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Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks
Author1, Author2, Author3, Author4, Author5
agent skillssubagentslong-horizon tasksreusable knowledge
2609.09233
Builder Relevance
4h ago80%
Abstract
The paper explores how language model agents can leverage reusable knowledge libraries to effectively solve long-horizon tasks.
Reality Card
Core Claim
Subagent execution outperforms agent-skill execution for long-horizon tasks when skill packages have clear input-output contracts and procedural knowledge.
Method / Result
Subagent execution shows improved performance compared to agent-skill execution, particularly as task horizons grow.
Limitations
The additional communication overhead may complicate the implementation and evaluation of subagent execution.
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