Can this handle large datasets?

Absolutely. It uses async generators for pagination to ensure memory-efficient iteration over large lists of presentations or objects.

How does this skill improve Gamma performance?

It optimizes performance by configuring HTTP connection pooling, implementing smart response caching, and replacing sequential requests with parallel execution patterns.

Does it help with Gamma API rate limiting?

Yes, it implements p-limit for concurrency management and sets up specific retry conditions for 429 (Too Many Requests) and 5xx errors.

What caching strategy is used?

The skill implements a node-cache layer with a default 5-minute TTL and event-based invalidation to ensure data remains fresh while reducing API calls.

Gamma API Performance Tuning

Name: Gamma API Performance Tuning
Author: jeremylongshore

byjeremylongshore

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1,618

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API 开发

Optimizes Gamma API integrations by reducing latency and increasing throughput through advanced configuration and caching strategies.

The Gamma Performance Tuning skill enables developers to maximize the efficiency of their Gamma API integrations within Claude Code. It provides automated patterns for implementing connection pooling, response caching with node-cache, and parallelized request processing using p-limit. By applying these optimizations, users can significantly reduce response times for large presentation lists, handle rate limits gracefully, and improve the overall responsiveness of Gamma-powered applications through efficient memory iteration and payload minimization.

主要功能

01Parallel request optimization using concurrency-capped loops

02Automated response caching implementation with Node-Cache

03Advanced connection pooling and keep-alive configuration

041,618 GitHub stars

05Payload minimization and selective field requesting

06Memory-efficient data iteration via async generators

使用场景

01Batch processing large volumes of presentations without hitting rate limits

02Reducing high latency in production Gamma integrations

03Optimizing memory usage when iterating over extensive API datasets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills gamma-performance-tuning

For use in Claude.ai and ChatGPT

Download Skill

主要功能

01Parallel request optimization using concurrency-capped loops

02Automated response caching implementation with Node-Cache

03Advanced connection pooling and keep-alive configuration

041,618 GitHub stars

05Payload minimization and selective field requesting

06Memory-efficient data iteration via async generators

使用场景

01Batch processing large volumes of presentations without hitting rate limits

02Reducing high latency in production Gamma integrations

03Optimizing memory usage when iterating over extensive API datasets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills gamma-performance-tuning

For use in Claude.ai and ChatGPT

Download Skill