This paper examines how skills may help address bottlenecks of current agents and how they may expand agent capabilities through reusable domain procedures loaded at inference time and outlines open questions in skill construction, composition, evaluation, portability, governance, and security.
Hanwen Xing, Haomin Zhuang, Xuandong Zhao et al.· Proceedings of the 32nd ACM...· 7 citations· ⚡1
As Large Language Model (LLM) agents have demonstrated broad competence, but they still struggle in specialized, real-world workflows. Existing approaches such as RAG, fine-tuning and tool integration improve knowledge access, model adaptation, and external functionality, yet they do not fully address a central gap: th...
Hanwen Xing, Haomin Zhuang, Xuandong Zhao et al.· Proceedings of the 32nd ACM...· 6 citations· ⚡1
MemoHarness is introduced, an adaptive harness optimization framework that learns from its own executions and improves over the fixed harnesses it is compared against and shows selective transfer to unseen suites and base models.
Yue Huang, Wenjie Wang, Han Bao et al.· arXiv.org· 4 citations
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