Optimize PostHog API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for PostHog integrations. Trigger with phrases like "posthog performance", "optimize posthog", "posthog latency", "posthog caching", "posthog slow", "posthog batch".
7.0
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Backend Development
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Excellent skill for PostHog API performance optimization. The description clearly covers caching, batching, and connection pooling capabilities with appropriate trigger phrases. Task knowledge is comprehensive with production-ready TypeScript code for LRU caching, Redis distributed caching, DataLoader batching, connection pooling, and performance monitoring. Structure is logical with clear sections, benchmarks, and error handling tables. Novelty is good—while caching/batching are common patterns, the PostHog-specific integration with DataLoader, pagination optimization, and comprehensive performance monitoring utilities would save a CLI agent significant discovery and implementation effort. Minor improvement could be splitting examples into separate files if the skill grows larger, but current size is well-organized in a single document.
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