Vercel API Endpoint

VerifiedSafe

This skill creates a new Vercel serverless API endpoint following the NuxChain project conventions. It automatically enforces TypeScript, kvCache integration, CORS handling, rate limiting, error handling, and registration in vercel.json. Use this when you need to add a backend handler or a route under /api/.

Sby Skills Guide Bot
DevelopmentIntermediate
6/2/2026
Claude Code
#vercel#serverless#api#typescript#nuxchain

Recommended for

Automated summary

Creates a new Vercel serverless API endpoint for NuxChain following project conventions: TypeScript, caching, rate limiting, CORS, and registration in vercel.json.

Strengths

  • Automates endpoint creation with all best practices built in
  • Automatically handles CORS preflight, caching, and error handling
  • Ensures the endpoint is properly registered in Vercel configuration
  • Uses TTL-based caching for performance optimization
When to use it

When you need to add a serverless API route to an existing Vercel project using NuxChain conventions.

When not to use it

For simple endpoints that don't require caching, CORS, or complex error handling, or if the project does not use Vercel.

Security analysis

Safe
Quality score85/100

The skill only instructs creating API endpoint files using standard Write/Edit tools, with no execution of dangerous commands, no data exfiltration, and no safety bypass. It follows best practices for CORS, error handling, and caching, posing no security risk.

No concerns found

How this analysis is made

Examples

Create a new API endpoint for user data
Create a new API endpoint for fetching user profile data. Use the namespace 'users' and action 'profile'.
Add a route to /api/
Add a new route to /api/products/list that returns a list of products with caching.

name: vercel-api-endpoint description: Create a new Vercel serverless API endpoint for NuxChain. Use when user says "create an API", "new endpoint", "add a route to /api/", "serverless function", or needs a backend handler. Enforces the project's pattern: TypeScript, kvCache, rate limiting, CORS, error handling, and vercel.json registration. allowed-tools: Read, Write, Edit, Glob, Grep model: claude-sonnet-4-5 license: MIT metadata: author: nuxchain version: '1.0.0'

See full skill at: .agents/skills/vercel-api-endpoint/SKILL.md

Vercel API Endpoint — Quick Reference

File Location

api/<namespace>/<action>.ts

Checklist (every new endpoint)

  • [ ] File at api/<namespace>/<action>.ts
  • [ ] Handles OPTIONS (CORS preflight)
  • [ ] Uses kvCache from ../_services/kv-cache-service
  • [ ] try/catch with proper error response
  • [ ] Registered in vercel.json under "functions" and "headers"
  • [ ] Proxy added in vite.config.ts → port 3003
  • [ ] Local handler added in src/server/api-server.js

Template

import type { VercelRequest, VercelResponse } from '@vercel/node';
import { kvCache } from '../_services/kv-cache-service';

export default async function handler(req: VercelRequest, res: VercelResponse) {
  if (req.method === 'OPTIONS') { res.status(200).end(); return; }
  if (req.method !== 'GET') { res.status(405).json({ error: 'Method not allowed' }); return; }
  try {
    const cached = await kvCache.get('key', { namespace: 'ns', ttl: 30 });
    if (cached) return res.json({ success: true, data: cached, cached: true });
    const data = await fetchData();
    await kvCache.set('key', data, { namespace: 'ns', ttl: 30 });
    res.json({ success: true, data, cached: false, timestamp: Date.now() });
  } catch (error) {
    res.status(500).json({ error: 'Internal server error', message: error instanceof Error ? error.message : 'Unknown' });
  }
}

From the file to a first result

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View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/vercel-api-endpoint-mma3jrrz/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/vercel-api-endpoint-mma3jrrz' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/vercel-api-endpoint-mma3jrrz/download' --output '.skill-downloads/vercel-api-endpoint-mma3jrrz/SKILL.md.part' && mv '.skill-downloads/vercel-api-endpoint-mma3jrrz/SKILL.md.part' '.skill-downloads/vercel-api-endpoint-mma3jrrz/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

This file does not provide a usable name/description header for this native procedure. It remains available to download and inspect; use the manual method below.

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/vercel-api-endpoint-mma3jrrz/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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