Google Veo

Documents

google-veo

Google Veo is an Agent Skill for documents published in the inference-sh/skills repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Generate videos with Google Veo models via inference.sh CLI. Models: Veo 3.1, Veo 3.1 Fast, Veo 3, Veo 3 Fast, Veo 2. Capabilities: text-to-video, cinematic output, high quality video generation. Triggers: veo, google veo, veo 3, veo 2, veo 3.1, vertex ai video, google video generation, google video ai, veo model, veo video

View on GitHub ↗

QUICK START

How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

Open your project in Codex.
Copy and paste the prompt below.
Review files and risks before approving any action.

Prompt to paste

Inspect the Agent Skill at https://github.com/inference-sh/skills/blob/HEAD/tools/video/google-veo/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/google-veo, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

Install the belt CLI skill: npx skills add belt-sh/cli

Google Veo Video Generation

Generate videos with Google Veo models via inference.sh CLI.

Google Veo Video Generation ↗

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

belt app run google/veo-3-1-fast --input '{"prompt": "drone shot over a mountain lake"}'

Veo Models

Model	App ID	Speed	Quality
Veo 3.1	`google/veo-3-1`	Slower	Best
Veo 3.1 Fast	`google/veo-3-1-fast`	Fast	Excellent
Veo 3	`google/veo-3`	Medium	Excellent
Veo 3 Fast	`google/veo-3-fast`	Fast	Very Good
Veo 2	`google/veo-2`	Medium	Good

Search Veo Apps

belt app store search "veo"

Examples

Cinematic Shot

belt app run google/veo-3-1-fast --input '{
  "prompt": "Cinematic drone shot flying through a misty forest at sunrise, volumetric lighting"
}'

Product Demo

belt app run google/veo-3 --input '{
  "prompt": "Sleek smartphone rotating on a dark reflective surface, studio lighting"
}'

Nature Scene

belt app run google/veo-3-1-fast --input '{
  "prompt": "Timelapse of clouds moving over a mountain range, golden hour"
}'

Action Shot

belt app run google/veo-3 --input '{
  "prompt": "Slow motion water droplet splashing into a pool, macro shot"
}'

Urban Scene

belt app run google/veo-3-1-fast --input '{
  "prompt": "Busy city street at night with neon signs and rain reflections, Tokyo style"
}'

Prompt Tips

Camera movements: drone shot, tracking shot, pan, zoom, dolly, steadicam

Lighting: golden hour, blue hour, studio lighting, volumetric, neon, natural

Style: cinematic, documentary, commercial, artistic, realistic

Timing: slow motion, timelapse, real-time

Sample Workflow

# 1. Generate sample input to see all options
belt app sample google/veo-3-1-fast --save input.json

# 2. Edit the prompt
# 3. Run
belt app run google/veo-3-1-fast --input input.json

Related Skills

# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# All video generation models
npx skills add inference-sh/skills@ai-video-generation

# AI avatars & lipsync
npx skills add inference-sh/skills@ai-avatar-video

# Image generation (for image-to-video)
npx skills add inference-sh/skills@ai-image-generation

Browse all video apps: belt app store --category video

Documentation

Running Apps - How to run apps via CLI
Streaming Results - Real-time progress updates
Content Pipeline Example - Building media workflows