MMSkills：让AI看懂屏幕操作通用视觉智能体多模框架

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MMSkills 的通用视觉智能体框架，旨在通过多模态程序化知识增强智能体的决策能力。研究指出，传统的文本或代码指令难以满足视觉任务需求，因此该框架将文本流程、运行时状态卡片与多视角关键帧相结合，形成可复用的技能包。通过专门的生成器，系统能从公开的交互轨迹中自动提取并构建这些视觉技能库。为了平衡信息密度，研究引入了分支加载机制，让智能体在独立分支中比对视觉证据，从而为主要任务提供精准的结构化指导。实验证明，该方案在图形界面（GUI）和游戏基准测试中显著提升了各类多模态模型的执行成功率。

Episode metadata supplied by the publisher feed · Published May 23, 2026

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MMSkills：让AI看懂屏幕操作通用视觉智能体多模框架

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