veo-3.2-prompter
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.
What this skill does
# 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
1. **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).
2. **Phase 2: Mapping** — For each atomic element, determine the optimal reference method (reference image, text prompt, or hybrid). Use the mapping table to decide.
3. **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):**
```json
{
"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.
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