Cross-Request LRU Caching. Use when you need help with server cache lru.
Scanned 9/8/2026
Install to Claude Code
npx -y skills add anubhavg-icpl/vibe --skill server-cache-lru --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: server-cache-lru
description: Cross-Request LRU Caching. Use when you need help with server cache lru.
license: CC-BY-NC-SA-4.0
metadata:
risk: unknown
source: community
kind: mode
category: rules
---
## Cross-Request LRU Caching
`React.cache()` only works within one request. For data shared across sequential requests (user clicks button A then button B), use an LRU cache.
**Implementation:**
```typescript
import { LRUCache } from "lru-cache";
const cache = new LRUCache<string, any>({
max: 1000,
ttl: 5 * 60 * 1000, // 5 minutes
});
export async function getUser(id: string) {
const cached = cache.get(id);
if (cached) return cached;
const user = await db.user.findUnique({ where: { id } });
cache.set(id, user);
return user;
}
// Request 1: DB query, result cached
// Request 2: cache hit, no DB query
```
Use when sequential user actions hit multiple endpoints needing the same data within seconds.
**With Vercel's [Fluid Compute](https://vercel.com/docs/fluid-compute):** LRU caching is especially effective because multiple concurrent requests can share the same function instance and cache. This means the cache persists across requests without needing external storage like Redis.
**In traditional serverless:** Each invocation runs in isolation, so consider Redis for cross-process caching.
Reference: [https://github.com/isaacs/node-lru-cache](https://github.com/isaacs/node-lru-cache)
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