Optimize Clay API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Clay integrations. Trigger with phrases like "clay performance", "optimize clay", "clay latency", "clay caching", "clay slow", "clay batch".
7.0
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0
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Backend Development
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High-quality skill providing comprehensive Clay API performance optimization guidance. The description clearly covers caching, batching, and connection pooling capabilities with appropriate trigger phrases. Task knowledge is excellent with production-ready TypeScript code for LRU/Redis caching, DataLoader batching, connection pooling, and pagination. Structure is logical with clear sections, benchmarks, and error handling tables. Novelty is moderate-to-good: while caching and batching are standard patterns, their Clay-specific application with concrete latency benchmarks and integrated monitoring reduces token overhead for a CLI agent attempting to implement these optimizations from scratch. Minor improvements could include more Clay-specific API examples or advanced patterns like circuit breakers.
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