A technical foundation for programmatically creating AI-generated digital human videos using the HeyGen API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install heygen-avatar-lite
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-avatar-lite 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 Avatar Video (Lite) skill provides the essential framework for developers to integrate lifelike digital avatars into their applications. By leveraging Openclaw Skills, users can automate the process of turning text scripts into high-quality video content featuring realistic avatars and synthetic voices. This skill serves as a gateway to scalable video production, removing the need for traditional filming, lighting, and editing.
This lite version focuses on the core API lifecycle, enabling you to select from a vast library of avatars and voices to produce content tailored for various platforms. Whether you are localized content for global markets or building personalized customer experiences, this skill offers a robust starting point for AI-driven media generation.
To begin using this skill from the Openclaw Skills repository, ensure you have a HeyGen account (Creator plan recommended).
# 1. Set your API key
HEYGEN_API_KEY="your_api_key_here"
# 2. Test your connection by fetching available voices
curl -X GET "https://api.heygen.com/v2/voices" \
-H "X-Api-Key: $HEYGEN_API_KEY"
The skill manages video generation through specific metadata and technical parameters organized as follows:
| Parameter | Type | Description |
|---|---|---|
| avatar_id | String | Unique identifier for the chosen digital human character. |
| voice_id | String | The specific voice model used to synthesize the script. |
| input_text | String | The textual script the avatar will perform. |
| dimension | Object | Defines width and height (e.g., 1280x720, 720x1280, 1080x1080). |
| video_status | String | Tracks the lifecycle from 'processing' to 'completed'. |
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