Install this skill
npx skills add jezweb/claude-skillsWorks across Claude Code, Cursor, Codex, Copilot & Antigravity
Vercel KV is a serverless Redis-compatible database managed by Upstash, optimized for low-latency data storage on the Vercel platform. It provides developers with a reliable way to persist application state, manage sessions, and implement caching without configuring or maintaining dedicated Redis infrastructure. By using a straightforward REST API, it allows applications to interact with data using standard key-value operations. The service handles connections automatically, making it ideal for edge functions that require quick access to frequently changing data. Because it operates in a serverless environment, developers must focus on efficient key naming, strict TTL management to prevent memory bloat, and avoiding the storage of oversized payloads. It serves as a secondary data layer to complement primary relational databases rather than replacing them.
When to Use This Skill
- β’Caching complex database queries to reduce primary DB load
- β’Managing ephemeral user session tokens
- β’Implementing custom API rate limiting for specific user IPs
- β’Tracking real-time view counts or analytics metrics
How to Invoke This Skill
Example prompts that trigger this skill in Claude Code, Cursor, or Antigravity:
- βset up Vercel KV for my Next.js app
- βhow do I implement rate limiting with Vercel KV
- βcache my database query in Vercel KV
- βwhat is the best way to namespace keys in KV
- βfix Vercel KV environment variable errors
Pro Tips
- π‘Always use namespaced keys (e.g., `user:123`, `post:slug`) to prevent key collisions, organize data logically, and improve maintainability.
- π‘Leverage TTL (`setex`, `expire`) for all temporary data like caches and sessions to automatically manage data lifecycle, reduce storage costs, and ensure data freshness.
- π‘Utilize Vercel KV's atomic operations (e.g., `incr`, `decr`) for counters or other concurrent updates to ensure data integrity without complex locking mechanisms.
What this skill does
- β’Atomic counter operations via incr and decr
- β’Time-to-live (TTL) expiration on all stored keys
- β’Pipeline execution to bundle multiple commands in one round-trip
- β’Built-in JSON serialization and deserialization
- β’Namespaced key storage for organizational integrity
When not to use it
- βStoring large binary files or assets exceeding 1MB
- βUsing as a primary database for complex relational data
- βSituations requiring high-complexity joins or transactions across multiple keys
Example workflow
- Pull environment variables into local configuration using the Vercel CLI
- Initialize the KV client within the application code
- Construct namespaced keys for the specific data type being stored
- Use setex to store data with an associated expiration time
- Retrieve and validate the value, handling null cases for missing records
- Execute pipeline commands if performing bulk updates to minimize latency
Prerequisites
- βVercel account with a created KV store
- βNode.js environment
- βAccess to Vercel project environment variables
Pitfalls & limitations
- !Failing to set TTL causing permanent memory leaks
- !Storing BigInt or circular references which break JSON serialization
- !Exceeding free-tier command limits in high-traffic applications
- !Data collisions from using generic, non-namespaced key names
FAQ
How it compares
Unlike manual Redis setups requiring server management, Vercel KV provides a zero-config, serverless API that is specifically tuned for edge performance and environment-variable-based authentication.
