<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Llm-Agent on Zhanwei Wang</title><link>https://zhanwei.wang/en/tags/llm-agent/</link><description>Recent content in Llm-Agent on Zhanwei Wang</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 17 Apr 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://zhanwei.wang/en/tags/llm-agent/index.xml" rel="self" type="application/rss+xml"/><item><title>Cost and Performance Optimization for Claude Code Skills: 6 Principles from a Real Session</title><link>https://zhanwei.wang/en/posts/skill-cost-optimization/</link><pubDate>Fri, 17 Apr 2026 00:00:00 +0800</pubDate><guid>https://zhanwei.wang/en/posts/skill-cost-optimization/</guid><description>&lt;blockquote&gt;
&lt;p&gt;This article is based on a week-long optimization effort across three production Skills — &lt;code&gt;prd-analysis&lt;/code&gt;, &lt;code&gt;system-design&lt;/code&gt;, and &lt;code&gt;autoforge&lt;/code&gt; — covering the full loop from token-level measurement to actual code changes. All numbers come from real JSONL session files, with inflation factors corrected.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;h2 id="why-skill-cost-deserves-its-own-treatment"&gt;Why Skill Cost Deserves Its Own Treatment&lt;/h2&gt;
&lt;p&gt;Generic &amp;ldquo;LLM cost reduction&amp;rdquo; articles usually talk about context pruning, cache warmup, and model downgrading. These apply to Skills too — but the Skill execution environment has several &lt;strong&gt;structural differences&lt;/strong&gt;:&lt;/p&gt;</description></item></channel></rss>