A professional-grade AI video generation skill that converts text scripts, documents, and prompts into high-quality 1080p MP4 videos via a cloud GPU rendering pipeline.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install create-ai-video-from-text
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 create-ai-video-from-text using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Create AI Video From Text skill is a high-performance tool designed for developers and marketers to bridge the gap between written content and visual media. By leveraging advanced Openclaw Skills capabilities, it allows users to input text prompts or upload documents like DOCX and PDF files to trigger a sophisticated cloud-based rendering process.
This skill automates the complex pipeline of video compositing, voiceover generation, and background music integration. Whether you are looking to turn this product description into a 30-second promotional video or generate a quick social media clip, the system processes requests on high-end GPUs to deliver production-ready 1080p results within 1-2 minutes.
To integrate this into your Openclaw Skills environment, ensure you have your API token ready and follow these steps:
# Set your environment variable
export NEMO_TOKEN="your_token_here"
# The skill will automatically check for configuration at:
# ~/.config/nemovideo/
If no token is present, the skill will automatically attempt to provision an anonymous session with 100 credits valid for 7 days.
The skill organizes data through a structured session state and timeline draft system:
| Field | Description |
|---|---|
task_id |
Unique identifier for the specific video project |
session_id |
Persistent ID for maintaining the editing timeline |
draft |
JSON object containing tracks (t), track types (tt), and segments (sg) |
video_infos |
Metadata regarding the visual assets and generated media |
Supported Formats:
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