groq-performance-tuning

Quick Review

This skill provides solid technical implementation for Groq API optimization with clear code examples for caching (LRU and Redis), batching (DataLoader), connection pooling, and performance monitoring. The description adequately covers when to invoke the skill. However, novelty is limited as these are standard performance optimization patterns (caching, batching, pooling) that a CLI agent could implement with appropriate prompting. The techniques shown are well-documented standard practices rather than complex domain-specific optimizations. Structure is good with clear sections and benchmarks. Task knowledge is strong with executable TypeScript examples covering the main optimization strategies. The skill would save some tokens but doesn't represent highly specialized knowledge that would be difficult for an LLM to generate on demand.