VISUALSKILL: Multimodal Skills for Computer-Use Agents

VISUALSKILL introduces a hierarchical multimodal skill framework for computer-use agents (CUAs), enhancing their performance on long-horizon tasks and unseen software by incorporating visual elements from GUI interactions. The model, utilizing a Claude Code CLI agent with Claude Opus 4.6, achieved an average score of 0.456 on CUA benchmarks, representing a significant improvement over both a no-skill baseline (0.303) and a matched text-only skill (0.373), demonstrating the effectiveness of visual artifacts in improving task identification and workflow verification. This advancement is critical for practitioners developing AI systems that require interaction with graphical user interfaces, as it emphasizes the importance of multimodal input in agent training.