What problem does it solve?
Iterating on AI-generated video normally means regenerating the entire clip from scratch, losing everything that already worked. This Skill wraps Google Gemini Omni Flash so you can generate 3-10 second 720p clips with synthesized audio and then refine them conversationally — editing only what you describe while everything else stays the same.
Core Features & Use Cases
- Stateful conversational editing: Each generation returns an
interaction_id; pass it back as previous_interaction_id with a short edit prompt (e.g., "Make the phone invisible. Keep everything else the same.") to refine the same clip in layers.
- Reference-image binding: Attach local images and bind them to roles in the prompt with
<FIRST_FRAME> and <IMAGE_REF_N> tags for consistent characters, products, or styles.
- Timecoded beats and on-screen text: Schedule multi-beat scenes with
[0-3s]-style timecodes and render timed on-screen text, with automatically synthesized audio directed via the prompt.
- Use Case: Generate a product demo clip, then in follow-up turns change the lighting, swap the on-screen text, and add a cat jumping onto the sofa — all without regenerating the base footage.
Quick Start
Ask the agent to generate a 6-second 720p clip of your scene using gemini_omni_video, then follow up with a short edit instruction referencing the returned interaction ID to refine it.