# redis-js

Reference guides for the @upstash/redis SDK in serverless setups. Teaches AI assistants to query Redis properly without redundant JSON serialization.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1500 installs · ★ 982
- Author: upstash
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/upstash/redis-js/tree/HEAD/skills/SKILL.md
- Updated: 2026-10-22
- HTML: https://affpapa.org/en/nevibecode/skills/redis-js

## What it does

This skill guides coding assistants on using the `@upstash/redis` SDK in TypeScript and JavaScript. Because the SDK automatically handles native types, manual calls to `JSON.stringify` or `parseInt` are unnecessary. The files cover key-value pairs, hashes, sparse index-addressed arrays, and vector search with `redis.vector`.

Included topics cover cache-aside strategies, rate limiting via `@upstash/ratelimit`, distributed locks, and full-text search with metric aggregations. It also explains automatic request batching through pipelines and multi-command transactions.

Running these scripts requires `UPSTASH_REDIS_REST_URL` and `UPSTASH_REDIS_REST_TOKEN` in your environment, since the client communicates with Redis over REST.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add upstash/redis-js --skill redis-js -a claude-code
```
```bash
npx skills add upstash/redis-js --skill skills -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/skills/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/skills/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add upstash/redis-js --skill skills -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/skills/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add upstash/redis-js --skill skills -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/skills/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install upstash/redis-js skills
```

2. **Manually: put the files in place**
- File: `.github/skills/skills/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add upstash/redis-js --skill skills -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/upstash/redis-js --path skills
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/skills/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add upstash/redis-js --skill skills -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/upstash/redis-js/tree/HEAD/skills/SKILL.md

## When to use it
- store native JavaScript objects without manual string serialization
- implement rate limiting using the @upstash/ratelimit package
- build real-time leaderboards using Sorted Sets
- run full-text search queries and bucket aggregations in Redis
- batch operations efficiently with automatic pipelining

## Example prompts
- Save a user session object to Upstash Redis with a one-hour TTL
- Write a rate limiting middleware using @upstash/ratelimit
- Create a vector index and run a nearest-neighbour query using redis.vector

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 6976ff4067b0707f.

BEGIN THIRD-PARTY FILE 6976ff4067b0707f
````text
---
name: redis-js
description: Work with the Upstash Redis JavaScript/TypeScript SDK for serverless Redis operations. Use for caching, session storage, rate limiting, leaderboards, full-text search (querying, filtering, aggregating with @upstash/redis search extension), and all Redis data structures. Supports automatic serialization/deserialization of JavaScript types. Search also available via @upstash/search-redis and @upstash/search-ioredis adapters for TCP clients.
---

# Upstash Redis SDK - Complete Skills Guide

This directory contains comprehensive guides for using the `@upstash/redis` SDK. These skill files are designed to help developers and AI assistants understand and use the SDK effectively.

## Installation

```bash
npm install @upstash/redis
```

## Quick Start

### Basic Initialization

```typescript
import { Redis } from "@upstash/redis";

// Initialize with explicit credentials
const redis = new Redis({
  url: "UPSTASH_REDIS_REST_URL",
  token: "UPSTASH_REDIS_REST_TOKEN",
});

// Or initialize from environment variables
const redis = Redis.fromEnv();
```

### Environment Variables

Set these in your `.env` file:

```bash
UPSTASH_REDIS_REST_URL=https://your-redis.upstash.io
UPSTASH_REDIS_REST_TOKEN=your-token-here
```

## Skill Files Overview

### Data Structures (skills/data-structures/)

Redis data types with auto-serialization examples:

- **strings.md** - GET, SET, INCR, DECR, APPEND with automatic type handling
- **hashes.md** - HSET, HGET, HMGET with object serialization
- **lists.md** - LPUSH, RPUSH, LRANGE with array handling
- **sets.md** - SADD, SMEMBERS, set operations
- **sorted-sets.md** - ZADD, ZRANGE, ZRANK, leaderboard patterns
- **json.md** - JSON.SET, JSON.GET, JSONPath queries for nested objects
- **streams.md** - XADD, XREAD, XGROUP, consumer groups
- **arrays.md** - ARSET, ARINSERT, ARSCAN, ARGREP, AROP, ring buffers with ARRING on sparse index-addressed arrays
- **vector-indexes.md** - VECTOR.CREATE, VECTOR.ADD, VECTOR.QUERY nearest-neighbour search inside Redis via redis.vector

### Advanced Features (skills/advanced-features/)

Complex operations and optimizations:

- **auto-pipeline.md** - Automatic request batching, performance optimization
- **pipeline-and-transactions.md** - Manual pipelines, MULTI/EXEC, WATCH for atomic operations
- **scripting.md** - Lua scripts, EVAL, EVALSHA for server-side logic

### Patterns (skills/patterns/)

Common use cases and architectural patterns:

- **caching.md** - Cache-aside, write-through, TTL strategies
- **rate-limiting.md** - Integration with @upstash/ratelimit package
- **session-management.md** - Session storage and user state management
- **distributed-locks.md** - Lock implementations, deadlock prevention
- **leaderboard.md** - Sorted set leaderboards, real-time rankings

### Performance (skills/performance/)

Optimization techniques and best practices:

- **batching-operations.md** - MGET, MSET, batch operations
- **pipeline-optimization.md** - When to use pipelines, performance tips
- **ttl-expiration.md** - Key expiration strategies, memory management
````
END THIRD-PARTY FILE 6976ff4067b0707f

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