| name | veo-3.2-prompter |
| description | Expert prompt engineering for Google Veo 3.2 (Artemis engine). Use when the user wants to generate a video with Veo 3.2, needs help crafting cinematic prompts, or mentions Veo, Google video generation, or Artemis engine.
|
| version | 0.1.0 |
| author | wells |
| tags | ["video","generation","prompt","veo","google","artemis","cinematic"] |
Veo 3.2 Prompt Designer Skill
This skill transforms a user's scattered multimodal assets (images, videos, audio) and creative intent into a structured, executable prompt for the Google Veo 3.2 video generation model (Artemis engine). It acts as an expert prompt engineer, ensuring the highest quality output from the underlying model.
When to Use
- When the user provides assets (images, videos, audio) for video generation with Veo 3.2.
- When the user's request is complex and requires careful prompt construction for the Veo model.
- When using any Google Veo 3.x model for video generation.
Core Function
This skill analyzes all user inputs and generates a single, optimized JSON object containing the final prompt and recommended parameters. The internal workflow (Recognition, Mapping, Construction) is handled automatically and should not be exposed to the user.
Internal Workflow
- Phase 1: Recognition — Analyze uploaded assets and user intent. Use the
atomic_element_mapping.md to classify each asset into its atomic element role(s).
- Phase 2: Mapping — For each atomic element, determine the optimal reference method (reference image, text prompt, or hybrid). Use the mapping table to decide.
- Phase 3: Construction — Assemble the final prompt using the 5-Part Framework (Shot → Subject → Environment → Camera → Style) and attach reference images via the Gemini API's
RawReferenceImage system.
Usage Example
User Request: "Make a cinematic shot of this perfume bottle rotating on a dark surface, like a luxury commercial."
User uploads perfume.png
Agent using veo-3.2-prompter:
The agent internally processes the request and assets, then outputs the final JSON to the next skill in the chain.
Final Output (for internal use):
{
"final_prompt": "Hero shot, a frosted glass perfume bottle with gold cap rotating slowly on a reflective dark surface, three-point studio lighting with soft key and rim light creating subtle caustics, smooth 180-degree arc, hyper-realistic luxury commercial style with shallow depth of field. Crystalline chime, soft ambient pad.",
"reference_images": [
{
"file": "perfume.png",
"reference_type": "SUBJECT"
}
],
"recommended_parameters": {
"model": "veo-3.2-generate",
"duration_seconds": 8,
"aspect_ratio": "16:9",
"resolution": "1080p",
"generate_audio": true
}
}
Veo 3.2 Key Differentiators
| Feature | Capability |
|---|
| Engine | Artemis — world-model physics simulation (not pixel prediction) |
| Max duration | ~30s native continuous generation |
| Audio | Native dialogue + synchronized SFX |
| Reference images | Up to 3 (STYLE, SUBJECT, SUBJECT_FACE) |
| Video extension | Chain clips via previous video input |
| First/last frame | Specify start and/or end keyframes |
| Resolutions | 720p, 1080p, 4K (with upscaling) |
| Aspect ratios | 16:9, 9:16 |
Knowledge Base
This skill relies on an internal knowledge base to make informed decisions. The agent MUST consult these files during execution.
references/atomic_element_mapping.md: Core Knowledge. Contains the "Asset Type → Atomic Element" and "Atomic Element → Optimal Reference Method" mapping tables, adapted for Veo 3.2's reference image system.references/veo_syntax_guide.md: Veo 3.2 Gemini API syntax reference, covering RawReferenceImage, GenerateVideosConfig, video extension, and first/last frame specification.
