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RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources

129 upvotes · 16 JUL 2026 · Yijia Fan, Zonglin Di, Zimo Wen et al.

This paper develops a system to extract and represent skills from human-created resources like videos, code, and articles, allowing software agents to learn from these multimodal inputs. Practitioners might care about this work because it could enable more effective training of agents in various domains.

multimodal resourcesskill representationhierarchical knowledgeagent learningknowledge graph-based systems