π Full skill instructions β original source: jezweb/claude-skills
**Last Updated**: 2026-01-21
**Version**: @vercel/[email protected] (Redis-compatible, powered by Upstash)
---
## Quick Start
# Create KV: Vercel Dashboard β Storage β KV
vercel env pull .env.local # Creates KV_REST_API_URL and KV_REST_API_TOKEN
npm install @vercel/kv**Basic Usage**:
import { kv } from '@vercel/kv';
// Set with TTL (expires in 1 hour)
await kv.setex('session:abc', 3600, { userId: 123 });
// Get
const session = await kv.get('session:abc');
// Increment counter (atomic)
const views = await kv.incr('views:post:123');**CRITICAL**: Always use namespaced keys (
user:123 not 123) and set TTL for temporary data.---
## Common Patterns
**Caching** (cache-aside):
const cached = await kv.get(post:${slug});
if (cached) return cached;
const post = await db.query.posts.findFirst({ where: eq(posts.slug, slug) });
await kv.setex(post:${slug}, 3600, post); // Cache 1 hour
return post;**Rate Limiting**:
async function checkRateLimit(ip: string): Promise<boolean> {
const key = ratelimit:${ip};
const current = await kv.incr(key);
if (current === 1) await kv.expire(key, 60); // 60s window
return current <= 10; // 10 requests per window
}**Session Management**:
const sessionId = crypto.randomUUID();
await kv.setex(session:${sessionId}, 7 * 24 * 3600, { userId });**Pipeline** (batch operations):
const pipeline = kv.pipeline();
pipeline.set('user:1', data);
pipeline.incr('counter');
const results = await pipeline.exec(); // Single round-trip**Key Naming**: Use namespaces like
user:123, post:abc:views, ratelimit:ip:endpoint---
## Critical Rules
**Always**:
- β Set TTL for temporary data (
setex not set)- β Use namespaced keys (
user:123 not 123)- β Handle null returns (non-existent keys)
- β Use pipeline for batch operations
**Never**:
- β Forget to set TTL (memory leak)
- β Store large values >1MB (use Vercel Blob)
- β Use KV as primary database (it's a cache)
- β Store non-JSON-serializable data (functions, BigInt, circular refs)
---
## Known Issues Prevention
This skill prevents **15 documented issues**:
### Issue #1: Missing Environment Variables
**Error**:
Error: KV_REST_API_URL is not defined or KV_REST_API_TOKEN is not defined**Source**: https://vercel.com/docs/storage/vercel-kv/quickstart | [GitHub Issue #759](https://github.com/vercel/storage/issues/759)
**Why It Happens**: Environment variables not set locally or in deployment. In monorepos (Turborepo/pnpm workspaces), abstracting
@vercel/kv into a shared package can cause Vercel builds to fail even though local builds work.**Prevention**: Run
vercel env pull .env.local and ensure .env.local is in .gitignore. For monorepos, either (1) create client in consuming app not shared package, (2) use Vercel Environment Variables UI to set at project level, or (3) add env vars to turbo.json pipeline config: { "pipeline": { "build": { "env": ["KV_REST_API_URL", "KV_REST_API_TOKEN"] } } }.### Issue #2: JSON Serialization Error
**Error**:
TypeError: Do not know how to serialize a BigInt or circular reference errors. Also, hset() coerces numeric strings to numbers.**Source**: https://github.com/vercel/storage/issues/89 | [GitHub Issue #727](https://github.com/vercel/storage/issues/727)
**Why It Happens**: Trying to store non-JSON-serializable data (functions, BigInt, circular refs). Additionally, when using
hset() to store string values that look numeric (e.g., '123456'), hgetall() returns them as numbers, breaking type consistency.**Prevention**: Only store plain objects, arrays, strings, numbers, booleans, null. Convert BigInt to string. For hash fields with numeric strings, either (1) use non-numeric prefix like
'code_123456', (2) store as JSON string and parse after retrieval, or (3) validate and recast types: String(value.field) after hgetall().### Issue #3: Key Naming Collisions
**Error**: Unexpected data returned, data overwritten by different feature
**Source**: Production debugging, best practices
**Why It Happens**: Using generic key names like
cache, data, temp across different features**Prevention**: Always use namespaced keys:
feature:id:type pattern.### Issue #4: TTL Not Set
**Error**: Memory usage grows indefinitely, old data never expires
**Source**: Vercel KV best practices
**Why It Happens**: Using
set() without setex() for temporary data**Prevention**: Use
setex(key, ttl, value) for all temporary data. Set appropriate TTL (seconds).### Issue #5: Rate Limit Exceeded (Free Tier)
**Error**:
Error: Rate limit exceeded or commands failing**Source**: https://vercel.com/docs/storage/vercel-kv/limits
