gamma-performance-tuning

@jeremylongshore/gamma-performance-tuning

jeremylongshore

1,004

123 forks

Updated 1/18/2026

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Optimize Gamma API performance and reduce latency. Use when experiencing slow response times, optimizing throughput, or improving user experience with Gamma integrations. Trigger with phrases like "gamma performance", "gamma slow", "gamma latency", "gamma optimization", "gamma speed".

Installation

$skills install @jeremylongshore/gamma-performance-tuning

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Codex

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Details

Repositoryjeremylongshore/claude-code-plugins-plus-skills

Pathplugins/saas-packs/gamma-pack/skills/gamma-performance-tuning/SKILL.md

Branchmain

Scoped Name@jeremylongshore/gamma-performance-tuning

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions

name: gamma-performance-tuning description: | Optimize Gamma API performance and reduce latency. Use when experiencing slow response times, optimizing throughput, or improving user experience with Gamma integrations. Trigger with phrases like "gamma performance", "gamma slow", "gamma latency", "gamma optimization", "gamma speed". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Gamma Performance Tuning

Overview

Optimize Gamma API integration performance for faster response times and better throughput.

Prerequisites

Working Gamma integration
Performance monitoring tools
Understanding of caching concepts

Instructions

Step 1: Client Configuration Optimization

import { GammaClient } from '@gamma/sdk';

const gamma = new GammaClient({
  apiKey: process.env.GAMMA_API_KEY,

  // Connection optimization
  timeout: 30000,
  keepAlive: true,
  maxSockets: 10,

  // Retry configuration
  retries: 3,
  retryDelay: 1000,
  retryCondition: (err) => err.status >= 500 || err.status === 429,

  // Compression
  compression: true,
});

Step 2: Response Caching

import NodeCache from 'node-cache';

const cache = new NodeCache({
  stdTTL: 300, // 5 minutes default
  checkperiod: 60,
});

async function getCachedPresentation(id: string) {
  const cacheKey = `presentation:${id}`;

  // Check cache first
  const cached = cache.get(cacheKey);
  if (cached) {
    return cached;
  }

  // Fetch from API
  const presentation = await gamma.presentations.get(id);

  // Cache the result
  cache.set(cacheKey, presentation);

  return presentation;
}

// Cache invalidation on updates
gamma.on('presentation.updated', (event) => {
  cache.del(`presentation:${event.data.id}`);
});

Step 3: Parallel Request Optimization

// Instead of sequential requests
async function getSequential(ids: string[]) {
  const results = [];
  for (const id of ids) {
    results.push(await gamma.presentations.get(id)); // Slow!
  }
  return results;
}

// Use parallel requests with concurrency control
import pLimit from 'p-limit';

const limit = pLimit(5); // Max 5 concurrent requests

async function getParallel(ids: string[]) {
  return Promise.all(
    ids.map(id => limit(() => gamma.presentations.get(id)))
  );
}

// Batch API if available
async function getBatch(ids: string[]) {
  return gamma.presentations.getBatch(ids); // Single request for multiple items
}

Step 4: Lazy Loading and Pagination

// Pagination for large lists
async function* getAllPresentations() {
  let cursor: string | undefined;

  do {
    const page = await gamma.presentations.list({
      limit: 100,
      cursor,
    });

    for (const presentation of page.items) {
      yield presentation;
    }

    cursor = page.nextCursor;
  } while (cursor);
}

// Usage
for await (const presentation of getAllPresentations()) {
  // Process one at a time, memory efficient
}

Step 5: Request Optimization

// Only request needed fields
const presentation = await gamma.presentations.get(id, {
  fields: ['id', 'title', 'url', 'updatedAt'], // Skip large fields
});

// Avoid redundant API calls
const createOptions = {
  title: 'My Presentation',
  prompt: 'AI content',
  returnImmediately: true, // Don't wait for generation
};

const { id, statusUrl } = await gamma.presentations.create(createOptions);

// Poll status separately if needed
const status = await gamma.presentations.status(id);

Step 6: Connection Pooling

import http from 'http';
import https from 'https';

// Reuse connections
const httpAgent = new http.Agent({
  keepAlive: true,
  maxSockets: 25,
  maxFreeSockets: 10,
  timeout: 60000,
});

const httpsAgent = new https.Agent({
  keepAlive: true,
  maxSockets: 25,
  maxFreeSockets: 10,
  timeout: 60000,
});

const gamma = new GammaClient({
  apiKey: process.env.GAMMA_API_KEY,
  httpAgent,
  httpsAgent,
});

Performance Metrics

Monitoring Setup

import { performance } from 'perf_hooks';

async function timedRequest<T>(name: string, fn: () => Promise<T>): Promise<T> {
  const start = performance.now();

  try {
    const result = await fn();
    const duration = performance.now() - start;

    console.log(`[PERF] ${name}: ${duration.toFixed(2)}ms`);
    metrics.recordLatency(name, duration);

    return result;
  } catch (err) {
    const duration = performance.now() - start;
    console.log(`[PERF] ${name} FAILED: ${duration.toFixed(2)}ms`);
    throw err;
  }
}

// Usage
const presentation = await timedRequest('gamma.get', () =>
  gamma.presentations.get(id)
);

Performance Targets

Operation	Target	Action if Exceeded
Simple GET	< 200ms	Check network, use caching
List (100 items)	< 500ms	Reduce page size
Create presentation	< 5s	Use async pattern
Export PDF	< 30s	Use webhook notification

Resources

Next Steps

Proceed to gamma-cost-tuning for cost optimization.

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