---
id: 20260524-T0-06
title: "Trace2Skill：提升长上下文EDA智能体能力"
title_en: "Trace2Skill: Boosts Long-Context EDA Agent Performance"
url: https://ai.daily.yangsir.net/daily/20260524-T0-06
issue_date: 2026-05-24
publish_date: 2026-05-23T04:00:00.000Z
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2605.21810
---

# Trace2Skill：提升长上下文EDA智能体能力

Trace2Skill提出验证器引导的技能进化方法，专门用于解决复杂Verilog设计问题。该技术能够帮助智能体在大型代码库中精确定位相关部分，并进行精确修改。这一进展将显著提升AI在硬件设计领域的应用能力。

## English Version

**Trace2Skill: Boosts Long-Context EDA Agent Performance**

Trace2Skill introduces verifier-guided skill evolution for complex Verilog design problems. The method enables precise localization and modification in large code repositories, significantly improving AI capabilities in hardware design.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2605.21810)

**详情页**：https://ai.daily.yangsir.net/daily/20260524-T0-06

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