Claude Code skills for building AI applications with Next.js 16, AI SDK 6, pgvector, bun, and Ralph Loop. Ideal for operations teams automating full-stack AI app development and deployment.
git clone https://github.com/laguagu/claude-code-nextjs-skills.gitClaude Code AI Skills provides a curated collection of skills for building production AI applications with Next.js 16 and the Vercel AI SDK 6. The skill pack includes generators for full-stack AI apps, chatbots, and semantic search systems using pgvector, all optimized for the bun runtime. Skills cover app scaffolding, React component design with shadcn/ui, Next.js best practices, AI agent development, and PostgreSQL semantic and hybrid search. Operations teams can use these skills to automate the development and deployment of AI-powered dashboards, chatbots with human-in-the-loop workflows, and production-grade frontend interfaces.
Copy or symlink skills to ~/.claude/skills/ (global) or .claude/skills/ (project). Start a full-stack AI app with /ai-app or use individual skills like /ai-sdk-6 or /postgres-semantic-search as needed. Optionally pair with Chrome DevTools MCP and Next.js DevTools MCP servers for enhanced browser and framework inspection.
Generate full-stack AI chatbots with persistence and GDPR compliance
Build semantic search systems with pgvector and hybrid ranking
Scaffold Next.js 16 applications with shadcn/ui components and bun
Implement AI agents with streaming and tool use via AI SDK 6
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/laguagu/claude-code-nextjs-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I need to build a full-stack AI application using Next.js 16, AI SDK 6, and pgvector. The app should [DESCRIBE FUNCTIONALITY]. Here's my existing codebase: [CODEBASE]. Help me implement the following features: [FEATURES]. Also, provide a deployment plan using Bun and Ralph Loop.
Based on your requirements, I'll outline a plan to build a document analysis AI application with the specified technologies. First, let's set up the Next.js 16 project structure with API routes for your AI endpoints. We'll use the AI SDK 6 to create a document processing pipeline that extracts text, performs semantic analysis, and stores results in pgvector for efficient similarity searches. For the frontend, we'll implement a React component that allows users to upload documents and view analysis results. The deployment plan will involve using Bun to bundle your application and Ralph Loop for continuous deployment to your preferred cloud provider. Here's the initial code structure to get started:
Achieve ultra-fast JavaScript execution with built-in bundling and TypeScript support.
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