SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams
This work argues the missing unit of reuse is the solving procedure shared by a cluster of related tasks, and builds SkillGLoW (Global-Local Weave) around it: the local skills a task writes from its own execution are aggregated into procedural families and compressed into de-instantiated global priors.
Ao Yan, Xin Zhang, Jiawei Du et al.
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