Bridging the Gap: How to Use Vercel Agent Skills to Connect AI with Your Tech Stack

vercel-labs/agent-skills

Usually, an AI is just a brain in a jar—it can talk, but it can’t do much. This repository changes that by providing a standardized way for AI agents to interact with the real world (sending emails, checking GitHub, or searching the web).

Here is a breakdown of why this is a game-changer and how you can get started.

When building AI agents, you often run into "tool-calling" or "function-calling." Writing these tools from scratch for every project is a massive time sink.

Vercel’s Agent Skills provides

Ready-to-use Tools
Pre-built functions for popular APIs (GitHub, Slack, Linear, etc.).

Standardization
It uses a consistent interface, making it easy to swap or add skills.

Efficiency
Instead of reading API docs for hours, you just import the skill and go.

The project is built to work seamlessly with the AI SDK, but the skills are essentially structured functions. You can install the core library via npm

npm install @vercel/agent-skills

You'll also need to set up environment variables for the specific services you want to use (e.g., GITHUB_TOKEN).

Let’s say you want to build an agent that can look at your GitHub issues and summarize them. Here’s how you’d implement a skill using the Vercel AI SDK

import { generateText } from 'ai';
import { openai } from '@ai-sdk/openai';
import { githubSkills } from '@vercel/agent-skills/github';

async function runAgent() {
  const { text, toolCalls } = await generateText({
    model: openai('gpt-4o'),
    system: 'You are a helpful project manager assistant.',
    prompt: 'What are the last 3 issues created in the "vercel/next.js" repository?',
    // We pass the skills directly into the tools object
    tools: {
      ...githubSkills,
    },
    maxSteps: 5, // Allows the agent to call the tool and then process the result
  });

  console.log(text);
}

runAgent();

Tool Injection
...githubSkills gives the AI the ability to call functions like listIssues.

Autonomous Loop
With maxSteps, the AI realizes it doesn't know the answer, calls the GitHub API, receives the data, and then writes the final response for you.

Since these skills allow an AI to perform actions (like deleting an issue or sending an email), always ensure you use scoped API tokens. Don't give your agent full admin access to your entire GitHub account!