SKILL.md 文件如何让 AI 代理通过观察学习
📄 中文摘要
AI 代理的训练方式存在问题,传统的自动化方法依赖于复杂的代码和脆弱的选择器,容易因用户界面的小变化而失效。浏览器自动化脚本通常依赖特定的 DOM 元素、CSS 类和页面结构,导致在网站设计更新后,脚本无法正常工作。为了解决这一问题,SKILL.md 文件的引入提供了一种新的学习方式,使 AI 代理能够通过观察用户的行为而非依赖于脆弱的代码,从而提高其适应性和稳定性。
📄 English Summary
How SKILL.md Files Let AI Agents Learn From Watching You
The training methods for AI agents have significant flaws, as traditional automation relies on complex code and brittle selectors that can easily break with minor UI changes. Browser automation scripts typically depend on specific DOM elements, CSS classes, and page structures, resulting in failures when websites update their designs. To address this issue, the introduction of SKILL.md files offers a new learning approach, allowing AI agents to learn from observing user behavior rather than relying on fragile code, thereby enhancing their adaptability and stability.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等