Agent skill · software engineering · aiskillstore
ai-sdk-handler
Integrate Vercel AI SDK for LLMs, Chatbots, Generative UI, and Agentic Workflows.
Why this skill is useful
Adds specific integration patterns and usage examples for the Vercel AI SDK that enhance LLM capabilities beyond generic knowledge.
What it needs
Requires vercel installed locally. Requires vercel account access. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
AI SDK Handler This skill defines how to implement Large Language Model (LLM) features using the Vercel AI SDK. It covers streaming chat, structured object generation, generative UI, and background agents. Note: For Image/Video generation (Replicate, Fal.ai), continue to use ai-handler. Use ai-sdk-handler specifically for text, chat, and agentic text/JSON workflows. When to Use Chatbots: Building interactive chat interfaces (useChat, streamText). Structured Data: Extracting JSON from text (generateObject). Generative UI: Streaming React components directly from the server (streamUI). Agents: Complex, multi-step reasoning tasks (often combined with Inngest). Multimodal: Handling image inputs with text. Capabilities 1. Streaming Chat Tool: streamText (Server), useChat (Client). Pattern: Create a route handler at src/app/api/chat/route.ts. Auth: Wrap with withAuthRequired to protect the route. UI: Use src/components/chat-ui/ for chat components. 2. Generative UI (RSC) Tool: streamUI (Server). Pattern: Return React components based on tool calls. Use Case: Dashboards that build themselves, dynamic reports. 3. Structured Object Generation Tool: generateObject. Pattern: Define a Zod schema and get strictly typed JSON back. Use Case: Populating database forms, extracting itinerary details, categorizing content. 4. Background Agents (with Inngest) Tool: generateText / generateObject inside Inngest steps. Why: Next.js Server Actions/Routes have timeouts (max 60s usually). Agents taking longer must run in the background. Pattern: 1. Trigger Inngest event from UI. 2. Inngest function runs the LLM logic (loops, multi-step). 3. Store result in DB or notify user. 4. Docs: AI SDK Agents. Best Practices 1. Streaming: Always prefer streaming for text generation > 2 seconds to improve perceived latency. 2. Auth: Never expose open AI routes. Always verify session.user.id. 3. Providers: Use @ai-sdk/openai or @ai-sdk/anthropic. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/ai-sdk-handler