A multi-engine CLI skill for generating cinematic AI videos from text or images using industry-leading models like Luma Dream Machine, Runway ML, and Kling AI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-video-generator
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 ai-video-generator 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 Generator?
The AI Video Generator is a powerful addition to the Openclaw Skills ecosystem, designed for developers and creators who need a unified interface for AI video production. By integrating top-tier platforms such as Luma Dream Machine, Runway ML, and Kling AI, it allows users to bypass complex API implementations and generate videos directly via simple CLI commands.
Whether you are looking for high-speed high-quality outputs from Luma, professional-grade control from Runway, or the specialized creative performance of Kling AI, this Openclaw Skills package provides the necessary abstractions. It supports both text-to-video and image-to-video workflows, making it an essential tool for automated content creation and rapid prototyping.
AI Video Generator Use Cases
- Creating cinematic 5-10 second video clips from descriptive text prompts.
- Animating static images using image-to-video technology for dynamic storytelling.
- Batch processing video generation for social media or marketing automation.
- Comparing different AI video models (Luma vs. Runway vs. Kling) for specific creative needs.
- Integrating automated video generation into larger AI agent workflows.
How AI Video Generator Works
- The user provides a text prompt and selects a preferred video platform via CLI arguments.
- The skill authenticates with the chosen provider using a configured API key (passed via flag or environment variable).
- If an input image is provided, the skill processes an image-to-video request; otherwise, it defaults to text-to-video.
- The script monitors the generation status on the remote server until the video is finalized.
- The completed MP4 file is downloaded and saved locally using a standardized, timestamped naming convention.
AI Video Generator Setup
To get started with this component of Openclaw Skills, ensure you have curl and jq installed on your system. You can configure your API keys as environment variables for convenience.
# Set your API keys
export LUMA_API_KEY="your_key_here"
export RUNWAY_API_KEY="your_key_here"
export KLING_API_KEY="your_key_here"
# Run a test generation with Luma
uv run scripts/generate_video.py --platform luma --prompt "Cinematic sunset over mountains" --filename "test.mp4"
AI Video Generator Data Schema & Taxonomy
The skill follows a strict file naming and metadata organization pattern to ensure compatibility within the Openclaw Skills directory.
| Attribute | Format / Details |
|---|---|
| Filename | yyyy-mm-dd-hh-mm-ss-{platform}-{description}.mp4 |
| Supported Formats | MP4 |
| Platform Tags | luma, runway, kling |
| Config Dependencies | Requires LUMA_API_KEY, RUNWAY_API_KEY, or KLING_API_KEY |
AI Video Generator Advanced Features
- Multi-Platform Support: Toggle between different AI engines without changing your code logic.
- Variable Duration Control: Specify 5-second or 10-second outputs depending on platform capabilities.
- Image-to-Video: Utilize
--input-imageto provide visual context for motion generation. - Automated Workspace Integration: Designed to run within the
.openclaw/workspace/skills/directory for seamless agent interaction. - Graceful Error Handling: Includes built-in checks for quota exhaustion and invalid prompt detection.
SKILL.md
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