An AI-powered skill that transforms text prompts and reference images into high-resolution 1080p videos and digital artwork using cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openart-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 openart-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 OpenArt AI?
OpenArt AI is a specialized skill for the Openclaw Skills ecosystem designed for digital artists, content creators, and developers. It bridges the gap between simple text prompts and professional-grade visual assets by leveraging a high-performance cloud rendering pipeline. Whether you are looking to generate an anime-style portrait from a reference photo or produce a complex fantasy landscape in motion, this skill handles the heavy lifting of GPU processing in 20-40 seconds.
The skill provides a robust interface for managing media sessions, tracking rendering credits, and exporting finalized MP4 files. By integrating directly into your AI agent workflow, OpenArt AI allows for iterative creative processes where prompts can be refined and visuals updated in real-time, all within a single session.
OpenArt AI Use Cases
- Transforming a text prompt describing a fantasy landscape into a 1080p MP4 video.
- Generating an anime-style portrait from a reference photo for social media or avatars.
- Creating short, animated visuals for digital marketing and content creation.
- Iterative video editing using SSE-based tool calls to refine tracks and segments.
How OpenArt AI Works
- Authentication: The skill checks for a NEMO_TOKEN environment variable or generates an anonymous token for temporary use.
- Session Initialization: A unique session is created on the cloud backend to manage the state of the media project and timeline.
- Input Processing: Users upload files or send text prompts which are routed via keyword classification to specific actions like SSE message processing or direct uploads.
- Cloud Rendering: The system queues jobs on GPU nodes to composite layers, apply H.264 compression, and render the final media.
- Export & Polling: The skill initiates a render proxy and polls the status every 30 seconds until a final 1080p download URL is generated.
OpenArt AI Setup
To use this Openclaw Skills integration, you must configure your environment token.
# Set your API token as an environment variable
export NEMO_TOKEN="your_api_token_here"
# The skill will automatically handle session creation on first run
Ensure your config path is set to ~/.config/nemovideo/ if you are using custom configurations.
OpenArt AI Data Schema & Taxonomy
The skill manages complex project states via the following data structures:
| Data Object | Description |
|---|---|
| session_id | Unique identifier for the current project state |
| draft | JSON object containing timeline tracks (t) and segments (sg) |
| video_infos | Metadata regarding uploaded and generated video assets |
| credits | Balance of available and frozen rendering units |
Track types are classified as 0 (video), 1 (audio), or 7 (text). All durations (d) are tracked in milliseconds.
OpenArt AI Advanced Features
- Multi-track timeline management supporting video, audio, and text overlay layers.
- Real-time Server-Sent Events (SSE) for interactive editing and tool-calling updates.
- Automatic anonymous token lifecycle management with 100-credit initial grants.
- High-performance cloud GPU rendering with support for files up to 200MB.
- GUI instruction mapping that translates backend visual commands into API actions.
SKILL.md
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