MMSkills packages multimodal procedural knowledge into state-conditioned skills with text, state cards, and multi-view keyframes, generated from public trajectories via an agentic process and used at inference via branch-loaded inspection to improve visual agents on GUI and game benchmarks.
Recent LLM agents have made skills a practical interface for storing and composing procedural knowledge in language-conditioned environments
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