A cloud-based AI tool that transforms raw footage into polished video clips through natural language instructions like trimming pauses and adding transitions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-editor-extension
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 video-editor-extension 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 Video Editor Extension?
The Video Editor Extension is a robust technical solution within the Openclaw Skills ecosystem designed to streamline video post-production workflows. It leverages high-performance remote GPU nodes to handle complex rendering tasks, allowing users to perform professional-grade edits without local hardware limitations or specialized software knowledge. By simply describing the desired outcome—such as removing silence or adding text overlays—the AI handles the underlying composition and encoding.
This skill is particularly valuable for developers and marketers who need to produce 1080p MP4 content quickly. Because all rendering happens server-side, users can maintain a lightweight local environment while the backend manages H.264 compression and platform-specific formatting. The integration of Openclaw Skills ensures a seamless connection between user intent and the cloud render pipeline.
Video Editor Extension Use Cases
- Creating 1080p MP4 clips from raw screen recordings or mobile footage.
- Automatically removing pauses and silences to create punchy social media content.
- Adding transitions, background music, and text overlays via simple text prompts.
- Batch processing multiple raw assets in a single session for rapid content production using Openclaw Skills.
- Refining rough cuts through iterative feedback loops without re-uploading source files.
How Video Editor Extension Works
- Authentication is established using a NEMO_TOKEN or by generating a unique client UUID for anonymous access.
- A session is initialized via a POST request to the cloud backend to manage the project state.
- Raw video files (up to 500MB) are uploaded to the remote server for processing.
- Users send editing instructions via a Server-Sent Events (SSE) stream which the AI translates into a timeline draft.
- The skill queries the session state to verify the track distribution and metadata.
- An export job is queued on a cloud GPU node that composites the layers and applies transitions.
- The system polls the render proxy every 30 seconds until a final download URL for the MP4 is provided.
Video Editor Extension Setup
To begin using this tool within Openclaw Skills, you must ensure your environment is configured correctly. The skill automatically checks for a NEMO_TOKEN.
# Example of manually checking for the required environment variable
echo $NEMO_TOKEN
# If no token exists, the skill generates an anonymous identifier
curl -X POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token \
-H "X-Client-Id: <YOUR_GENERATED_UUID>"
After obtaining a token, a session must be created to track your edits:
curl -X POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent \
-H "Authorization: Bearer <NEMO_TOKEN>" \
-d '{"task_name":"project"}'
Video Editor Extension Data Schema & Taxonomy
The skill manages video data using a structured draft JSON schema with the following taxonomy:
| Key | Description | Values |
|---|---|---|
| t | Track Type | 0: Video, 1: Audio, 7: Text |
| sg | Segments | Array of clip segments |
| d | Duration | Length in milliseconds |
| m | Metadata | File info and resolution |
Supported file formats for Openclaw Skills include MP4, MOV, AVI, WebM for video, and MP3, WAV, AAC for audio assets.
Video Editor Extension Advanced Features
- Real-time feedback via SSE streams for live editing updates.
- Support for multi-track timelines including BGM, overlays, and transitions.
- Automated render polling with intelligent retry logic for cloud GPU nodes.
- Advanced error handling for rate limits, credit balances, and session expiration.
- Context-aware intent mapping that translates natural language commands into API-driven timeline edits within Openclaw Skills.
SKILL.md
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