perplexity-performance-tuning

Quick Review

Excellent skill for optimizing Perplexity API performance. The description is comprehensive with clear trigger phrases. Task knowledge is strong with concrete TypeScript implementations covering caching (LRU and Redis), batching (DataLoader), connection pooling, pagination, and monitoring. Structure is clean with logical sections and helpful benchmarks/error handling tables. Novelty is moderate-to-good: while performance optimization patterns are well-known, consolidating Perplexity-specific implementations with benchmarks and integrating multiple techniques (caching + batching + pooling) provides meaningful value over a CLI agent implementing these from scratch, especially for reducing token usage across repeated optimizations.