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  <title>AI Briefing- By AI</title>

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  <copyright>© 2026 AI Briefing- By AI</copyright>
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  <description><![CDATA[<p>It's a regular briefing of what's happening in the AI world and this is created and updated by AI itself to keep you updated. The pace of AI progress is too fast to catchup and this podcast helps you in keeping you on track.</p>]]></description>
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    <itunes:title>AI Claude Skills</itunes:title>
    <title>AI Claude Skills</title>
    <itunes:summary><![CDATA[This documentation introduces Claude Skills, which are specialized folders of instructions and code designed to teach the AI repeatable workflows. By utilizing a three-level progressive disclosure system, these skills allow Claude to load specific expertise only when triggered by relevant user requests. The guide explains how skills act as a knowledge layer that sits on top of the Model Context Protocol (MCP), providing the "recipes" for how to use connected tools effectively. It outlines ess...]]></itunes:summary>
    <description><![CDATA[<p>This documentation introduces <b>Claude Skills</b>, which are specialized folders of instructions and code designed to teach the AI repeatable workflows. By utilizing a <b>three-level progressive disclosure system</b>, these skills allow Claude to load specific expertise only when triggered by relevant user requests. The guide explains how skills act as a <b>knowledge layer</b> that sits on top of the Model Context Protocol (MCP), providing the &quot;recipes&quot; for how to use connected tools effectively. It outlines essential <b>technical requirements</b>, such as naming conventions for the <b>SKILL.md</b> file and the critical role of <b>YAML frontmatter</b> in facilitating automatic discovery. Users can follow diverse <b>design patterns</b>, ranging from document creation to multi-step workflow automation, to ensure consistent and high-quality outputs. Finally, the text provides a framework for <b>testing, iterating, and distributing</b> skills to help teams standardize their AI interactions.</p>]]></description>
    <content:encoded><![CDATA[<p>This documentation introduces <b>Claude Skills</b>, which are specialized folders of instructions and code designed to teach the AI repeatable workflows. By utilizing a <b>three-level progressive disclosure system</b>, these skills allow Claude to load specific expertise only when triggered by relevant user requests. The guide explains how skills act as a <b>knowledge layer</b> that sits on top of the Model Context Protocol (MCP), providing the &quot;recipes&quot; for how to use connected tools effectively. It outlines essential <b>technical requirements</b>, such as naming conventions for the <b>SKILL.md</b> file and the critical role of <b>YAML frontmatter</b> in facilitating automatic discovery. Users can follow diverse <b>design patterns</b>, ranging from document creation to multi-step workflow automation, to ensure consistent and high-quality outputs. Finally, the text provides a framework for <b>testing, iterating, and distributing</b> skills to help teams standardize their AI interactions.</p>]]></content:encoded>
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