Why AI-Generated Videos Look Disjointed (and the Claude Code Skill I Built to Fix It)

The Problem Nobody Talks About If you've used any AI video generator in the last year — Sora, Veo, Kling, Runway, Luma, Seedance, Wan, pick your poison — you've probably run into the same wall: You can make one beautiful 5-second clip. But you can't make a 30-second video that doesn't look like garbage. The individual shots are stunning. The cinematography is often better than amateur footage shot on a phone. The lighting is usually dreamlike. And then you try to make an actual TikTok or ad or explainer, and you end up with this: Shot 1: warm golden hour, shallow DOF, gorgeous Shot 2: suddenly clinical daylight, deep focus, different lens entirely Shot 3: back to cinematic, but a completely different color palette Shot 4: looks like it was shot on a different planet Final video: jarring cuts that scream "this was made by six different cameras on six different days" The tools aren't the problem. The tools can produce world-class shots. The problem is that you're treating each generation