A powerful AI video editing skill that transforms raw footage into professional HD videos using automated cloud-based GPU rendering.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install automatic-video-free-hd
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 automatic-video-free-hd using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Automatic Video Free HD is an advanced entry in the Openclaw Skills library designed to eliminate the steep learning curve of professional video editing software. By leveraging remote GPU nodes, this skill allows users to describe their desired output in plain English and receive a polished, high-definition video in return. Whether you need to convert a simple phone recording or create a complex edit with transitions and background music, the AI handles the heavy lifting server-side.
This skill is specifically optimized for content creators who require high-quality output without the overhead of manual editing or expensive software subscriptions. It supports a wide range of formats including MP4, MOV, and AVI, handling files up to 500MB with a streamlined workflow that delivers results in as little as 1-2 minutes.
To use this within the Openclaw Skills ecosystem, ensure your environment is configured:
# Export your NEMO_TOKEN to your environment
export NEMO_TOKEN="your_token_here"
# The skill will automatically detect your platform
# Supported paths include ~/.clawhub/ or ~/.cursor/skills/
If you do not have a token, the skill will automatically attempt to generate a 7-day anonymous trial token during the first connection.
The skill manages video projects using a compact JSON metadata taxonomy for rapid processing:
| Key | Description |
|---|---|
t |
Number of tracks in the timeline |
tt |
Track type (0: Video, 1: Audio, 7: Text) |
sg |
Segments within the track |
d |
Duration in milliseconds (ms) |
m |
Metadata associated with the asset |
All exported files are rendered in HD (up to 1080x1920) using the H.264 codec.
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