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