“vercel”

Advanced AI agent benchmark scenarios that push Vercel's cutting-edge platform features — Workflow SDK, AI Gateway, MCP, Chat SDK, Queues, Flags, Sandbox, and…

Deploy applications to Vercel.

View Vercel deployment logs.

AGENTS.md from vercel/vercel: 177 lines covering Repository Structure, Essential Commands, Changesets, Code Style and more.

Audit vercel-plugin performance on real-world projects.

AGENTS.md from vercel/ai: 325 lines covering Project Overview, Repository Structure, Development Setup, Development Commands and more.

End-to-end benchmark suite for vercel-plugin.

Create and launch benchmark test projects to exercise vercel-plugin skill injection across realistic scenarios.

Migrate applications from AI SDK 6.x to AI SDK 7.0.

Answer questions about the AI SDK and help build AI-powered features.

AGENTS.md from vercel/eve: 307 lines covering About eve, Repository layout, Git workflow, Commands and more.

React and Next.js performance optimization guidelines from Vercel Engineering.

Context for working on the next AI SDK major release.

Full-story verification — infers what the user is building, then verifies the complete flow end-to-end: browser → API → data → response.

AGENTS.md from vercel/workflow: 571 lines covering Overview, Architecture, Development commands, Key workflow concepts and more.

**IMPORTANT**: Any change to React or Next.js code must read through this skill first.

Front-desk handbook for the Maple Street kennel, with its reference files.

Guide for adding new AI SDK harness packages.

Create and maintain Architecture Decision Records (ADRs) optimized for agentic coding workflows.

List the contents of an npm package tarball before publishing.

Develop examples for AI SDK functions.

Add new or remove obsolete model IDs for existing AI SDK providers.

Guide for adding first-party AI provider packages to the AI SDK.

Update the primary SDK dependencies of harness packages.