---
id: 20260307-T0-03
title: "SkillNet实现AI技能的创建评估与连接"
title_en: "SkillNet Framework for AI Skill Creation and Evaluation"
url: https://ai.daily.yangsir.net/daily/20260307-T0-03
issue_date: 2026-03-07
publish_date: 2026-03-06T05:00:00.000Z
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2603.04448
---

# SkillNet实现AI技能的创建评估与连接

SkillNet框架通过模块化方法解决AI技能积累难题。该系统支持技能的标准化定义、自动化评估和动态组合，在AgentBench测试中技能迁移效率提升42%。arXiv论文显示，SkillNet采用分层架构将复杂任务拆解为原子技能，并通过强化学习优化技能调用策略。目前代码已在GitHub开源，开发者可基于此框架构建领域专用技能库。

## English Version

**SkillNet Framework for AI Skill Creation and Evaluation**

SkillNet framework addresses AI skill accumulation through modular methods. It supports standardized skill definition, automated evaluation, and dynamic combination, improving skill transfer efficiency by 42% in AgentBench tests. The arXiv paper shows SkillNet uses hierarchical architecture to decompose complex tasks into atomic skills, optimizing skill invocation strategies via reinforcement learning. Code is open-source on GitHub for building domain-specific skill libraries.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2603.04448)

**详情页**：https://ai.daily.yangsir.net/daily/20260307-T0-03

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