A cloud-powered AI video generation skill that converts static images and raw clips into polished 1080p MP4 videos with music and text overlays.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install google-ai-video-maker
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install google-ai-video-maker 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 Google AI Video Maker?
Google AI Video Maker is a high-performance video production tool designed for the Openclaw Skills ecosystem. It leverages remote GPU nodes to process media files up to 500MB, allowing developers and content creators to generate professional-grade videos without local hardware constraints. By utilizing advanced AI models, it automates complex editing tasks such as compositing, text insertion, and background music synchronization.
This skill streamlines the transition from raw assets to finished content, offering a seamless API-driven workflow for rendering high-definition MP4 files. Whether you are building automated marketing pipelines or enhancing agent-led creative workflows, this tool provides the necessary infrastructure for rapid, server-side video rendering and editing.
Google AI Video Maker Use Cases
- Automated creation of 30-second promotional videos from product photography.
- Generating social media content by combining multiple image assets with AI-generated text overlays.
- Batch processing video clips to apply consistent styles or branding across multiple files.
- Iterative video editing where an AI agent refines a timeline based on sequential user feedback.
- Rapid prototyping of video ads for marketers using simple text-based instructions.
How Google AI Video Maker Works
- Authentication: The skill checks for a NEMO_TOKEN or automatically generates an anonymous token with 100 free credits.
- Session Initialization: A unique session is created to track the project timeline and media state.
- Asset Upload: Users upload images or video clips (MP4, MOV, JPG, PNG) to the cloud processing backend.
- Instruction Processing: Intent is captured via SSE (Server-Sent Events) to interpret instructions like adding BGM or text overlays.
- Cloud Rendering: The project is sent to a remote GPU node which composites the layers and compresses the video to 1080p H.264.
- Export & Delivery: The skill polls the render status and provides a final download URL for the completed MP4 file.
Google AI Video Maker Setup
To integrate this component of Openclaw Skills, ensure your environment is configured to communicate with the cloud render pipeline.
# Set your API token (if you have a registered account)
export NEMO_TOKEN="your_token_here"
# The skill will automatically handle session creation on first run
# No local GPU drivers are required as rendering is server-side
Google AI Video Maker Data Schema & Taxonomy
The skill maintains a structured session state to manage the video timeline. Key data structures include:
| Field | Description |
|---|---|
draft |
The root object containing the project timeline and track metadata. |
tracks (t) |
An array of layers categorized by type (Video: 0, Audio: 1, Text: 7). |
segments (sg) |
Individual media blocks within a track, including start/end times. |
video_infos |
Metadata regarding uploaded source files and their resolutions. |
generated_media |
References to AI-generated assets currently used in the session. |
Google AI Video Maker Advanced Features
- Server-Side Compositing: Offloads heavy rendering tasks to remote GPU nodes, supporting files up to 500MB.
- Timeline Persistence: Maintains the state of tracks and segments across multiple requests for iterative editing.
- Multi-Format Support: Handles diverse input types including WebM, MKV, GIF, and various high-fidelity audio formats.
- Automated GUI Translation: Intelligently maps backend UI commands (like drag/drop) into programmatic API actions.
- Platform Attribution: Built-in tracking for Openclaw Skills to ensure consistent performance across different IDEs and platforms.
SKILL.md
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