**Why It Happens**: Exceeding 30,000 commands/month on free tier
**Prevention**: Monitor usage in Vercel dashboard, upgrade plan if needed, use caching to reduce KV calls.
### Issue #6: Storing Large Values
**Error**:
Error: Value too large or performance degradation**Source**: https://vercel.com/docs/storage/vercel-kv/limits
**Why It Happens**: Trying to store values >1MB in KV
**Prevention**: Use Vercel Blob for files/images. Keep KV values small (<100KB recommended).
### Issue #7: Type Mismatch on Get
**Error**: TypeScript errors, runtime type errors. Generic
kv.get<T>() sometimes returns null even when data exists.**Source**: Common TypeScript issue | [GitHub Issue #510](https://github.com/vercel/storage/issues/510)
**Why It Happens**:
kv.get() returns unknown type, need to cast or validate. Additionally, there's a type inference bug where using generics like kv.get<T>() can cause the function to return null even when CLI shows data exists, due to serialization/deserialization issues.**Prevention**: Don't use generics with
get(). Instead, retrieve without type parameter and cast after retrieval: const rawData = await kv.get('key'); const data = rawData as MyType | null;. Validate with Zod or type guards before using.### Issue #8: Pipeline Errors Not Handled
**Error**: Silent failures, partial execution
**Source**: https://github.com/vercel/storage/issues/120
**Why It Happens**: Pipeline execution can have individual command failures
**Prevention**: Check results array from
pipeline.exec() and handle errors.### Issue #9: Scan Operation Inefficiency
**Error**: Slow queries, timeout errors. In v3.0.0+, cursor type changed from
number to string.**Source**: Redis best practices | [Release Notes v3.0.0](https://github.com/vercel/storage/releases/tag/@vercel/[email protected])
**Why It Happens**: Using
scan() with large datasets or wrong cursor handling. Version 3.0.0 introduced a breaking change where scan cursor is now string instead of number.**Prevention**: Limit
count parameter, iterate properly with cursor, avoid full scans in production. In v3.0.0+, use let cursor: string = "0" and compare with cursor !== "0" (not !== 0).### Issue #10: Missing TTL Refresh
**Error**: Session expires too early, cache invalidates prematurely
**Source**: Production debugging
**Why It Happens**: Not refreshing TTL on access (sliding expiration)
**Prevention**: Use
expire(key, newTTL) on access to implement sliding windows.### Issue #11: scanIterator() Infinite Loop (v2.0.0+)
**Error**:
for await loop never terminates when using kv.scanIterator()**Source**: [GitHub Issue #706](https://github.com/vercel/storage/issues/706)
**Why It Happens**: Bug in v2.0.0+ where iterator doesn't properly signal completion. The iterator processes keys correctly but never exits, preventing the function from returning. Also affects
sscanIterator().**Prevention**: Use manual
scan() with cursor instead of scanIterator().// Don't use scanIterator() - it hangs in v2.0.0+
for await (const key of kv.scanIterator()) {
// This loop never terminates
}
// Use manual scan with cursor instead
let cursor: string = "0"; // v3.x uses string
do {
const [newCursor, keys] = await kv.scan(cursor);
cursor = newCursor;
for (const key of keys) {
const value = await kv.get(key);
// process key/value
}
} while (cursor !== "0");### Issue #12: zrange() with rev: true Returns Empty Array
**Error**:
kv.zrange(key, 0, -1, { rev: true }) returns empty array even though data exists**Source**: [GitHub Issue #742](https://github.com/vercel/storage/issues/742)
**Why It Happens**: SDK bug in reverse flag handling for certain key patterns. CLI always returns correct values. Removing the
rev flag returns data correctly.**Prevention**: Omit
rev flag and reverse in-memory, or use zrevrange() instead.// This sometimes returns empty array (BUG)
const chats = await kv.zrange(user:chat:${userId}, 0, -1, { rev: true });
// [] - but CLI shows 12 items
// Workaround 1: Omit rev flag and reverse in-memory
const chats = await kv.zrange(user:chat:${userId}, 0, -1);
const reversedChats = chats.reverse();
// Workaround 2: Use zrevrange instead
const chats = await kv.zrevrange(user:chat:${userId}, 0, -1);### Issue #13: Next.js Dev Server Returns Null on First Call
**Error**:
kv.get() returns null on first call after starting dev server, correct data on subsequent calls**Source**: [GitHub Issue #781](https://github.com/vercel/storage/issues/781)
**Why It Happens**: Next.js static rendering caches the first response. Happens on each compilation restart in Next.js dev server.
