cnemri/google-genai-skills

Overview

This skill creates and edits videos using Google's Veo models (veo-3.1 and veo-2.0). It supports Text-to-Video, Image-to-Video, Reference-to-Video, Inpainting, and Video Extension workflows. Always confirm parameters with the user or explicitly state defaults before running.

How this skill works

The skill runs portable Python scripts that call Veo models to generate or modify video assets. You supply a prompt plus optional inputs like an image, mask, reference images, mode, duration, and aspect ratio. The tool validates authentication environment variables and uses sensible defaults if you do not provide explicit parameters.

When to use it

• Generate a short cinematic clip from a text description (Text-to-Video).
• Animate a static image into a motion sequence (Image-to-Video).
• Create a video that preserves appearance of provided assets (Reference-to-Video).
• Remove, replace, or insert objects in an existing clip using masks (Inpainting).
• Extend the length of a clip with new content that flows from the original (Video Extension).

Best practices

• Always confirm or explicitly state model, duration, resolution, aspect-ratio, and mode before running.
• Provide clear, camera-aware prompts (camera angle, movement, lens, lighting) for predictable results.
• Use high-quality reference images and clean masks for accurate edits and inpainting.
• Start with default safe values (veo-3.1-generate-001, 1080p, 16:9, duration 6s) and iterate.
• Ensure environment auth is configured (API key or Vertex AI variables) before generating.

Example use cases

• Create a 6-second promo clip from a product description using Reference-to-Video.
• Turn a portrait photo into a short reveal animation with Image-to-Video.
• Remove a distracting object from a clip by supplying a mask and using REMOVE mode.
• Insert a new element (INSERT mode) like a flying drone into an existing scene.
• Extend a 4-second scene into a 10-second continuation with a descriptive prompt.