A professional AI video generation skill that transforms text prompts and static images into high-quality cinematic clips.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pixverse-ai
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install pixverse-ai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
PixVerse AI is a high-performance video synthesis tool integrated within the Openclaw Skills ecosystem to provide creators with a direct interface to advanced diffusion-based video generation. It allows users to bypass the complexities of traditional video production by interpreting natural language descriptions of scenes, lighting, and motion. By leveraging cloud-based rendering, this skill enables the creation of fluid, professional-grade video content without requiring high-end local hardware.
The skill is designed for speed and creative flexibility, making it an ideal choice for social media managers, filmmakers, and marketers who need to produce high-impact visual content instantly. Whether you are starting with a simple sentence or a reference image, PixVerse AI handles the heavy lifting of composition and animation to deliver ready-to-use video assets.
To get started with PixVerse AI via Openclaw Skills, you can configure your environment with an existing API token or use the built-in anonymous authentication.
# Set your environment variable for persistent access
export NEMO_TOKEN="your_nemo_token_here"
# Configuration files are stored at:
# ~/.config/nemovideo/
If no token is provided, the skill will automatically request a free starter token with 100 credits, allowing you to begin generating video content immediately.
The skill manages video projects through a structured session model that tracks multi-layered timelines and media metadata.
| Field | Type | Description |
|---|---|---|
| session_id | String | Unique identifier for the current video project session |
| track_type | Enum | Defines the layer type: 0 for Video, 1 for Audio, 7 for Text |
| draft | JSON | Contains the mapping of tracks, segments, and timing metadata |
| output.url | URL | The final rendered media link for download or preview |
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