A professional AI-driven video production skill that converts raw images, clips, and text prompts into high-quality 1080p videos using cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install create-video-with-ai
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 create-video-with-ai 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 Create Video with AI?
The create-video-with-ai skill is a powerful tool within the Openclaw Skills ecosystem designed for marketers, content creators, and developers who need to automate video production. By leveraging remote GPU nodes, this skill handles heavy lifting like compositing video layers, applying text overlays, and syncing audio tracks without taxing your local machine.
Whether you are converting a handful of product photos into a promotional clip or generating a 30-second video from a text description, this skill streamlines the entire workflow. It supports a wide array of file formats including MP4, MOV, JPG, and PNG, ensuring that your existing assets are easily integrated into professional AI-generated content.
Create Video with AI Use Cases
- Creating 30-second promotional videos from static product photos and logos.
- Automating the generation of social media content using text-to-video prompts.
- Adding background music (BGM) and synchronized text overlays to existing video clips.
- Batch processing multiple media assets into consistent video styles for marketing campaigns.
- Rapid prototyping of video concepts using iterative AI editing in a single session.
How Create Video with AI Works
- Authentication: The skill establishes a secure connection using a NEMO_TOKEN or generates an anonymous session identifier.
- Session Initialization: A specialized AI agent session is created to track the state of your project timeline and assets.
- Asset Upload: Users provide images, clips, or URLs (up to 500MB) which are uploaded to the cloud processing pipeline.
- Intent Processing: Natural language instructions are parsed to define tracks, transitions, and effects.
- Cloud Rendering: The project is queued on a cloud GPU node for composition and platform-specific compression (H.264).
- Export & Delivery: A final 1080p MP4 file is generated and a download URL is provided to the user within 1-2 minutes.
Create Video with AI Setup
To use this Openclaw Skills entry, ensure your environment is configured with the necessary API tokens.
# Set your Nemo API token
export NEMO_TOKEN="your_token_here"
# The skill will automatically look for config at:
# ~/.config/nemovideo/
If you do not have a token, the skill will automatically attempt to acquire a starter token with 100 free credits via an anonymous handshake.
Create Video with AI Data Schema & Taxonomy
The skill manages complex timeline data using a compact JSON schema within the session state:
| Key | Definition | Description |
|---|---|---|
t |
Tracks | Array of media layers (Video, Audio, Text) |
tt |
Track Type | 0 = Video, 1 = Audio, 7 = Text |
sg |
Segments | Specific clips or assets within a track |
d |
Duration | Length of the segment in milliseconds (ms) |
m |
Metadata | Technical specs and asset positioning |
All generated files are output as high-quality MP4 files by default.
Create Video with AI Advanced Features
- Server-Side Events (SSE): Real-time processing stream for interactive editing and status updates.
- Multi-Track Timeline: Support for overlaying multiple video, audio, and text layers in a single render.
- Persistence: Session-based state management allows for iterative refinements without re-uploading assets.
- Automated Credit Management: Built-in logic to check balances and handle registration for extended usage.
- Hardware Acceleration: Offloads all rendering tasks to high-performance cloud GPU nodes.
SKILL.md
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