ai-sdk

Automate AI agent architecture and tool orchestration for Next.js projects.

Updated Mar 3, 2026
One-click install
npx skills add https://github.com/v-mobilelabs/care --skill ai-sdk-v-mobilelabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/v-mobilelabs/care/tree/main/.github/skills/ai-sdk
Command: npx skills add https://github.com/v-mobilelabs/care --skill ai-sdk-v-mobilelabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamline the design, orchestration, and deployment of scalable AI agent ecosystems for modern web apps.

Core Features & Use Cases

  • Standardized agent creation using a factory pattern
  • LangGraph-based routing, RAG gating, and grounding reuse
  • Streaming tool loops, memory context, and pre-context injection
  • Middleware-driven extensibility for pre-run checks and persistence

Quick Start

Create a new agent with createAgent(config) and wire it into LangGraph gateway routing.

Frequently Asked Questions about ai-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build streaming AI agents in Next.js?

To build streaming AI agents in Next.js, use a factory pattern via createAgent(config) and wire it into LangGraph gateway routing to standardize tool orchestration and enable real-time client-side streaming interactions.

What is the best way to orchestrate AI agent tools with LangGraph?

The best way to orchestrate AI agent tools with LangGraph is applying middleware-driven extensibility for pre-run checks, per-request tool closures, and RAG-enabled workflows to route and ground agent interactions.

How do I implement RAG gating and memory context for AI agents?

Implement RAG gating and memory context for AI agents by injecting pre-context into streaming tool loops, utilizing memory tooling, and applying LangGraph-based routing to reuse grounding across production-grade routes.

Can I use middleware for pre-run checks and persistence in AI agent workflows?

Yes, you can use middleware for pre-run checks and persistence in AI agent workflows, applying middleware-driven extensibility to intercept and manage agent execution before routing tasks through the LangGraph gateway.

How do I extract structured data from streaming AI agent outputs?

Extract structured data from streaming AI agent outputs by configuring structured extraction pipelines within your createAgent factory pattern, processing real-time streamed interactions and memory tooling results directly in Next.js.