veo-3.2-prompter

veo-3.2-prompter is a skill for Claude Code from pexoai/pexo-skills. It costs 63 tokens per session (919 once invoked), scanned A, original, MIT.

A prompt-writing assistant for Google Veo 3.2, Google's video-generation model. It turns creative instructions and supplied images, videos, or audio into one structured prompt with suggested settings.

In plain words
What is it for?
Use it when creating Veo 3.2 videos from detailed ideas or mixed media, such as reference images, video clips, and audio.
Why use it?
It removes the need to work out how to describe complex scenes and how supplied media should guide the video model.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pexo plugin — 7 skills shipped together

not rated 777repo +2 22d ago A scan Socket: passSnyk: passSkillSpector: pass 63 tokens original MIT

Good fit Use it when creating Veo 3.2 videos from detailed ideas or mixed media, such as reference images, video clips, and audio.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pexoai/pexo-skills/veo-3.2-prompter
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add pexoai/pexo-skills --skill veo-3.2-prompter
Clone the repo
git clone --depth 1 https://github.com/pexoai/pexo-skills

Made for: Claude Code.

Or install pexo, the plugin that ships this one along with the rest of its 7 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for veo-3.2-prompter

README.md
[![agentmods](https://agentmods.dev/badge/skills/pexoai/pexo-skills/veo-3.2-prompter/github.svg)](https://agentmods.dev/skills/pexoai/pexo-skills/veo-3.2-prompter)
Your own site
<a href="https://agentmods.dev/skills/pexoai/pexo-skills/veo-3.2-prompter"><img src="https://agentmods.dev/badge/skills/pexoai/pexo-skills/veo-3.2-prompter/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for veo-3.2-prompter

Your own site · 80×15
<a href="https://agentmods.dev/skills/pexoai/pexo-skills/veo-3.2-prompter"><img src="https://agentmods.dev/badge/skills/pexoai/pexo-skills/veo-3.2-prompter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 919 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 9 Mar 2026
  • Snyk pass 9 Mar 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.00919
Opus 5 $0.00032 $0.00460
Sonnet 5 $0.00013 $0.00184
Haiku 4.5 $0.00006 $0.00092

Measured 12d ago against content hash 500c5ddd8565, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

veo-3.2-prompter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/veo-3.2-prompter/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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):

{
  "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
  }
}

Read the full file on GitHub · 77 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 77 lines · 63 tokens per session scan A 500c5ddd8565

Subscribe to this mod's changes

veo-3.2-prompter is a skill published in the GitHub repository pexoai/pexo-skills (777 stars, last pushed 22d ago), licensed MIT. It adds 63 tokens to every session and 919 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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