Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context.
5.7
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0
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AI & LLM
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The skill addresses a relevant LLM optimization problem with clear structuring (capabilities, patterns, anti-patterns). However, it lacks actionable implementation details: no concrete algorithms, token counting methods, summarization techniques, or code examples. The Description mentions specific strategies (summarization, trimming, routing) but the SKILL.md only lists them without explaining HOW to execute them. A CLI agent would struggle to apply these concepts without specific steps, thresholds, or pseudo-code. The novelty is moderate—while context management is important, the presented content is largely conceptual frameworks rather than sophisticated implementations. The file appears incomplete (truncated intro paragraph). To score higher, it needs concrete algorithms, decision trees for strategy selection, token counting implementations, and example workflows.
davila7
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