysis, and DataFrame operations in Python
Google Cloud Platform (GCP) development best practices for Cloud Functions, Cloud Run, Firestore, BigQuery, and Infrastructure as Code.
Expert guidance for natural language processing development using transformers, spaCy, NLTK, and modern NLP techniques.
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。