Implement response caching for OpenRouter efficiency. Use when optimizing costs or reducing latency for repeated queries. Trigger with phrases like 'openrouter cache', 'cache llm responses', 'openrouter redis', 'semantic caching'.
4.0
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AI & LLM
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The skill addresses a useful optimization task (caching LLM responses) but lacks concrete implementation details. The description adequately explains the use case and trigger phrases. However, the SKILL.md provides only a high-level outline without actual caching strategies, code examples, or configuration details promised in sections like 'Review the Implementation' and 'Adapt to Your Environment'. While it references external files for errors and examples, the main document should contain or clearly outline the caching approaches (LRU, semantic similarity, Redis integration). The structure is clean but too sparse. Novelty is moderate—caching LLM responses is valuable but not highly complex. A CLI agent would struggle to implement this without the missing implementation details, code patterns, or configuration templates.
jeremylongshore
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