AI Video Generation for Openclaw

A comprehensive AI video production suite offering access to over 40 industry-leading models like Google Veo and Grok for text-to-video, lipsync, and animation.

okaris
v0.1.5
Feb 18, 2026
2
4.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install ai-video-generation

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install ai-video-generation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is AI Video Generation?

This skill empowers developers and creators to harness the power of over 40 state-of-the-art AI video models through a unified command-line interface. By leveraging Openclaw Skills, users can access premium models like Google Veo, xAI Grok Imagine Video, and Bytedance Seedance for diverse tasks ranging from simple text-to-video generation to complex multi-character avatar animations.

The integration focuses on versatility and efficiency, providing a robust foundation for building automated media workflows. Whether you are generating social media clips, product demos, or full AI-driven animations, these Openclaw Skills streamline the process by managing model selection and execution via the inference.sh platform.

AI Video Generation Use Cases

  • Creating cinematic marketing and social media content using advanced text-to-video models like Veo 3.1.
  • Animating static portraits into high-fidelity talking heads with OmniHuman and Fabric lipsync.
  • Automating the generation of explainer videos by converting prompts directly into narrated video assets.
  • Enhancing existing video quality using professional upscaling tools like Topaz.
  • Adding immersive environmental audio to silent AI videos with HunyuanVideo Foley.

How AI Video Generation Works

  1. The user initializes the environment by installing and authenticating the inference.sh CLI.
  2. A specific video model is selected from the library of 40+ available apps based on the specific media requirement.
  3. The skill formats a JSON input containing the prompt, source image, or audio URL required for the generation.
  4. The command is executed via the CLI, sending the request to high-performance inference servers.
  5. The generated video file or media asset is returned as a URL, ready for further processing or distribution within the Openclaw Skills ecosystem.

AI Video Generation Setup

To integrate these video capabilities into your Openclaw Skills workflow, install the required CLI tool:

# Install the inference.sh CLI and log in
curl -fsSL https://cli.inference.sh | sh && infsh login

# Test the installation by running a fast Veo generation
infsh app run google/veo-3-1-fast --input '{"prompt": "A drone shot flying over a forest"}'

AI Video Generation Data Schema & Taxonomy

The skill manages video generation through a structured input/output schema to ensure compatibility across different models. Use the following structure for your requests:

Parameter Description Required
prompt Text description for text-to-video generation Yes (T2V)
image_url Source image for image-to-video or avatars Yes (I2V)
audio_url Source audio for lipsync and talking heads Yes (Lipsync)
duration Length of the generated clip in seconds Optional
transition Transition style for media merging Optional

AI Video Generation Advanced Features

  • Support for high-resolution upscaling to enhance AI-generated content to professional standards.
  • Advanced multi-character animation with OmniHuman 1.5 for complex scene generation.
  • Integrated foley sound synthesis to automatically add birds chirping, footsteps, or environmental noise to silent clips.
  • Programmatic media merging that allows for the creation of long-form content from multiple AI clips.
  • Flexible model switching within the Openclaw Skills framework to balance between speed (Fast models) and quality (Pro models).

SKILL.md


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