A breakdown of two Claude Skills for an AI UGC pipeline: reference decoding, character prompts, scene generation, voice workflow, and TopView Canvas assembly.
The video shows an AI UGC pipeline where Claude Skills decode a reference video into a repeatable structure for new ad scenes.
The main value is not just generating a clip, but reproducing the structure: hook, characters, scenes, voice, lip-sync, and storyboard.
For the Opten audience, the most useful assets are reusable skills and prompts that can be copied quickly.
Start by decoding the reference instead of writing a prompt from scratch.
TopView Canvas is useful as a storyboard-first environment before final generation.
Generate and review one scene first, then produce the rest to avoid wasting credits.
Analyze this reference video frame by frame and rebuild the structure for my product. Keep the same persuasive pattern, but create a unique setup, characters, script beats, and scene prompts.The core UGC Decoder idea: replace the product while preserving the working structure.
The second character looks too polished and clean. Rewrite the prompt so the result looks more realistic, natural, and suitable for an organic UGC ad.A typical iteration when an AI character looks too polished.
Backgrounds can mismatch when characters are generated independently.
Voice consistency can drift between clips without a storyboard-first workflow.
Do not generate all scenes blindly; test one scene first.