Agent Skills
› NeverSight/learn-skills.dev
› google-veo
google-veo
GitHub通过inference.sh CLI调用Google Veo系列模型生成高质量视频，支持文本转视频及多种 cinematic 风格。适用于需要快速生成影视级、产品展示或自然场景视频的用户，提供从Veo 2到3.1的多种速度与质量选项。
触发场景
veo
google veo
veo 3
veo 2
veo 3.1
vertex ai video
google video generation
google video ai
veo model
veo video
安装
npx skills add NeverSight/learn-skills.dev --skill google-veo -g -y
SKILL.md
Frontmatter
{
"name": "google-veo",
"description": "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",
"allowed-tools": "Bash(belt *)"
}
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
版本历史
- c3c0a1e 当前 2026-07-23 06:57
依赖关系
-
suggested
belt-sh/cli -
suggested
inference-sh/skills@infsh-cli -
suggested
inference-sh/skills@ai-video-generation -
suggested
inference-sh/skills@ai-avatar-video -
suggested
inference-sh/skills@ai-image-generation