**Prevention**: Force dynamic rendering with
unstable_noStore(), use cache: 'no-store' in fetch calls, or add retry logic.import { unstable_noStore as noStore } from 'next/cache';
export async function getData() {
noStore(); // Force dynamic rendering
const data = await kv.get('mykey');
return data; // Now returns correct value on first call
}
// Or add retry logic
async function getWithRetry(key: string, retries = 2) {
let data = await kv.get(key);
let attempt = 0;
while (!data && attempt < retries) {
await new Promise(r => setTimeout(r, 100));
data = await kv.get(key);
attempt++;
}
return data;
}### Issue #14: Vite "process is not defined" Error
**Error**:
Uncaught ReferenceError: process is not defined when importing @vercel/kv in Vite**Source**: [GitHub Issue #743](https://github.com/vercel/storage/issues/743)
**Why It Happens**: Vite doesn't polyfill Node.js
process.env by default. @vercel/kv expects process.env to exist.**Prevention**: Use Vite's
define to polyfill, use createClient with import.meta.env, or install vite-plugin-node-polyfills.// Option 1: Vite config with define
// vite.config.ts
import { defineConfig, loadEnv } from 'vite';
export default defineConfig(({ mode }) => {
const env = loadEnv(mode, process.cwd(), '');
return {
define: {
'process.env.KV_REST_API_URL': JSON.stringify(env.KV_REST_API_URL),
'process.env.KV_REST_API_TOKEN': JSON.stringify(env.KV_REST_API_TOKEN),
},
};
});
// Option 2: Use createClient with import.meta.env
import { createClient } from '@vercel/kv';
const kv = createClient({
url: import.meta.env.VITE_KV_REST_API_URL,
token: import.meta.env.VITE_KV_REST_API_TOKEN,
});### Issue #15: Next.js Server Actions Return Stale Data
**Error**:
kv.get() in Server Actions returns stale/cached data even after KV values are updated**Source**: [GitHub Issue #510](https://github.com/vercel/storage/issues/510)
**Why It Happens**: Next.js static rendering caches Server Action responses. Console output appears yellow (cache hit indicator).
**Prevention**: Use
unstable_noStore() to force dynamic rendering, or use route handlers instead of Server Actions.// In Server Actions
'use server'
import { unstable_noStore as noStore } from 'next/cache';
export async function logChat(text: string) {
noStore(); // Force dynamic rendering
let n_usage = await kv.get('n_usage');
// Now returns fresh value, not cached
}
// Or use route handlers (automatically dynamic)
// app/api/chat/route.ts
export async function GET() {
let n_usage = await kv.get('n_usage'); // Fresh data
return Response.json({ n_usage });
}---
## Version Migration Guide
### v3.0.0 Breaking Changes
**Cursor Type Changed** ([Release Notes](https://github.com/vercel/storage/releases/tag/@vercel/[email protected])):
- Scan cursor now returns
string instead of number- Update comparisons from
cursor !== 0 to cursor !== "0"// v2.x
let cursor: number = 0;
do {
const [newCursor, keys] = await kv.scan(cursor);
cursor = newCursor;
} while (cursor !== 0);
// v3.x
let cursor: string = "0";
do {
const [newCursor, keys] = await kv.scan(cursor);
cursor = newCursor;
} while (cursor !== "0");### v2.0.0 Breaking Changes
**Auto-Pipelining Enabled by Default** ([Release Notes](https://github.com/vercel/storage/releases/tag/@vercel/[email protected])):
- Commands now automatically batched for performance
- May cause timing issues in edge cases
- Disable with
enableAutoPipelining: false if needed// If auto-pipelining causes issues, disable it:
