<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Skill-Optimization on TPOW Lab</title><link>https://tpow-001.netlify.app/tags/skill-optimization/</link><description>Recent content in Skill-Optimization on TPOW Lab</description><generator>Hugo</generator><language>en</language><copyright>Copyright &amp;copy; 2025-2026 TPOW-001. All Rights Reserved.</copyright><lastBuildDate>Thu, 28 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://tpow-001.netlify.app/tags/skill-optimization/index.xml" rel="self" type="application/rss+xml"/><item><title>SkillOpt 詳細教學 — 訓練 frozen LLM agent 的 natural-language skill</title><link>https://tpow-001.netlify.app/post/2026-05-28-skillopt-tutorial/</link><pubDate>Thu, 28 May 2026 00:00:00 +0000</pubDate><guid>https://tpow-001.netlify.app/post/2026-05-28-skillopt-tutorial/</guid><description><![CDATA[<h1 id="skillopt-詳細教學" data-numberify>SkillOpt 詳細教學<a class="anchor ms-1" href="#skillopt-詳細教學"></a></h1>
<blockquote>
<p>一份足以讓團隊評估「能不能整合進我們的 agent pipeline」的精讀教學。
對應 paper：arXiv 2605.23904（Yang et al., 2026）</p>]]></description></item></channel></rss>