arXiv AI By Yinzhu Quan, Zefang Liu

EconSkills: Studying Skill Transfer and Retrieval for Web Agents on Live Economic Data

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EconSkills is a skill library and evaluation framework that transforms verified EconWebArena trajectories into parameterized standard operating procedures for retrieving live economic data. Each skill captures scope, navigation steps, site-specific guidance, verification checks, and recovery steps, replacing instance-specific values with placeholders. The framework evaluates skill transfer to new tasks and the effectiveness of library retrieval, showing that matched skills improve success rates and reduce steps compared to no-skill prompting, while abstraction outperforms raw trajectory replay. At scale, retrieval performs competitively overall, excelling on directly covered tasks and compensating for uncovered tasks through approximate matches.

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arXiv Machine Learning
Aug 10

SkillAligner: Treating Retrieved Skills as Adaptable Drafts at Execution Time

arXiv:2608. 06880v1 Announce Type: new Abstract: General-purpose skills promise reusable procedural knowledge for language agents, yet semantic relevance does not guarantee execution utility: a retrieved skill may encode assumptions that conflict with the current task, execution environment, or other retrieved skills.

By Qinfeng Li, Dalin He, Yuntai Bao, Ying Yang, Ruoxi Chen, Xinyan Yu, Lizhou Liang, Ge Su, Wenqi Zhang, Xuhong Zhang