import { createClient } from '@vercel/kv';
const kv = createClient({
url: process.env.KV_REST_API_URL,
token: process.env.KV_REST_API_TOKEN,
enableAutoPipelining: false // Disable auto-pipelining
});**scanIterator() Bug Introduced**: v2.0.0+ has infinite loop bug with
scanIterator(). See Issue #11 for workaround.---
## Known Limitations
### Redis Streams Not Supported
**Source**: [Vercel KV Redis Compatibility](https://vercel.com/docs/storage/vercel-kv/redis-compatibility) | [GitHub Issue #278](https://github.com/vercel/storage/issues/278)
@vercel/kv does not support Redis Streams (XREAD, XADD, XGROUP, etc.) even though underlying Upstash Redis supports them. The package lacks stream methods.**Workaround**: Use
@upstash/redis directly for streams:// @vercel/kv doesn't have stream methods
// await kv.xAdd(...) // TypeError: kv.xAdd is not a function
// Use Upstash Redis client directly
import { Redis } from '@upstash/redis';
const redis = new Redis({
url: process.env.KV_REST_API_URL!,
token: process.env.KV_REST_API_TOKEN!,
});
await redis.xadd('stream:events', '*', { event: 'user.login' });
const messages = await redis.xread('stream:events', '0');### Hash Operations Return Objects Not Strings
**Source**: [GitHub Issue #674](https://github.com/vercel/storage/issues/674)
kv.hgetall() returns a JavaScript object, not a JSON string. This confuses developers expecting string serialization.await kv.hset('foobar', { '1834': 'https://example.com' });
const data = await kv.hgetall('foobar');
console.log(typeof data); // "object" not "string"
// It's already an object - use directly
console.log(data['1834']); // 'https://example.com'
// If you need JSON string
const jsonString = JSON.stringify(data);---
## Advanced Patterns
**Distributed Lock** (prevents race conditions):
const lockKey = lock:${resource};
const lockValue = crypto.randomUUID();
const acquired = await kv.setnx(lockKey, lockValue);
if (acquired) {
await kv.expire(lockKey, 10); // TTL prevents deadlock
try {
await processOrders();
} finally {
const current = await kv.get(lockKey);
if (current === lockValue) await kv.del(lockKey);
}
}**Leaderboard** (sorted sets):
await kv.zadd('leaderboard', { score, member: userId.toString() });
// Note: zrange with { rev: true } has a known bug (Issue #12)
// Use zrevrange instead for reliability
const top = await kv.zrevrange('leaderboard', 0, 9, { withScores: true });
const rank = await kv.zrevrank('leaderboard', userId.toString());---
**Last verified**: 2026-01-21 | **Skill version**: 2.0.0 | **Changes**: Added 5 new issues (scanIterator hang, zrange rev bug, Next.js dev server null, Vite process error, Server Actions stale cache), expanded Issues #1, #2, #7, #9 with TIER 1-2 research findings, added Version Migration Guide and Known Limitations sections
How to Use This Skill Unit
Option A: Project-Specific (Recommended)
- Click "Download" above
- In your project, create the directory:
.agent/skills/vercel-kv/ - Save the file as
SKILL.md - The agent will automatically discover the skill based on its description.
Option B: Global Installation (All Agents)
Save the file to these locations to make it available across all projects:
- Claude Code:
~/.claude/skills/jezweb/claude-skills/vercel-kv/SKILL.md - Cursor:
~/.cursor/skills/jezweb/claude-skills/vercel-kv/SKILL.md - Antigravity:
~/.gemini/antigravity/skills/jezweb/claude-skills/vercel-kv/SKILL.md
π Install with CLI:npx skills add jezweb/claude-skills
