---
id: 20260624-T0-07
title: "新研究提出Agent技能化架构：外部化知识以复用"
title_en: "Research Proposes Skill-Mediated Architecture to Reuse Agent Knowledge"
url: https://ai.daily.yangsir.net/daily/20260624-T0-07
issue_date: 2026-06-24
publish_date: 2026-06-23T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2606.20631
---

# 新研究提出Agent技能化架构：外部化知识以复用

arXiv上新论文探讨了如何利用“Agent技能”外部化可复用的行为知识。该架构将技能定义为静态的持久化制品，由LLM代理发现、激活和解释。这种方法旨在解决Agent行为的持久化和复用问题，为构建基于技能中介的LLM代理提供了参考架构。

## English Version

**Research Proposes Skill-Mediated Architecture to Reuse Agent Knowledge**

A new paper on arXiv explores 'Agent skills' to externalize reusable behavioral knowledge. The architecture defines skills as static, persistent artifacts that LLM agents can discover, activate, and interpret. This approach addresses the persistence and reuse of agent behaviors, offering a reference architecture for skill-mediated LLM agents.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2606.20631)

**详情页**：https://ai.daily.yangsir.net/daily/20260624-T0-07

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