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This skill provides specialized implementation patterns to manage long-running AI sessions that would otherwise exceed standard context windows. By utilizing hierarchical summarization, extractive and abstractive compression, and progressive disclosure strategies, it helps developers reduce token costs by up to 95% while maintaining critical information. It is an essential resource for building scalable AI assistants, long-term coding agents, and high-volume customer support bots where historical context is vital but must be managed efficiently.
