gamma-performance-tuning

Installation
SKILL.md

Gamma Performance Tuning

Output

Publish a tuning receipt with baseline/post-change aggregate metrics, change owner, canary result, and rollback state. Do not include source content, viewer data, or tokens.

Examples

Optimize a fictional staging deck, compare aggregate load/render metrics, and roll back if a synthetic sharing or accessibility check regresses.

Overview

Optimize Gamma API integration performance. Gamma's generate-poll-retrieve pattern means most latency is in generation time (10-60s), not API call overhead. Optimize by: reducing poll overhead, parallelizing batch operations, caching results, and choosing the right generation parameters.

Prerequisites

  • Working Gamma integration (see gamma-sdk-patterns)
  • Understanding of async patterns
  • Redis or in-memory cache (recommended)
Installs
25
GitHub Stars
2.7K
First Seen
Feb 18, 2026
gamma-performance-tuning — jeremylongshore/tons-of-skills-marketplace