A professional AI video generation skill that converts text descriptions and static images into dynamic video content via remote API integration.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install magic-image2video
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 magic-image2video 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 Magic Image2Video?
Magic Image2Video is a specialized skill designed for Openclaw Skills that bridges the gap between static assets and cinematic video. By leveraging a remote video service, it allows users to provide a prompt and an image (either via URL or local path) to generate high-fidelity video content automatically.
This skill is built for seamless integration within AI agent workflows, featuring built-in polling mechanisms that track task status from creation to completion. It ensures that developers and creators can automate the video production lifecycle without manual oversight, making it a cornerstone for automated media pipelines.
Magic Image2Video Use Cases
- Creating dynamic marketing clips from static product photography.
- Animating conceptual art or AI-generated images based on specific text prompts.
- Automating video content creation for social media using localized image assets.
- Transforming storyboard frames into video previews during the creative design process.
How Magic Image2Video Works
- The agent extracts the user's text prompt and the image source (URL or local file path).
- A
video-createcommand is issued to the remote service to initialize the generation task. - The system captures the unique task_id from the JSON response and shares it with the user.
- An automated polling process triggers the
video-waitcommand to monitor progress every 10 seconds. - Upon successful completion (status 2), the final video URL is retrieved and presented to the user.
Magic Image2Video Setup
To use this within your Openclaw Skills environment, ensure Python 3 is installed and configure your API credentials:
# Set your Magic API Key
export MAGIC_API_KEY="your-key-here"
# Verify the client script is accessible in your skill directory
python3 ./scripts/media_gen_client.py --help
Magic Image2Video Data Schema & Taxonomy
The skill utilizes standardized JSON structures for communication with the video API. Below is the schema for task monitoring:
| Field | Type | Description |
|---|---|---|
task_id |
String | Unique identifier for the video generation task. |
task_status |
Integer | Represents current state (e.g., 2 for Success). |
video_url |
String | The direct URL to the generated MP4 file. |
biz_code |
Integer | Business logic return code (10000 for Success). |
Magic Image2Video Advanced Features
- Intelligent polling with configurable intervals and timeouts (up to 600 seconds).
- Automatic escaping of special characters in text prompts to prevent command-line injection.
- Support for both remote hosted image URLs and local filesystem paths.
- Detailed trace_id logging for debugging and tracking API requests across the Openclaw Skills ecosystem.
SKILL.md
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