A powerful OpenClaw plugin for generating high-quality AI videos, images, and talking avatars via the Hedra API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-hedra
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 openclaw-hedra using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Hedra plugin is a specialized toolset designed for Openclaw Skills that enables AI agents to create complex visual media. By leveraging Hedra's advanced generative models, this skill allows agents to transform text prompts into cinematic videos, photo-realistic images, and synchronized talking avatars. It is built for developers who need to automate media production or add visual capabilities to their AI-driven applications.
This integration simplifies the interaction with Hedra's API, providing structured tools for model discovery, voice selection, and credit management. By using these Openclaw Skills, developers can build agents that not only write content but also produce the accompanying visual and audio assets autonomously.
To get started, you must have a Hedra Creator plan or above. Obtain your API key from the Hedra dashboard and add it to your openclaw.json configuration:
{
"plugins": {
"entries": {
"hedra": {
"enabled": true,
"config": {
"apiKey": "sk_h_your-key-here"
}
}
}
}
}
Alternatively, you can set the environment variable in your shell:
export HEDRA_API_KEY='your-api-key-here'
The skill manages configuration and generation metadata through the following structure:
| Attribute | Description |
|---|---|
| apiKey | The authentication token for Hedra API access. |
| defaultVideoModel | The fallback model used for video generation tasks. |
| defaultImageModel | The fallback model used for image generation tasks. |
| tool_outputs | Returns URLs, credit balances, and model/voice identifiers. |
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