Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- 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...
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...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Generate videos with Google Veo models via inference.sh CLI.
curl -fsSL https://cli.inference.sh | sh && infsh login infsh app run google/veo-3-1-fast --input '{"prompt": "drone shot over a mountain lake"}' Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.
ModelApp IDSpeedQualityVeo 3.1google/veo-3-1SlowerBestVeo 3.1 Fastgoogle/veo-3-1-fastFastExcellentVeo 3google/veo-3MediumExcellentVeo 3 Fastgoogle/veo-3-fastFastVery GoodVeo 2google/veo-2MediumGood
infsh app list --search "veo"
infsh app run google/veo-3-1-fast --input '{ "prompt": "Cinematic drone shot flying through a misty forest at sunrise, volumetric lighting" }'
infsh app run google/veo-3 --input '{ "prompt": "Sleek smartphone rotating on a dark reflective surface, studio lighting" }'
infsh app run google/veo-3-1-fast --input '{ "prompt": "Timelapse of clouds moving over a mountain range, golden hour" }'
infsh app run google/veo-3 --input '{ "prompt": "Slow motion water droplet splashing into a pool, macro shot" }'
infsh 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 infsh app sample google/veo-3-1-fast --save input.json # 2. Edit the prompt # 3. Run infsh app run google/veo-3-1-fast --input input.json
# Full platform skill (all 150+ apps) npx skills add inference-sh/skills@inference-sh # 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: infsh app list --category video
Running Apps - How to run apps via CLI Streaming Results - Real-time progress updates Content Pipeline Example - Building media workflows
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.