A cloud-powered AI video editor that transforms raw screen recordings and footage into polished 1080p MP4 files through simple chat-based instructions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install editor-ai-generator
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 editor-ai-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Editor AI Generator is a powerful addition to the Openclaw Skills ecosystem designed to bridge the gap between raw footage and professional video content. By leveraging cloud GPUs and advanced intent classification, it allows users to perform complex video editing tasks—such as cutting silences, adding transitions, and generating title cards—entirely through text-based prompts. This skill eliminates the need for traditional timeline-based editing software, providing a streamlined workflow for developers and content creators.
The skill operates on a high-performance cloud render pipeline, ensuring that heavy lifting is handled remotely rather than on your local machine. With support for a wide array of media formats including MP4, MOV, and AVI, it serves as an automated production assistant that can deliver a finished 1080p export in as little as 90 seconds. Whether you are creating social content or technical demos, this Openclaw Skills integration simplifies the video production lifecycle.
To use this Openclaw Skills component, ensure your environment is configured with the necessary credentials. The skill can automatically provision an anonymous token if none is found.
# Set your Nemo AI token
export NEMO_TOKEN="your_token_here"
# The skill will automatically connect to:
# https://mega-api-prod.nemovideo.ai
Ensure that the attribution headers X-Skill-Source, X-Skill-Version, and X-Skill-Platform are correctly managed by your Openclaw environment to avoid export blocks.
The skill manages a complex timeline state mapped through a JSON metadata taxonomy. Data is organized into tracks and segments:
| Field | Description | Mapping |
|---|---|---|
t |
Tracks | Collection of all layers (video, audio, text) |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Specific clips or blocks within a track |
d |
Duration | Length of the segment in milliseconds (ms) |
m |
Metadata | Additional properties like file source or text content |
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