Can I use this for real-time leaderboards?

Absolutely, the skill includes patterns for using Redis sorted sets (zadd, zrange, zrevrank) specifically designed for leaderboard implementations.

Does this skill handle environment variables?

Yes, it provides guidance and patterns for managing KV_REST_API_URL and KV_REST_API_TOKEN using the Vercel CLI to ensure secure local development.

How does it prevent memory leaks?

It enforces critical rules for setting Time-To-Live (TTL) on temporary data using setex and expire commands to avoid indefinite storage growth.

Is it compatible with Next.js Edge Runtime?

Yes, it provides specific code examples and implementations tailored for the Edge Runtime, Server Actions, and standard API routes.

Does it support complex data types?

It handles standard JSON-compatible objects and provides specific fixes for common serialization issues, such as converting BigInt to strings.

Vercel KV Storage & Caching

Name: Vercel KV Storage & Caching
Author: secondsky

bysecondsky

•

データベース管理

Implements production-ready Vercel KV (Redis) storage patterns for caching, session management, and rate limiting in serverless applications.

概要

This skill enhances Claude's ability to architect and implement Vercel KV storage solutions using Redis-compatible logic. It focuses on production stability by providing standardized patterns for cache-aside strategies, distributed locking, and atomic operations. Users benefit from built-in troubleshooting for common issues such as environment configuration errors, serialization limitations, and rate limit management, making it an essential tool for high-performance Next.js and Edge-based applications.

主な機能

Production-ready patterns for Cache-Aside and Write-Through caching
21 GitHub stars
Atomic operation support for counters, rate limiting, and distributed locks
Pre-built solutions for JSON serialization and BigInt handling
Automated environment variable and dependency configuration guidance
Built-in TTL management to prevent memory leaks and optimize storage usage

ユースケース

Creating distributed locks to prevent race conditions in serverless environments
Building real-time API rate limiters using atomic increment operations
Implementing user session management with automatic expiration in Next.js

概要

主な機能

Production-ready patterns for Cache-Aside and Write-Through caching
21 GitHub stars
Atomic operation support for counters, rate limiting, and distributed locks
Pre-built solutions for JSON serialization and BigInt handling
Automated environment variable and dependency configuration guidance
Built-in TTL management to prevent memory leaks and optimize storage usage

ユースケース

Creating distributed locks to prevent race conditions in serverless environments
Building real-time API rate limiters using atomic increment operations
Implementing user session management with automatic expiration in Next.js