<?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-Learning on MLLog.dev</title><link>https://mllog.dev/en/tags/skill-learning/</link><description>Recent content in Skill-Learning on MLLog.dev</description><image><title>MLLog.dev</title><url>https://mllog.dev/images/default_mllog.png</url><link>https://mllog.dev/images/default_mllog.png</link></image><generator>Hugo -- 0.147.9</generator><language>en</language><lastBuildDate>Fri, 29 May 2026 08:00:00 +0100</lastBuildDate><atom:link href="https://mllog.dev/en/tags/skill-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>SkillOpt: Training Agent Skills Like Neural Network Weights - Without Touching the Model</title><link>https://mllog.dev/en/posts/skillopt-text-space-optimizer-agent-skills/</link><pubDate>Fri, 29 May 2026 08:00:00 +0100</pubDate><guid>https://mllog.dev/en/posts/skillopt-text-space-optimizer-agent-skills/</guid><description>SkillOpt applies deep-learning-style optimization - bounded edit budgets, validation gating, rejected-edit memory - to natural-language skill documents, improving frozen LLMs by up to +39 points across 52/52 evaluated cells without changing a single model weight.</description></item></channel></rss>