<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Video Editing on Top AI Skills</title><link>https://topaiskills.com/tags/video-editing/</link><description>Recent content in Video Editing on Top AI Skills</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 23 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://topaiskills.com/tags/video-editing/index.xml" rel="self" type="application/rss+xml"/><item><title>Kling 3.0 vs Video Edit: When to Generate and When to Edit</title><link>https://topaiskills.com/tutorials/comparison/kling-3-0-vs-video-edit/</link><pubDate>Tue, 23 Jun 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/tutorials/comparison/kling-3-0-vs-video-edit/</guid><description>&lt;h2 id="the-honest-verdict-up-front"&gt;The Honest Verdict Up Front&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Install Kling 3.0 if you need to create video from scratch. Install Video Edit if you need to modify footage you already have. Install both if your pipeline includes generation and editing — they live in the same RunComfy ecosystem and share authentication.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;These two skills are not direct competitors. Kling 3.0 generates video — you give it text or an image and it produces a clip in one of three quality tiers (Standard, Pro, 4K). Video Edit transforms existing video — you feed it a source clip and a description of the edit, and it routes your request to the right AI model (Wan 2.7 for background swaps, Kling Motion Control for motion transfer, Lucy Restyle for character restyling).&lt;/p&gt;</description></item><item><title>AI Video Editing With RunComfy: Testing the Video Edit Skill</title><link>https://topaiskills.com/tutorials/guides/ai-video-editing-video-edit-skill/</link><pubDate>Mon, 22 Jun 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/tutorials/guides/ai-video-editing-video-edit-skill/</guid><description>&lt;h2 id="why-i-went-down-this-rabbit-hole"&gt;Why I Went Down This Rabbit Hole&lt;/h2&gt;
&lt;p&gt;The project was simple on paper: take a dozen product demo clips — each five to eight seconds of someone holding a package, talking to camera, or showing it from different angles — and give them a consistent look. A unified background, matching color grade, clean audio. A video editor quoted two days and twelve hundred dollars. I figured AI could do it in an afternoon.&lt;/p&gt;</description></item><item><title>Video Edit</title><link>https://topaiskills.com/skills/image/video-edit/</link><pubDate>Tue, 16 Jun 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/skills/image/video-edit/</guid><description>&lt;h2 id="what-it-is"&gt;What It Is&lt;/h2&gt;
&lt;p&gt;Video Edit is an intent-routing skill for the RunComfy ecosystem that maps a natural-language video editing request to one of three video models — Wan 2.7 Edit-Video, Kling 2.6 Pro Motion Control, or Lucy Edit Restyle. Instead of picking a model, researching its prompting quirks, and manually constructing a JSON body, you describe the edit you want and the skill handles model selection and parameter formatting.&lt;/p&gt;
&lt;p&gt;The skill lives inside the &lt;code&gt;agentspace-so/runcomfy-skills&lt;/code&gt; monorepo alongside its siblings (&lt;a href="https://topaiskills.com/skills/image/gpt-image-2/"&gt;gpt-image-2&lt;/a&gt;, image-edit, wan-2-7). You install it with a single &lt;code&gt;npx skills add&lt;/code&gt; command that registers a &lt;code&gt;video-edit&lt;/code&gt; agent skill, then call it through the RunComfy CLI.&lt;/p&gt;</description></item></channel></rss>