Optimize Fireflies.ai API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Fireflies.ai integrations. Trigger with phrases like "fireflies performance", "optimize fireflies", "fireflies latency", "fireflies caching", "fireflies slow", "fireflies batch".
View on GitHubjeremylongshore/claude-code-plugins-plus-skills
fireflies-pack
plugins/saas-packs/fireflies-pack/skills/fireflies-performance-tuning/SKILL.md
February 1, 2026
Select agents to install to:
npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/main/plugins/saas-packs/fireflies-pack/skills/fireflies-performance-tuning/SKILL.md -a claude-code --skill fireflies-performance-tuningInstallation paths:
.claude/skills/fireflies-performance-tuning/# Fireflies.ai Performance Tuning
## Overview
Optimize Fireflies.ai API performance with caching, batching, and connection pooling.
## Prerequisites
- Fireflies.ai 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 cachedFireflies.aiRequest<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 firefliesLoader = new DataLoader<string, any>(
async (ids) => {
// Batch fetch from Fireflies.ai
const results = await firefliesClient.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([
firefliesLoader.load('id-1'),
firefliesLoader.load('id-2'),
firefliesLoader.load('id-3'),
]);
```