An AI-powered video editing skill that automates the process of trimming pauses, adding captions, and exporting polished screen recordings via cloud GPUs.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install screen-recording-online
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 screen-recording-online using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Screen Recording Online is a specialized tool designed for Openclaw Skills that bridges the gap between raw screen captures and professional-grade video content. By leveraging remote cloud GPU nodes, this skill allows developers, educators, and marketers to perform complex video editing tasks—such as silence removal and caption generation—without taxing their local hardware. It supports a wide range of formats including MP4, MOV, WebM, and AVI, delivering high-quality 1080p outputs in a fraction of the time required by traditional manual editing.
The skill operates through a sophisticated Server-Sent Events (SSE) pipeline, ensuring that every edit, from background music integration to text overlays, is processed with precision. Whether you are creating a quick technical demo or a long-form educational tutorial, this Openclaw Skills extension provides an automated, server-side rendering workflow that scales with your project needs.
To begin using this skill within the Openclaw Skills ecosystem, ensure your environment is configured to store the necessary session tokens.
# The skill automatically handles token generation if NEMO_TOKEN is missing.
# Ensure your config directory exists:
mkdir -p ~/.config/nemovideo/
# To check your current credit balance (anonymous users get 100 free credits):
# The skill will prompt for a registration link if credits are depleted.
The skill manages video projects using a structured session-based taxonomy to track edits and media assets.
| Data Component | Description |
|---|---|
| Tracks (t) | Organized by type: Video (0), Audio (1), and Text (7). |
| Segments (sg) | Individual clips defined by duration (d) in milliseconds. |
| Metadata (m) | Stores attribution headers and versioning (e.g., X-Skill-Source). |
| Draft JSON | A compressed state object containing the current timeline configuration. |
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