lindy-performance-tuning

Quick Review

Well-structured skill with comprehensive performance optimization techniques for Lindy AI agents. The description clearly indicates when to use it (latency, throughput, response time issues). Task knowledge is strong with concrete TypeScript examples covering baseline measurement, instruction optimization, streaming, caching, and concurrency control. Structure is logical with clear steps and a practical checklist. However, novelty is moderate—while the skill consolidates best practices effectively, most techniques (caching, concurrency limits, streaming) are standard performance patterns a capable CLI agent could implement given sufficient context. The skill's value lies more in domain-specific application to Lindy rather than introducing truly novel approaches.