google-veo

What This Skill Does

The Google Veo skill enables high-quality AI video generation directly within your OpenClaw environment. By leveraging Google's powerful Veo model family—including Veo 3.1, 3.1 Fast, and earlier iterations—this skill facilitates the creation of cinematic, realistic, and artistic video content from simple text prompts. It integrates seamlessly with the inference.sh CLI to handle model deployment and execution, making it a robust solution for developers and creatives who require on-demand video synthesis, from quick drone shots to complex, atmospheric urban scenes.

Installation

To integrate this skill into your workflow, you can use the OpenClaw skill installer. Run the following command in your terminal:

clawhub install openclaw/skills/skills/okaris/google-veo

This installation ensures that all necessary dependencies for connecting to the inference.sh infrastructure are prepared. Once installed, ensure you have completed the infsh login process to authorize API access to the Google Veo models hosted on the inference platform.

Use Cases

• Cinematic Production: Generate background plates or establishing shots for film projects using specific camera movements like 'dolly' or 'tracking shot'.
• Marketing & Advertising: Quickly iterate on product demo videos or high-energy social media clips by defining product movement and lighting conditions.
• Content Creation: Produce rapid, high-quality visual content for social platforms, such as timelapse sequences or artistic interpretations of scenes.
• Storyboarding: Visualize narrative concepts by generating video snippets to test pacing and composition before committing to full-scale production.

Example Prompts

1. "Generate a cinematic drone shot of a misty mountain range during the golden hour, prioritizing high visual quality."
2. "Create a 10-second video of a sleek smartphone rotating on a reflective dark surface under professional studio lighting using the Veo 3 model."
3. "Show me a slow-motion video of a water droplet hitting a pool, making sure the lighting is natural and the macro details are sharp."

Tips & Limitations

To get the most out of Google Veo, focus on descriptive prompts that combine camera movement, lighting, style, and timing. For instance, instead of 'forest', use 'cinematic tracking shot through a pine forest with volumetric fog'. Note that high-quality models like Veo 3.1 may take longer to render than the 'Fast' variants; select the model based on your balance of urgency versus visual fidelity. Avoid overly abstract prompts; Google Veo excels when it has clear guidance on movement and environmental context. Always use infsh app list --search "veo" to confirm current availability and model IDs.