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arXiv — cs.AI

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标题为英语Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks

arXiv:2609.09233v1 Announce Type: new Abstract: How can language model agents effectively leverage libraries of reusable knowledge to solve long-horizon tasks? Recent work has increasingly focused on agent skills: reusable capabilities represented as skill packages, i.e.,…

arXiv — cs.AI作者: Wasu Top Piriyakulkij, Rachel Lawrence, Alicia Curth, Sushrut Karmalkar, Niranjani Prasad2026年9月10日 (9月10日)
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  • arXiv:2609.09233v1 Announce Type: new Abstract: How can language model agents effectively leverage libraries of reusable knowledge to solve long-horizon tasks
  • Recent work has increasingly focused on agent skills: reusable capabilities represented as skill packages, i.e.,…
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Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks

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