An AI-powered video generation tool leveraging Google Cloud Vertex AI and ADC to run high-quality text-to-video and image-to-video workflows locally.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vertex-video-adc
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 vertex-video-adc 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 Cloud Vertex AI Video Generator (ADC)?
The Google Cloud Vertex AI Video Generator (ADC) is a robust skill designed to orchestrate video creation pipelines using Google's powerful Veo model (veo-3.1-generate-001). By hooking directly into the Vertex AI predictLongRunning endpoint via CLI utilities, it allows developers and automated agents to create cinematic videos dynamically.
Using this skill with Openclaw Skills unlocks seamless programmatic video generation, allowing users to authenticate via Application Default Credentials (ADC) and issue commands with simple command-line arguments. It manages complex background jobs, poll operations, and API structures to make video generation efficient and scalable.
Google Cloud Vertex AI Video Generator (ADC) Use Cases
- Programmatically generating social media video assets from text descriptions.
- Turning static product photos into engaging promotional videos using image-to-video generation.
- Streamlining AI video creation pipelines within local development environments or CI/CD pipelines.
- Generating high-resolution B-roll footage dynamically using Openclaw Skills integrated workflows.
How Google Cloud Vertex AI Video Generator (ADC) Works
- Configure Google Cloud Environment: Define your project ID, target location (e.g., us-central1), and selected video generation model (e.g., veo-3.1-generate-001).
- Write the Prompt: Save the video concept prompt to a text file for the generator script to parse.
- Execute the Generation Script: Run the video harness script with your prompt file (and optional reference image) via CLI.
- Call Vertex AI API: The skill interacts with the Vertex AI
predictLongRunningendpoint viacurland GCP authentication. - Download Output: Once the long-running operation completes, retrieve the generated video file and save it locally.
Google Cloud Vertex AI Video Generator (ADC) Setup
Make sure you have the required CLI tools installed and authenticated on your system:
- Install the Google Cloud SDK (
gcloudCLI) andcurl. - Set up your Google Cloud Project environment variables:
export GOOGLE_CLOUD_PROJECT="your-gcp-project-id"
export GOOGLE_CLOUD_LOCATION="us-central1"
export GOOGLE_CLOUD_MODEL="veo-3.1-generate-001"
- Authenticate using Application Default Credentials (ADC) or user-token mode:
# Default ADC mode (Recommended)
gcloud auth application-default login
# User-token mode (Alternative)
gcloud auth login
Google Cloud Vertex AI Video Generator (ADC) Data Schema & Taxonomy
Configuration & Argument Schema
The generation script accepts several input parameters to customize output quality and dimensions:
| Parameter | Type | Default Value | Description |
|---|---|---|---|
--prompt-file |
String (Path) | Required | Path to the local text file containing the prompt. |
--image |
String (Path) | Optional | Path to a reference image for image-to-video generation. |
--out |
String (Path) | Required | Target destination path for the output video file. |
--project |
String | Environment Variable | Google Cloud Project ID. |
--location |
String | us-central1 |
GCP region location for the execution. |
--model |
String | veo-3.1-generate-001 |
The underlying video generation AI model. |
--aspect-ratio |
String | 16:9 |
Output aspect ratio (e.g., 16:9, 1:1, 9:16). |
--duration |
Integer | 5 |
Video length in seconds. |
--resolution |
String | 720p |
Output resolution (e.g., 720p, 1080p). |
--generate-audio |
Boolean | false |
Enable or disable accompanying AI-generated audio. |
Google Cloud Vertex AI Video Generator (ADC) Advanced Features
- Custom Multi-Parameter Overrides: Fine-tune aspect ratios, video durations, resolutions, and audio options directly through command-line parameters.
- Image-to-Video Mode: Provide static images as keyframes/visual references to direct the initial layout of the generated video.
- ADC-Driven Authentication: Leverages standard Google Cloud application credentials for secure headless environments or local development.
- Dynamic Script Integration: Seamless integration with Openclaw Skills orchestrators to auto-generate video scripts, store them in local files, and chain video generation.
SKILL.md
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