<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom"><title>Ju Lin's AI Weblog: Claude-Plugins</title><subtitle>An independent research notebook on AI engineering, agents, models and the systems around them.</subtitle><id>https://julin.ai/atom/tags/claude-plugins/index.xml</id><link rel="self" type="application/atom+xml" href="https://julin.ai/atom/tags/claude-plugins/index.xml"/><link rel="alternate" type="text/html" href="https://julin.ai/tags/claude-plugins/"/><author><name>Ju Lin</name></author><updated>2026-08-22T00:00:00+12:00</updated><entry><title>ELI5</title><id>https://julin.ai/2026/08/22/eli5-neural-networks/</id><link rel="alternate" type="text/html" href="https://julin.ai/2026/08/22/eli5-neural-networks/"/><published>2026-08-22T00:00:00+12:00</published><updated>2026-08-22T00:00:00+12:00</updated><category term="eli5"/><category term="claude-plugins"/><category term="learning"/><category term="field-notes"/><content type="html">&lt;p&gt;&lt;a href="https://x.com/trq212/status/2090884854590382515"&gt;Thariq at Anthropic posted&lt;/a&gt; that it&amp;rsquo;s a skill people there have been using a lot recently: &lt;code&gt;/eli5 &amp;lt;what you want to explain&amp;gt;&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;I tried it on neural networks. &lt;a href="https://claude.ai/public/artifacts/dedbd15e-76ff-4cdf-9ac7-eaf317d947e4"&gt;Here&amp;rsquo;s what it made&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;The first pass had bad colors, low contrast, hard to read. One follow-up prompt asking for a color fix and it was done.&lt;/p&gt;
&lt;p&gt;No formulas, no sigmoid, no softmax, none of the math that actually makes a neural network work. It&amp;rsquo;s missing for good. What&amp;rsquo;s left is the dataflow — inputs go in, get combined, come out the other end as a decision — drawn simply enough to follow at a glance.&lt;/p&gt;
&lt;p&gt;That&amp;rsquo;s the trade the skill makes, and it&amp;rsquo;s the right one for someone who isn&amp;rsquo;t about to read a textbook. eli5 is good exactly because it throws out the complexity most explanations lead with. I imagine this isn&amp;rsquo;t just for self-learning — it&amp;rsquo;s a genuinely useful tool for collaboration, communication, meetings. Conveying an idea isn&amp;rsquo;t easy. ;P&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;Updated at 2026-08-23. The neural network example is ported to &lt;a href="/2026/08/23/neural-network-eli5/"&gt;julin.ai&lt;/a&gt; now.&lt;/p&gt;</content></entry></feed>