A powerful AI video generation skill that transforms text descriptions and scripts into high-quality 1080p videos with visuals and music.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install text-to-video-automatic
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install text-to-video-automatic using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is text-to-video-automatic?
The text-to-video-automatic skill is a professional-grade integration designed for Openclaw Skills users who need to bridge the gap between written content and visual media. It eliminates the need for manual timeline editing or complex export configurations by utilizing a cloud-based GPU rendering pipeline. Whether you are working with a product description or a social media script, this tool automates the composition of video layers, audio tracks, and text overlays.
By leveraging the Nemo Video backend, this skill provides a seamless 'text-to-result' workflow. It handles everything from asset processing to final rendering, delivering a production-ready MP4 file in approximately 1-2 minutes. This makes it an essential tool for developers and creators looking to scale their video content production through simple natural language commands.
text-to-video-automatic Use Cases
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How text-to-video-automatic Works
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text-to-video-automatic Setup
To start using this skill within the Openclaw Skills ecosystem, ensure your environment is configured correctly:
# Set your Nemo API token (Required for persistent sessions)
export NEMO_TOKEN="your_token_here"
# The skill will automatically initialize the config path
mkdir -p ~/.config/nemovideo/
On first run, the skill will detect your environment and create a session automatically. If no token is found, a temporary anonymous token with 100 free credits will be generated for immediate use.
text-to-video-automatic Data Schema & Taxonomy
The skill manages a complex internal state to ensure timeline consistency. Data is organized according to the following taxonomy:
| Key | Name | Description |
|---|---|---|
t |
Tracks | Array of all media layers in the project |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Specific clips or blocks within a track |
d |
Duration | The length of the segment in milliseconds (ms) |
m |
Metadata | Additional properties like volume or font styles |
All exports are standardized to H.264 MP4 format with support for resolutions up to 1080x1920.
text-to-video-automatic Advanced Features
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SKILL.md
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