<?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>Llm-Agents on MLLog.dev</title><link>https://mllog.dev/en/tags/llm-agents/</link><description>Recent content in Llm-Agents 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>Sun, 12 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://mllog.dev/en/tags/llm-agents/index.xml" rel="self" type="application/rss+xml"/><item><title>SkillClaw: Making LLM Agent Skills Evolve Collectively</title><link>https://mllog.dev/en/posts/2026-04-12-skillclaw-collective-skill-evolution-llm-agents/</link><pubDate>Sun, 12 Apr 2026 00:00:00 +0000</pubDate><guid>https://mllog.dev/en/posts/2026-04-12-skillclaw-collective-skill-evolution-llm-agents/</guid><description>SkillClaw is a framework for collective skill evolution in multi-user LLM agent ecosystems. Instead of static skill libraries, the system automatically learns from interactions across users and propagates improvements to everyone.</description></item></channel></rss>