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Vercel Ai Sdk

Checked
wsimmonds·vlatest·cloud·MIT

Helps with Vercel, AI as part of building AI and machine learning applications workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wsimmonds/claude-nextjs-skills --skill vercel-ai-sdk -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wsimmonds

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Install target

Live repository

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No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

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  • No credential access: passed

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned wsimmonds/claude-nextjs-skills at 9e0aa5f99b.

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Commit
9e0aa5f99b
Manifest
vercel-ai-sdk/SKILL.md
Scanned
1 file, 1,077 lines
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About this skill

The vercel-ai-sdk skill enables AI agents to interact with Vercel's AI SDK, streamlining the integration of generative AI features into Next.js applications. It provides a standardized interface for managing prompts, handling streaming responses, and executing complex AI workflows directly within the Vercel ecosystem.

When to use it

  • Building Next.js applications that require real-time, server-side AI interactions without external API wrappers.
  • Implementing streaming text generation for chat interfaces or code editors to reduce perceived latency.
  • Managing multi-step AI tasks where context retention and structured output formatting are critical.
  • Deploying AI features on Vercel's edge network to ensure low-latency global performance.

Key capabilities

  • Native integration with Next.js App Router for seamless server and client-side rendering.
  • Support for streaming responses to provide instant feedback during long-generation tasks.
  • Tools for defining structured prompts and handling complex reasoning chains.
  • Direct execution of AI logic within Vercel's edge runtime for optimized performance.

Example prompts

  • "Generate a Next.js component that uses the Vercel AI SDK to stream a summary of a provided article."
  • "Create a multi-step workflow using the AI SDK to analyze user input, query an external database, and return a formatted JSON response."
  • "Implement a chat interface with streaming capabilities powered by the Vercel AI SDK for a Next.js app."

Tips & gotchas

Ensure your Next.js project is configured to run on the Vercel platform to fully leverage edge-specific optimizations. Be mindful of token limits and context window constraints when designing complex multi-turn conversations within the SDK.