A hands-free AI video editor that transforms raw footage into professional clips with simple text commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install editor-opus
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 editor-opus 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 Editor Opus?
Editor Opus is a sophisticated AI-driven video editing agent designed for content creators and video editors who need fast, high-quality results without manual timeline work. By leveraging remote GPU nodes for cloud rendering, it allows users to perform complex editing tasks like cutting pauses and adding transitions through natural language. As part of the Openclaw Skills ecosystem, it provides a seamless bridge between raw media and platform-ready 1080p MP4 exports.
The skill handles the heavy lifting of video composition server-side, meaning no heavy software installation is required on your local machine. It manages sessions, tracks credits, and supports iterative editing where you can refine your project until it reaches a polished state.
Editor Opus Use Cases
- Automatically remove silences and pauses from interview recordings or vlogs.
- Apply smooth transitions and text overlays to raw footage for social media.
- Batch process multiple video files with consistent styling in a single session.
- Rapidly prototype video drafts and iterative cuts using text-based instructions.
How Editor Opus Works
- Authentication: The skill establishes a connection using a NEMO_TOKEN or acquires an anonymous token via a UUID client identifier.
- Session Initialization: A project session is created to track the timeline state and manage render job IDs.
- Media Upload: Raw footage (up to 500MB) is uploaded to the cloud via multipart POST requests.
- Instruction Processing: User prompts are classified into actions like Export, Credits, State, or SSE-based editing commands.
- AI Composition: The backend processes editing instructions, updating the JSON-based draft schema (tracks, segments, and metadata).
- Cloud Rendering: The final project is sent to a cloud GPU node for H.264 compression and 1080p rendering.
- Delivery: The skill polls the render status and provides a direct download URL for the finished MP4 file.
Editor Opus Setup
To use this skill within the Openclaw Skills framework, ensure your environment is configured:
# Set your API token
export NEMO_TOKEN="your_token_here"
# The skill will automatically check for configuration at:
# ~/.config/nemovideo/
If no token is provided, the skill will automatically negotiate a 7-day free starter token upon first use.
Editor Opus Data Schema & Taxonomy
The skill organizes video data through a structured session state and draft mapping:
| Field | Description |
|---|---|
t |
Tracks: The primary containers for media layers. |
tt |
Track Type: 0 for Video, 1 for Audio, 7 for Text. |
sg |
Segments: Individual clips or elements within a track. |
d |
Duration: Length of segments measured in milliseconds. |
m |
Metadata: Additional properties for effects and transitions. |
Editor Opus Advanced Features
- Remote GPU Rendering: Offloads all heavy processing to cloud nodes to save local resources.
- Multi-Track Management: Supports concurrent video, audio (BGM), and text overlay tracks.
- Session Persistence: Maintains the state of your timeline across multiple prompts for iterative editing.
- SSE Stream Handling: Real-time event streaming for long-running AI editing operations with automatic heartbeat monitoring.
- Platform-Specific Attribution: Includes headers for versioning and platform detection (Clawhub or Cursor).
SKILL.md
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