Agent skill

replit-performance-tuning

Optimize Replit API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Replit integrations. Trigger with phrases like "replit performance", "optimize replit", "replit latency", "replit caching", "replit slow", "replit batch".

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/replit-performance-tuning

SKILL.md

Replit Performance Tuning

Overview

Optimize Replit API performance with caching, batching, and connection pooling.

Prerequisites

  • Replit SDK installed
  • Understanding of async patterns
  • Redis or in-memory cache available (optional)
  • Performance monitoring in place

Latency Benchmarks

Operation P50 P95 P99
Read 50ms 150ms 300ms
Write 100ms 250ms 500ms
List 75ms 200ms 400ms

Caching Strategy

Response Caching

typescript
import { LRUCache } from 'lru-cache';

const cache = new LRUCache<string, any>({
  max: 1000,
  ttl: 60000, // 1 minute
  updateAgeOnGet: true,
});

async function cachedReplitRequest<T>(
  key: string,
  fetcher: () => Promise<T>,
  ttl?: number
): Promise<T> {
  const cached = cache.get(key);
  if (cached) return cached as T;

  const result = await fetcher();
  cache.set(key, result, { ttl });
  return result;
}

Redis Caching (Distributed)

typescript
import Redis from 'ioredis';

const redis = new Redis(process.env.REDIS_URL);

async function cachedWithRedis<T>(
  key: string,
  fetcher: () => Promise<T>,
  ttlSeconds = 60
): Promise<T> {
  const cached = await redis.get(key);
  if (cached) return JSON.parse(cached);

  const result = await fetcher();
  await redis.setex(key, ttlSeconds, JSON.stringify(result));
  return result;
}

Request Batching

typescript
import DataLoader from 'dataloader';

const replitLoader = new DataLoader<string, any>(
  async (ids) => {
    // Batch fetch from Replit
    const results = await replitClient.batchGet(ids);
    return ids.map(id => results.find(r => r.id === id) || null);
  },
  {
    maxBatchSize: 100,
    batchScheduleFn: callback => setTimeout(callback, 10),
  }
);

// Usage - automatically batched
const [item1, item2, item3] = await Promise.all([
  replitLoader.load('id-1'),
  replitLoader.load('id-2'),
  replitLoader.load('id-3'),
]);

Connection Optimization

typescript
import { Agent } from 'https';

// Keep-alive connection pooling
const agent = new Agent({
  keepAlive: true,
  maxSockets: 10,
  maxFreeSockets: 5,
  timeout: 30000,
});

const client = new ReplitClient({
  apiKey: process.env.REPLIT_API_KEY!,
  httpAgent: agent,
});

Pagination Optimization

typescript
async function* paginatedReplitList<T>(
  fetcher: (cursor?: string) => Promise<{ data: T[]; nextCursor?: string }>
): AsyncGenerator<T> {
  let cursor: string | undefined;

  do {
    const { data, nextCursor } = await fetcher(cursor);
    for (const item of data) {
      yield item;
    }
    cursor = nextCursor;
  } while (cursor);
}

// Usage
for await (const item of paginatedReplitList(cursor =>
  replitClient.list({ cursor, limit: 100 })
)) {
  await process(item);
}

Performance Monitoring

typescript
async function measuredReplitCall<T>(
  operation: string,
  fn: () => Promise<T>
): Promise<T> {
  const start = performance.now();
  try {
    const result = await fn();
    const duration = performance.now() - start;
    console.log({ operation, duration, status: 'success' });
    return result;
  } catch (error) {
    const duration = performance.now() - start;
    console.error({ operation, duration, status: 'error', error });
    throw error;
  }
}

Instructions

Step 1: Establish Baseline

Measure current latency for critical Replit operations.

Step 2: Implement Caching

Add response caching for frequently accessed data.

Step 3: Enable Batching

Use DataLoader or similar for automatic request batching.

Step 4: Optimize Connections

Configure connection pooling with keep-alive.

Output

  • Reduced API latency
  • Caching layer implemented
  • Request batching enabled
  • Connection pooling configured

Error Handling

Issue Cause Solution
Cache miss storm TTL expired Use stale-while-revalidate
Batch timeout Too many items Reduce batch size
Connection exhausted No pooling Configure max sockets
Memory pressure Cache too large Set max cache entries

Examples

Quick Performance Wrapper

typescript
const withPerformance = <T>(name: string, fn: () => Promise<T>) =>
  measuredReplitCall(name, () =>
    cachedReplitRequest(`cache:${name}`, fn)
  );

Resources

Next Steps

For cost optimization, see replit-cost-tuning.

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