lindy-performance-tuning

Quick Review

Strong skill providing actionable performance optimization techniques for Lindy AI agents. The description clearly conveys when to use this skill with good trigger phrases. Task knowledge is comprehensive with concrete TypeScript code examples covering measurement, optimization strategies (caching, concurrency, streaming), and best practices. Structure is logical with step-by-step instructions, though it could benefit from separating code examples into referenced files for a cleaner overview. Novelty is moderate - while performance tuning is valuable, many techniques (caching, concurrency limits, streaming) are standard patterns that a capable CLI agent could implement, though the Lindy-specific optimizations (instruction tuning, SDK usage patterns) add domain value. The complete examples and performance checklist make this immediately actionable.