Build production Next.js 16 App Router applications using Server Components, Server Actions, Cache Components with 'use cache', caching APIs, Route Handlers, metadata files, async params, proxy.ts migrations, and React 19.2 features for SSR and optimized performance.
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npx claudepluginhub secondsky/claude-skills --plugin nextjsExpert Next.js 16 + React 19 with App Router, Server Components, Prisma 7, and Better Auth
fusengineNext.js development expertise with skills for App Router, Server Components, Route Handlers, Server Actions, and authentication patterns
davepoonComprehensive Next.js 15.5/16 expertise system covering App Router, Server Components, Server Actions, Cache Components ('use cache'), Turbopack, middleware/proxy.ts, View Transitions, Modal.com integration, and deployment. PROACTIVELY activate for: (1) ANY Next.js task, (2) App Router layouts/pages/loading/error, (3) Server Components and Client Components, (4) Server Actions with next-safe-action, (5) Cache Components with 'use cache' directive, (6) Route Handlers (API routes) with async params, (7) Middleware (Edge) and proxy.ts (Node.js), (8) Dynamic and parallel routes, (9) Authentication with NextAuth.js, (10) Turbopack development and production builds, (11) View Transitions API, (12) Deployment (Vercel, Docker, static export), (13) Modal.com backend integration for AI/GPU workloads, (14) Next.js + Modal webhooks and long-running jobs, (15) File upload processing with Modal. Provides: Next.js 16 complete features, Cache Components, async params migration, proxy.ts patterns, View Transitions, Turbopack config, App Router file conventions, Server/Client Component patterns, Server Actions with useActionState, caching (Data Cache, Full Route Cache, Router Cache), revalidatePath/revalidateTag, middleware patterns, advanced routing (parallel, intercepting), NextAuth.js authentication, deployment strategies, Modal.com integration patterns for AI inference and heavy compute.
JosiahSiegelDeploy Next.js to Cloudflare Workers via OpenNext adapter. Use for SSR, ISR, App/Pages Router, or encountering worker size limits, runtime compatibility, connection scoping errors.
secondskyReact, Next.js, and TanStack Start development
nodnarbnitramUse this agent for expert assistance with web development tasks using React, Next.js, NestJS, and other modern web frameworks with TypeScript and Tailwind CSS. This includes code analysis, component creation, debugging, performance optimization, and architectural decisions. Examples: <example>Context: User is building a Next.js app and encounters a routing issue. user: 'My dynamic routes in Next.js are not rendering correctly' assistant: 'Let me use the web-dev agent to analyze your Next.js routing setup and provide a solution' <commentary>This is a Next.js-specific routing issue, so the web-dev agent will provide targeted guidance.</commentary></example> <example>Context: User needs a reusable React component with Tailwind CSS. user: 'I need a card component that matches my app's Tailwind-based design system' assistant: 'I'll use the web-dev agent to create a TypeScript-based React card component styled with Tailwind CSS, following your app's design patterns' <commentary>The user requires a component that aligns with their Tailwind CSS design system, so the web-dev agent ensures compatibility.</commentary></example>
devsforgeThis skill provides comprehensive guidance for SAP BTP Job Scheduling Service development, configuration, and operations. It should be used when creating, managing, or troubleshooting scheduled jobs on SAP Business Technology Platform. The skill covers service setup, REST API usage, schedule types and formats, OAuth 2.0 authentication, multitenancy, Cloud Foundry tasks, Kyma runtime integration, and monitoring with SAP Cloud ALM and Alert Notification Service. Keywords: SAP BTP, Job Scheduling, jobscheduler, cron, schedule, recurring jobs, one-time jobs, Cloud Foundry tasks, CF tasks, Kyma, OAuth 2.0, XSUAA, @sap/jobs-client, REST API, asynchronous jobs, action endpoint, run logs, SAP Cloud ALM, Alert Notification Service, multitenancy, tenant-aware, BC-CP-CF-JBS
secondskyProduction-ready SAP BTP best practices for enterprise architecture, account management, security, and operations. Use when planning BTP implementations, setting up account hierarchies, configuring environments, implementing authentication, designing CI/CD pipelines, establishing governance, building Platform Engineering teams, implementing failover strategies, or managing application lifecycle on SAP BTP. Keywords: SAP BTP, account hierarchy, global account, directory, subaccount, Cloud Foundry, Kyma, ABAP, SAP Identity Authentication, CI/CD, governance, Platform Engineering, failover, multi-region, SAP BTP best practices
secondskyGuides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Llama, Gemini, Mistral), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
secondskySAP BTP Cloud Integration Automation Service (CIAS) skill for guided integration workflows. Use when: setting up CIAS subscriptions, configuring destinations, assigning roles (CIASIntegrationAdministrator, CIASIntegrationExpert, CIASIntegrationMonitor), planning integration scenarios, working with My Inbox tasks, monitoring scenario execution, troubleshooting CIAS errors, creating OAuth2 instances, configuring identity providers for CIAS, understanding CIAS security architecture, or integrating SAP products (S/4HANA, SuccessFactors, BTP services, SAP Build, IBP).
secondskySAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage
secondsky