context-optimization

SKILL.md

Use this skill when working with apply compaction, masking, and caching strategies. Context Optimization Techniques

Context optimization extends the effective capacity of limited context windows through strategic compression, masking, caching, and partitioning. The goal is not to magically increase context windows but to make better use of available capacity. Effective optimization can double or triple effective context capacity without requiring larger models or longer contexts.

Context optimization extends effective capacity through four primary strategies: compaction (summarizing context near limits), observation masking (replacing verbose outputs with references), KV-cache optimization (reusing cached computations), and context partitioning (splitting work across isolated contexts).

圧縮、マスキング、キャッシュ戦略を適用する ソース: sickn33/antigravity-awesome-skills。

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