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Gamma API Performance Tuning

jeremylongshorebyjeremylongshore
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1.6k
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API開発

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.

主な機能

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

ユースケース

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