Evaluating Kimi 2.5 vs Kimi 2.6: What happens to agent skills when the model get

<!-- SC_OFF --><div class="md"><p>Projects are <a href="https://github.com/snap-research/locomo/issues/31">still submitting new scores on LoCoMo as of March 2026.</a> but the

<h1> We Tested 10 Untested LLMs on Agent Coding — The Results Are In </h1> <p>Yesterday I promised to benchmark 10 LLMs that have never been tested on real agent coding tasks. I

<blockquote> <p><strong>TL;DR.</strong> I built an Anthropic Agent Skill for <code>@ngrx/signals</code> and ran it through the full eval pipeline: capability A/B benchmarks, token

<ul> <li><p>Skills enable Claude to retain expertise across sessions via slash commands, eliminating repetitive explanations of workflows and preferences.</p></li> <li><p>A skill

<p>After building 50+ AI systems, here is what we know about optimizing AI agent skills.</p> <p>SkillOpt is a groundbreaking open-source framework developed by Microsoft that

arXiv:2604.05333v1 Announce Type: new Abstract: Skill usage has become a core component of modern agent systems and can substantially improve agents' ability to complete complex