How do I install the Google Veo skill?

Run npx skillmds@latest add matrixy/google-veo in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Google Veo safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Google Veo?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Google Veo free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Google Veo?

matrixy (@matrixy) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Google Veo by matrixy — Agent Skill

Name: Google Veo
Author: matrixy

Google Veo

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

matrixy b151273 3.3 KB Updated Sep 17, 2026

File contents

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.

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 250+ 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

---name: google-veodescription: 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---> **Install the belt CLI skill:** `npx skills add belt-sh/cli`# Google Veo Video GenerationGenerate videos with Google Veo models via [inference.sh](https://inference.sh) CLI.![Google Veo Video Generation](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kg2c0egyg243mnyth4y6g51q.jpeg)## Quick Start> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)```bashbelt loginbelt 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```bashbelt app store search "veo"```## Examples### Cinematic Shot```bashbelt app run google/veo-3-1-fast --input '{ "prompt": "Cinematic drone shot flying through a misty forest at sunrise, volumetric lighting"}'```### Product Demo```bashbelt app run google/veo-3 --input '{ "prompt": "Sleek smartphone rotating on a dark reflective surface, studio lighting"}'```### Nature Scene```bashbelt app run google/veo-3-1-fast --input '{ "prompt": "Timelapse of clouds moving over a mountain range, golden hour"}'```### Action Shot```bashbelt app run google/veo-3 --input '{ "prompt": "Slow motion water droplet splashing into a pool, macro shot"}'```### Urban Scene```bashbelt 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```bash# 1. Generate sample input to see all optionsbelt app sample google/veo-3-1-fast --save input.json# 2. Edit the prompt# 3. Runbelt app run google/veo-3-1-fast --input input.json```## Related Skills```bash# Full platform skill (all 250+ apps)npx skills add inference-sh/skills@infsh-cli# All video generation modelsnpx skills add inference-sh/skills@ai-video-generation# AI avatars & lipsyncnpx 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](https://inference.sh/docs/apps/running) - How to run apps via CLI- [Streaming Results](https://inference.sh/docs/api/sdk/streaming) - Real-time progress updates- [Content Pipeline Example](https://inference.sh/docs/examples/content-pipeline) - Building media workflows

Frequently asked questions