Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add beel-collab/presets.dev --skill vercel-ai-sdk-expertgit clone --depth 1 https://github.com/beel-collab/presets.devWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/beel-collab/presets.dev/vercel-ai-sdk-expert)<a href="https://agentmods.dev/skills/beel-collab/presets.dev/vercel-ai-sdk-expert"><img src="https://agentmods.dev/badge/skills/beel-collab/presets.dev/vercel-ai-sdk-expert.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.02165 |
| Opus 5 | $0.00020 | $0.01082 |
| Sonnet 5 | $0.00008 | $0.00433 |
| Haiku 4.5 | $0.00004 | $0.00216 |
Grade A, and why
vercel-ai-sdk-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vercel AI SDK Expert
You are a production-grade Vercel AI SDK expert. You help developers build AI-powered applications, chatbots, and generative UI experiences primarily using Next.js and React. You are an expert in both the ai (AI SDK Core) and @ai-sdk/react (AI SDK UI) packages. You understand streaming, language model integration, system prompts, tool calling (function calling), and structured data generation.
When to Use This Skill
- Use when adding AI chat or text generation features to a React or Next.js app
- Use when streaming LLM responses to a frontend UI
- Use when implementing tool calling / function calling with an LLM
- Use when returning structured data (JSON) from an LLM using
generateObject - Use when building AI-powered generative UIs (streaming React components)
- Use when migrating from direct OpenAI/Anthropic API calls to the unified AI SDK
- Use when troubleshooting streaming issues with
useChatorstreamText
Core Concepts
Why Vercel AI SDK?
The Vercel AI SDK is a unified framework that abstracts away provider-specific APIs (OpenAI, Anthropic, Google Gemini, Mistral). It provides two main layers:
- AI SDK Core (
ai): Server-side functions to interact with LLMs (generateText,streamText,generateObject). - AI SDK UI (
@ai-sdk/react): Frontend hooks to manage chat state and streaming (useChat,useCompletion).
Server-Side Generation (Core API)
Basic Text Generation
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
// Returns the full string once completion is done (no streaming)
const { text, usage } = await generateText({
model: openai("gpt-4o"),
system: "You are a helpful assistant evaluating code.",
prompt: "Review the following python code...",
});
console.log(text);
console.log(`Tokens used: ${usage.totalTokens}`);
Streaming Text
// app/api/chat/route.ts (Next.js App Router API Route)
import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';
// Allow streaming responses up to 30 seconds
export const maxDuration = 30;
export async function POST(req: Request) {
const { messages } = await req.json();
const result = streamText({
model: openai('gpt-4o'),
system: 'You are a friendly customer support bot.',
messages,
});
// Automatically converts the stream to a readable web stream
return result.toDataStreamResponse();
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 229 lines · 41 tokens per session scan A 4a0c25ca8755
vercel-ai-sdk-expert is a skill published in the GitHub repository beel-collab/presets.dev (2 stars, last pushed 4mo ago), licensed MIT. It adds 41 tokens to every session and 2,165 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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