代理技能
Agent Skills

原始链接: https://agentskills.io/home

## 代理技能:用知识赋能人工智能 代理技能提供了一种简单、开放的格式,用于增强人工智能代理的特定能力和专业知识。本质上,它们是包含指令、脚本和资源的文件夹,代理可以利用这些资源更有效、更准确地执行任务。 该系统解决了代理在现实世界应用中缺乏关键上下文的常见问题。技能允许代理按需访问程序化知识和定制信息——特定于公司、团队甚至单个用户。 其益处包括实现领域专业知识(如法律审查)、引入新功能(演示文稿创建)以及建立可重复、可审计的工作流程。重要的是,技能可以在不同的代理产品中重复使用,从而促进组织内部的互操作性和高效知识获取。 代理技能由Anthropic开发,现在已成为一项开放标准,正获得发展势头,并得到领先的人工智能开发工具和不断壮大的社区的支持。

## 代理技能与LLM集成 - Hacker News讨论总结 Hacker News 的讨论围绕着“技能”日益增长的重要性——这些工具使大型语言模型 (LLM) 能够与外部服务交互和利用这些服务。用户正在探索测试技能有效性的技术,并指出即使使用相关关键词,代理通常也需要明确的提示才能使用它们。 一个关键的收获是视角的转变:开发者不应将LLM视为产品的*功能*,而应将其视为*用户*。这突出了内部工具中现有的可用性问题——糟糕的文档、不透明的错误——人类可以解决,但会阻碍LLM代理。 一位评论员认为,一个产品只有在像Claude Code这样的代理能够使用时才算真正完成,将代理的可访问性比作SEO和对人类用户的可访问性。最终,讨论表明代理兼容性对于未来的产品可行性至关重要。
相关文章

原文
Skip to main content
Agent Skills are folders of instructions, scripts, and resources that agents can discover and use to do things more accurately and efficiently.

Why Agent Skills?

Agents are increasingly capable, but often don’t have the context they need to do real work reliably. Skills solve this by giving agents access to procedural knowledge and company-, team-, and user-specific context they can load on demand. Agents with access to a set of skills can extend their capabilities based on the task they’re working on. For skill authors: Build capabilities once and deploy them across multiple agent products. For compatible agents: Support for skills lets end users give agents new capabilities out of the box. For teams and enterprises: Capture organizational knowledge in portable, version-controlled packages.

What can Agent Skills enable?

  • Domain expertise: Package specialized knowledge into reusable instructions, from legal review processes to data analysis pipelines.
  • New capabilities: Give agents new capabilities (e.g. creating presentations, building MCP servers, analyzing datasets).
  • Repeatable workflows: Turn multi-step tasks into consistent and auditable workflows.
  • Interoperability: Reuse the same skill across different skills-compatible agent products.

Adoption

Agent Skills are supported by leading AI development tools.

Open development

The Agent Skills format was originally developed by Anthropic, released as an open standard, and has been adopted by a growing number of agent products. The standard is open to contributions from the broader ecosystem. View on GitHub

Get started

联系我们 contact @ memedata.com