nextauth-authentication
Guidelines for implementing NextAuth.js (Auth.js v5) authentication in Next.js applications with session management and security best practices
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。
Guidelines for implementing NextAuth.js (Auth.js v5) authentication in Next.js applications with session management and security best practices
Guidelines for developing with TypeORM, a full-featured ORM for TypeScript and JavaScript supporting multiple databases
Monorepo development guidelines using Tamagui, Turbo, Next.js, Expo, Supabase, and cross-platform best practices.
Vercel and Next.js deployment best practices including server components, edge functions, AI SDK integration, and performance optimization.
Best practices for monorepo development with TypeScript, React, Next.js, Expo, Turbo, and related technologies
Guidelines for .NET backend development with C#, ASP.NET Core, and Entity Framework Core
Expert in Astro framework with static generation and partial hydration patterns
Guidelines for ASP.NET Core web development covering API design, authentication, caching, and best practices
Serverless and microservices development guidelines covering FastAPI, cloud-native patterns, API gateways, and best practices for scalable serverless architectures.
Expert guidance for Remix development with TypeScript, loaders/actions, nested routes, and full-stack web application best practices
Expert in React development with modern patterns, hooks, and performance optimization
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Expert in Python development with best practices across web, data science, and automation
Bitbucket best practices for pull requests, Pipelines CI/CD, Jira integration, and Atlassian ecosystem workflows
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.
GitLab best practices for merge requests, CI/CD pipelines, issue tracking, and DevOps workflows
Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.
Docker containerization best practices for building, securing, and deploying containers.
Expert guidance for GraalVM native image development with Java frameworks, build optimization, and high-performance application deployment
Best practices for Lerna monorepo management, versioning, and publishing
General testing best practices and guidelines for writing comprehensive, maintainable tests across different testing frameworks and languages.
Expert guidance for Micronaut framework development with compile-time dependency injection, GraalVM native builds, and cloud-native microservices
Expert in Terraform infrastructure-as-code with cloud deployment patterns
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。