tools/video/google-veo/SKILL.md
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
npx skillsauth add inf-sh/skills google-veoInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Install the belt CLI skill:
npx skills add belt-sh/cli
Generate videos with Google Veo models via inference.sh CLI.

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"}'
| 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 |
belt app store search "veo"
belt app run google/veo-3-1-fast --input '{
"prompt": "Cinematic drone shot flying through a misty forest at sunrise, volumetric lighting"
}'
belt app run google/veo-3 --input '{
"prompt": "Sleek smartphone rotating on a dark reflective surface, studio lighting"
}'
belt app run google/veo-3-1-fast --input '{
"prompt": "Timelapse of clouds moving over a mountain range, golden hour"
}'
belt app run google/veo-3 --input '{
"prompt": "Slow motion water droplet splashing into a pool, macro shot"
}'
belt app run google/veo-3-1-fast --input '{
"prompt": "Busy city street at night with neon signs and rain reflections, Tokyo style"
}'
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
# 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
# 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
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