name: grammarly-performance-tuning description: 'Optimize Grammarly API performance with caching, batching, and connection pooling.

Use when experiencing slow API responses, implementing caching strategies,

or optimizing request throughput for Grammarly integrations.

Trigger with phrases like "grammarly performance", "optimize grammarly",

"grammarly latency", "grammarly caching", "grammarly slow", "grammarly batch".

' allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

• saas
• grammarly
• writing compatibility: Designed for Claude Code

Grammarly Performance Tuning

Latency Benchmarks

Instructions

Cache Score Results

import { LRUCache } from 'lru-cache';
import { createHash } from 'crypto';

const scoreCache = new LRUCache<string, any>({ max: 500, ttl: 3600000 });

async function cachedScore(text: string, token: string) {
  const key = createHash('sha256').update(text).digest('hex');
  const cached = scoreCache.get(key);
  if (cached) return cached;
  const score = await grammarlyClient.score(text);
  scoreCache.set(key, score);
  return score;
}

Parallel API Calls

// Score + AI detect in parallel (they're independent)
async function fullAudit(text: string, token: string) {
  const [score, ai] = await Promise.all([
    grammarlyClient.score(text),
    grammarlyClient.detectAI(text),
  ]);
  return { score, ai };
}

Resources

• Grammarly API

Next Steps

For cost optimization, see grammarly-cost-tuning.