A professional AI video generation skill that converts text scripts and images into high-quality talking avatar presenter videos using cloud-based GPU rendering.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install heygen-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 heygen-ai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The HeyGen AI skill enables users to generate high-fidelity AI avatar videos directly through their agent interface. By leveraging Openclaw Skills, this integration automates the process of connecting to remote GPU clusters to handle complex video compositing, text-to-speech synchronization, and H.264 compression. It is specifically designed for marketers and developers who need to produce spokesperson content without expensive filming equipment or local processing power.
This skill streamlines the production pipeline by managing cloud sessions and rendering jobs. It supports a wide array of file formats including MP4, MOV, JPG, and PNG, allowing for a versatile range of input sources. Whether you are building a product demo or a social media campaign, this tool ensures 1080p output quality with a typical turnaround of just one to two minutes.
To get started with this integration in Openclaw Skills, you need to configure your environment. On first run, the skill can automatically Provision an anonymous token if one is not provided.
# Optional: Manually set your token
export NEMO_TOKEN="your_nemo_api_token"
# The skill will automatically interact with the backend:
# API Base: https://mega-api-prod.nemovideo.ai
The skill organizes video project data using a structured draft JSON schema to track timeline segments and assets.
| Key | Definition | Description |
|---|---|---|
| t | Tracks | A list of all video, audio, and text layers in the project. |
| tt | Track Type | Identifies layer type: 0 for video, 1 for audio, 7 for text. |
| sg | Segments | The specific media clips placed within a track. |
| d | Duration | The length of a segment measured in milliseconds. |
| m | Metadata | Technical specifications for asset rendering and positioning. |
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