{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69ab3b7c7036d739021982df/6a348d94db494ef85c6edc98?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Why Claude Skills Don't Travel to Codex (and How to Fix It)","description":"<p>For deeper playbooks and analysis: <a href=\"https://natesnewsletter.substack.com/\" rel=\"noopener noreferrer\" target=\"_blank\">https://natesnewsletter.substack.com/</a></p><p><br></p><p>What's really happening inside AI agents and OpenSkills?</p><p><br></p><p>The common story is that better AI memory solves agent work — but the reality is more complicated.</p><p><br></p><p>In this video, I share the inside scoop on why AI agents need portable procedures:</p><p>Why memory alone does not solve agent work</p><p>How prompt bloat turns into procedural debt</p><p>What skills and runbooks actually make reusable</p><p>Where verification becomes the real quality bar</p><p><br></p><p>For operators, builders, and teams, the opportunity is real: AI agents get more useful when your context and your procedures can move with you. OpenBrain gives agents the context; OpenSkills gives them the repeatable way to work.</p><p><br></p><p>Subscribe for daily AI strategy and news.</p><p>Hosted on Acast. See acast.com/privacy for more information.</p>","author_name":"Nate B. Jones"}