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Context Window Management is a specialized skill designed for developers building complex AI applications that handle extensive conversation histories or large datasets. It provides expert guidance on context engineering to solve the 'lost-in-the-middle' problem and prevent token limit exhaustion. By utilizing strategies like tiered context routing, intelligent summarization, and serial position optimization, this skill ensures that Claude maintains high reasoning accuracy and retains critical information even as context grows, ultimately reducing costs and improving response quality.