Instantly transform text scripts into professional 1080p animated explainer videos with voiceover and subtitles using AI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install explainer-video-free
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 explainer-video-free using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Explainer Video Free is a powerful AI-driven tool designed to streamline the production of high-quality video content without the need for manual editing software. By integrating this skill into your workflow, you can perform AI explainer video creation by simply providing a text script or a short product description. The system handles everything from scene composition and animation to voiceover generation and subtitle synchronization.
Built to work seamlessly within the Openclaw Skills ecosystem, this tool leverages cloud-based GPU rendering to deliver finished MP4 files in just a few minutes. It is specifically optimized for users who need professional results quickly, such as startup founders, digital marketers, and educators, ensuring that high production value is accessible without high costs or steep learning curves.
To get started with this skill, you need to configure your environment. While the skill can generate an anonymous token automatically, setting a persistent token is recommended for long-term projects.
# Set your environment variable for authentication
export NEMO_TOKEN="your_nemo_api_token"
# Ensure configuration directories exist
mkdir -p ~/.config/nemovideo/
Upon your first interaction, the skill will automatically verify your Openclaw Skills setup and confirm the connection to the cloud render pipeline.
The skill organizes video data into a structured session state. This allows for complex multi-track editing and metadata tracking.
| Key | Type | Description |
|---|---|---|
| session_id | String | Unique identifier for the current video project. |
| draft | JSON | Contains the timeline data including tracks and segments. |
| track_type | Integer | Identifies content: 0 for video, 1 for audio, 7 for text. |
| video_infos | Array | Metadata regarding resolution, frame rate, and duration. |
| status | String | Current state of the render job (e.g., processing, completed). |
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