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 roedyrustam/vibes-plug --skill vercel-ai-sdk-expertgit clone --depth 1 https://github.com/roedyrustam/vibes-plugWrote 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/roedyrustam/vibes-plug/vercel-ai-sdk-expert)<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/vercel-ai-sdk-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/vercel-ai-sdk-expert/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/vercel-ai-sdk-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/vercel-ai-sdk-expert.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00076 | $0.05803 |
| Opus 5.5 | $0.00030 | $0.02321 |
| Sonnet 5.5 | $0.00015 | $0.01161 |
| Haiku 4.5 | $0.00008 | $0.00580 |
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 6d 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 — 561 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vercel AI SDK Expert (Core, UI & Fullstack AI Engineering)
English
Orchestration & Integration
- Upstream Models & Transports:
ai-llm-integration-expert,frontier-ai-models-expert,gemini-agent-booster - Frontend Presentation & Generative UI:
senior-frontend,nextjs-app-router-expert,ephemeral-generative-ui-architect - Tooling & Swarms:
mcp-server-architect,multi-agent-orchestration,parallel-tool-orchestrator - Contracts & Schemas:
structured-output-contracts,form-validation-expert,typescript-expert - Lifecycle & Governance:
zero-to-prod-orchestrator,session-memory-manager,anti-slop
Description
Production-grade guide for building AI applications using the Vercel AI SDK (Core & UI). Covers unified model provider abstraction (@ai-sdk/anthropic, @ai-sdk/openai, @ai-sdk/google), streaming text and structured objects (streamText, streamObject), dynamic multi-step tool execution loops with maxSteps, client-side React 19 hooks (useChat, useCompletion), streaming data attachments (createDataStreamResponse), and generative UI rendering.
Swarm Synergy: Within the Frontend & UI Swarm, this skill serves as the AI UI Presentation Lead. It translates complex backend multi-agent outputs and streaming tokens into accessible, beautiful web components in Phase 4 & Phase 5.
Trigger Conditions
- Integrating conversational chat, streaming completions, or generative UI in React 19 / Next.js 15.
- Implementing structured data extraction using
generateObjectorstreamObjectwith Zod schemas. - Building autonomous multi-step tool-calling loops on Next.js Route Handlers or Server Actions.
- Switching seamlessly across frontier providers (Claude 5.1 Fable / 5 Sonnet, Gemini 4 Pro / Flash, OpenAI GPT-5.6 / o3 / GPT-4.5, Ollama).
- Building streaming data channels with custom metadata, tool status indicators, and citations.
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.
- 6d ago Changed · +218 lines 01bcbc36a6a5
- 7d ago Changed · +1 lines 29e5a349b178
- 10d ago Changed · +116 lines 88f765c26c34
- 19d ago Changed ca3895e6e74f
- 24d ago Changed 863f1f7889f1
- 25d ago Changed 52f369c54340
- 27d ago Changed · -6 lines · +61 tokens per session 968145d78bd1
- 29d ago Changed · +6 lines · -61 tokens per session 8ccd9c8d7a7d
- 1mo ago Changed · +44 lines 8da608e149f0
- 1mo ago First seen · 182 lines · 76 tokens per session scan A d58896bc3724
vercel-ai-sdk-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (115 stars, last pushed yesterday), licensed MIT. It adds 76 tokens to every session and 5,803 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-12.
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