react-patterns
Modern React development with hooks, component patterns, state management, and performance optimization for building scalable applications
浏览 manutej 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。
已收录技能
99收录技能的仓库 Stars 合计
2,766仓库 Forks
527平均每个技能的仓库 Stars
28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。
Modern React development with hooks, component patterns, state management, and performance optimization for building scalable applications
Comprehensive Node.js development skill covering event loop, async patterns, streams, file system, HTTP servers, process management, and modern Node.js best practices
Comprehensive Next.js development skill covering App Router, Server Components, data fetching, routing patterns, API routes, middleware, and full-stack Next.js applications
Core JavaScript language features, patterns, and best practices including ES6+ syntax, async/await, closures, prototypes, and modern development patterns
Comprehensive Vue.js development skill covering Composition API, reactivity system, components, directives, and modern Vue 3 patterns based on official Vue.js documentation
Comprehensive Angular framework development covering components, directives, services, dependency injection, routing, and reactive programming based on official Angular documentation
Mobile-first responsive design covering fluid layouts, media queries, flexbox, grid, viewport units, and responsive images
Comprehensive React development with hooks, components, state management, context, effects, and performance optimization based on official React documentation
Expert guidance for unix-goto shell navigation tool development, including architecture, 9-step feature workflow, testing (100% coverage), performance optimization (
Mobile UX patterns, touch interactions, gesture design, mobile-first principles, app navigation, and mobile performance
Comprehensive Pydantic data validation skill for customer support tech enablement - covering BaseModel, Field validation, custom validators, FastAPI integration, BaseSettings, serialization, and Pydantic V2 fea...
Modern Python API development with FastAPI covering async patterns, Pydantic validation, dependency injection, and production deployment
Comprehensive FastAPI skill for building modern Python web APIs with focus on customer support systems, ticket management, real-time chat, and backend operations
Comprehensive guide for designing RESTful APIs including resource modeling, versioning strategies, HATEOAS, pagination, filtering, and HTTP best practices
Comprehensive guide for building GraphQL APIs including schema design, queries, mutations, subscriptions, resolvers, type system, error handling, authentication, authorization, caching strategies, and productio...
Comprehensive guide for building production-ready microservices with FastAPI including REST API patterns, async operations, dependency injection, and deployment strategies
Comprehensive guide for building production-grade LLM applications using LangChain's chains, agents, memory systems, RAG patterns, and advanced orchestration
Expert integration patterns for Claude API and TypeScript SDK covering Messages API, streaming responses, tool use, error handling, token optimization, and production-ready implementations for building AI-power...
Comprehensive guide for managing vector databases including Pinecone, Weaviate, and Chroma for semantic search, RAG systems, and similarity-based applications
Expert data analysis and manipulation for customer support operations using pandas
Complete guide for Apache Airflow orchestration including DAGs, operators, sensors, XComs, task dependencies, dynamic workflows, and production deployment
Complete guide for Apache Spark data processing including RDDs, DataFrames, Spark SQL, streaming, MLlib, and production deployment
Complete guide for Apache Kafka stream processing including producers, consumers, Kafka Streams, connectors, schema registry, and production deployment
Complete guide for dbt data transformation including models, tests, documentation, incremental builds, macros, packages, and production 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。