Optimize Ideogram API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Ideogram integrations. Trigger with phrases like "ideogram performance", "optimize ideogram", "ideogram latency", "ideogram caching", "ideogram slow", "ideogram batch".
6.4
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Backend Development
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Well-structured performance tuning skill with comprehensive code examples for caching, batching, and connection pooling. The description clearly articulates when to invoke the skill with specific trigger phrases. Provides concrete TypeScript implementations covering LRU caching, Redis, DataLoader batching, and connection pooling with realistic latency benchmarks. Task knowledge is strong with step-by-step instructions and error handling tables. Structure is clean and logically organized. Novelty is moderate—while performance optimization is valuable, the techniques (caching, batching, pooling) are standard patterns that a skilled CLI agent could implement with sufficient prompting, though this skill does consolidate best practices and reduce token usage for common scenarios.
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