Claude Agent Skills Explained

章节 1：Agent Skills 的定义与技术实现机制

📝 本节摘要：

演讲者 Otto 首先介绍了 "Agent Skills"（代理技能）的概念，将其定义为可移植的专业知识包。随后，他详细解释了其技术实现方式：通过“渐进式披露”（progressive disclosure）机制，在启动时仅加载技能描述以节省 Token，待触发后再动态加载完整内容，从而在不占用大量上下文窗口的前提下赋予 Claude 复杂的专业能力。

[原文] [Otto]: hi my name is Otto and in this video we're going to discuss agent skills

[译文] [Otto]: 嗨，我是 Otto，在这个视频中我们将讨论代理技能（agent skills）。

[原文] [Otto]: agents today are pretty intelligent but they don't always have the domain expertise you need for real work and skills help solve this

[译文] [Otto]: 如今的代理（Agents）已经相当智能，但它们往往缺乏你在实际工作所需的领域专业知识，而“技能”正是为了解决这个问题。

[原文] [Otto]: you can think of skills as organized folders that package expertise that Cloud can automatically invoke when relevant to the task at hand

[译文] [Otto]: 你可以将技能想象成打包了专业知识的整理好的文件夹，当与手头的任务相关时，Claude 可以自动调用它们。

[原文] [Otto]: and most importantly these skills are portable across cloud code the API as well as cla.ai

[译文] [Otto]: 最重要的是，这些技能在 Claude code、API 以及 claude.ai 之间是可移植的。

[原文] [Otto]: and the way skills work is at startup only the name and description of every installed skill is loaded in the system prompt

[译文] [Otto]: 技能的工作原理是，在启动时，系统提示词（system prompt）中仅加载每个已安装技能的名称和描述。

[原文] [Otto]: this is going to consume about 30 to 50 tokens per skill and make Claude aware of the skill's existence

[译文] [Otto]: 这每个技能大约会消耗 30 到 50 个 Token，主要是为了让 Claude 知道该技能的存在。

[原文] [Otto]: then when a user prompt matches a skills description Claude is going to dynamically load the full skill.md file into context

[译文] [Otto]: 然后，当用户的提示词与某个技能的描述相匹配时，Claude 会动态地将完整的 skill.md 文件加载到上下文中。

[原文] [Otto]: and finally if the skill references other files or scripts they are also progressively loaded and run as needed

[译文] [Otto]: 最后，如果该技能引用了其他文件或脚本，它们也会根据需要被渐进式地加载和运行。

[原文] [Otto]: this progressive disclosure allows you to install many different skills to perform complex tasks without bloating your context window

[译文] [Otto]: 这种“渐进式披露”（progressive disclosure）允许你安装许多不同的技能来执行复杂的任务，而不会导致你的上下文窗口变得臃肿。