An AI-powered video editing skill that automates trimming, transitions, and 1080p rendering using cloud-based GPU nodes.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-editor
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 free-editor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Free Editor is a sophisticated tool within the Openclaw Skills ecosystem designed to streamline the video post-production workflow. By offloading heavy rendering tasks to remote cloud GPUs, it allows users to edit high-quality video clips—including MP4, MOV, and WebM formats—without the need for expensive local hardware or paid software subscriptions. The skill excels at taking raw footage and applying complex edits like pause removal, text overlays, and professional transitions based on simple natural language instructions.
Built for speed and accessibility, Free Editor provides a seamless bridge between local files and professional-grade output. It handles files up to 500MB and typically delivers a finished 1080p MP4 file in under 90 seconds. Whether you are a content creator looking for a quick cut or a student finalizing a presentation, this Openclaw Skills integration provides a robust, server-side rendering pipeline that ensures widest compatibility across all digital platforms.
To initialize Free Editor within your Openclaw Skills environment, ensure your API token is configured. The skill can automatically generate an anonymous token if one is not provided.
# Set your Nemo API Token
export NEMO_TOKEN="your_token_here"
# The skill will automatically connect to:
# https://mega-api-prod.nemovideo.ai
On first run, the skill performs a handshake to verify your client ID and establish a session ID for tracking your video projects.
Free Editor uses a condensed JSON schema to manage the video timeline and metadata efficiently. This ensures fast communication between the Openclaw Skills client and the GPU render nodes.
| Key | Description | Values/Examples |
|---|---|---|
t |
Tracks | Array of video, audio, or text layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Specific clips within a track |
d |
Duration | Time in milliseconds (ms) |
m |
Metadata | Media info and taxonomy labels |
All session data and render job IDs are stored server-side, mapped to your unique session token.
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