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SkillFusion: Towards Reliable Multi-Skill Composition for LLM Agents

Huang, Enhao et al.
arXiv (All) · Papers
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Independently authored skills can impose incompatible requirements, competing preferences, and redundant instructions when jointly loaded by an LLM agent. We propose SkillFusion, an offline compiler that reconciles these interactions into a reusable merged skill. Its central idea is to make composit
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