Video JoyPix is an AI-powered skill that converts static images and clips into professional, shareable animated 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 video-joypix
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 video-joypix 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 Video JoyPix?
Video JoyPix is a high-performance media processing tool designed to bridge the gap between static photography and engaging video content. By leveraging cloud-based GPU nodes, it allows social media creators and developers to automate the assembly of images into 1080p MP4 files complete with transitions, music, and text overlays.
As a part of the Openclaw Skills ecosystem, this tool handles the heavy lifting of video composition, offering a streamlined pipeline from raw file upload to final render. It supports a wide variety of formats including MP4, MOV, JPG, and PNG, ensuring that creators can turn their photo collections into cinematic stories with minimal manual effort.
Video JoyPix Use Cases
- Creating product showcase videos from a set of static photos and a logo.
- Generating 30-second social media reels with automated background music and transitions.
- Batch processing photo collections into shareable video formats for marketing campaigns.
- Iterative video editing where users refine a rough cut through conversational AI instructions.
- Rapidly converting high-resolution images into lightweight, platform-optimized MP4 videos.
How Video JoyPix Works
- Authentication: The skill checks for a NEMO_TOKEN or generates an anonymous session token via the Nemovideo API.
- Session Initialization: A unique task session is created to track the video timeline and project state.
- Media Upload: Users provide images or clips which are uploaded to the cloud rendering pipeline.
- Processing (SSE): The AI interprets user instructions (e.g., 'add lo-fi music') and updates the project draft via a Server-Sent Events stream.
- Rendering: A cloud GPU node composites the layers, applies compression, and generates a 1080p video file.
- Export: The system provides a secure download URL for the final MP4 or MOV file once polling confirms completion.
Video JoyPix Setup
To get started with this skill in your environment, ensure you have your API credentials configured.
# Set your API token as an environment variable
export NEMO_TOKEN="your_nemo_token_here"
# The skill will automatically look for configuration in:
# ~/.config/nemovideo/
If no token is present, the skill will automatically attempt to provision an anonymous token with 100 credits for immediate use.
Video JoyPix Data Schema & Taxonomy
The skill organizes video projects using a structured draft schema that maps directly to the timeline tracks.
| Field | Description | Mapping |
|---|---|---|
t |
Tracks | The array of media layers in the timeline |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Specific clips or blocks within a track |
d |
Duration | Length of the segment in milliseconds |
m |
Metadata | Technical specs and file references |
All exports are processed with H.264 compression at resolutions up to 1080x1920.
Video JoyPix Advanced Features
- Multi-Agent Support: Compatible with various AI coding environments through standard Openclaw Skills headers.
- Real-time Timeline Polling: Automatically synchronizes local state with cloud edits even if the SSE stream closes.
- Automatic Credit Management: Monitors balance and provides streamlined re-authorization for interrupted sessions.
- Intelligent Intent Routing: Automatically distinguishes between requests for status, credit checks, and complex video edits.
- Custom Rendering Proxies: Leverages Lambda-based rendering for high-speed, parallel video exports.
SKILL.md
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