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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0
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Backend Development
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Excellent skill providing comprehensive PostHog performance optimization guidance. The description clearly specifies when to use this skill with concrete trigger phrases. Task knowledge is strong with detailed code examples for caching (LRU and Redis), batching (DataLoader), connection pooling, pagination, and monitoring. Structure is logical with clear sections, though some code snippets are lengthy. Novelty is good - while performance optimization patterns are known, the PostHog-specific application with ready-to-use TypeScript implementations, latency benchmarks, and error handling table provides meaningful value beyond what a CLI agent could easily generate. Minor deduction on novelty as the underlying patterns (caching, batching, pooling) are standard performance techniques.
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