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)