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.

By pexoai · 460 installs

npx skills add pexoai/pexo-skills --skill veo-3.2-prompter

Source repository · Upstream listing

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): 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.