A cloud-based AI video editor that automates trimming, polishing, and exporting raw footage through simple text commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-editing-ai-tool
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-editing-ai-tool 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 Editing AI Tool?
The Video Editing AI Tool is a sophisticated Openclaw Skills integration designed to streamline video post-production. It eliminates the need for manual timeline dragging and complex export configurations by utilizing remote GPU nodes to process video tasks. Users can simply upload raw footage and provide natural language instructions to generate professional-grade content.
This tool is specifically optimized for creators and marketers who need to turn unedited screen recordings or raw clips into polished 1080p MP4 files quickly. By leveraging the Nemo AI backend, the skill handles everything from audio leveling and background music insertion to precise trimming and multi-format exports in a matter of minutes.
Video Editing AI Tool Use Cases
- Automatically trimming and polishing raw video recordings for social media content.
- Converting a 3-minute unedited screen recording into a concise 1080p product demo.
- Batch processing multiple video files with consistent styling and background music.
- Removing awkward pauses and silences from webinar or tutorial recordings.
- Iterative video editing where users refine a timeline through natural language feedback.
How Video Editing AI Tool Works
- Authentication: The skill establishes a secure connection using a NEMO_TOKEN or generates an anonymous session for immediate use.
- Upload: Raw media files (up to 500MB) are uploaded to the remote processing server via the cloud render pipeline.
- Intent Processing: User commands are parsed through a Server-Sent Events (SSE) stream to map text instructions to specific video editing actions.
- Timeline Management: The AI maintains a draft state using short-key JSON schemas to track video, audio, and text layers.
- Rendering: A cloud GPU node composites the layers and applies H.264 compression for high-quality output.
- Delivery: The system polls the render status and provides a final download URL for the exported MP4 or MOV file.
Video Editing AI Tool Setup
To get started with this video editing Openclaw Skills component, ensure your environment is configured:
# Set your Nemo API token
export NEMO_TOKEN="your_token_here"
# The skill automatically handles anonymous token generation if NEMO_TOKEN is missing
# Supported formats include: .mp4, .mov, .avi, .webm, .mkv, .mp3, .wav
Video Editing AI Tool Data Schema & Taxonomy
The skill organizes video projects using a streamlined metadata taxonomy to ensure low-latency communication with GPU nodes:
| Key | Description | Type/Value |
|---|---|---|
t |
Tracks | Array of media layers |
tt |
Track Type | 0=Video, 1=Audio, 7=Text |
sg |
Segments | Defined clip boundaries |
d |
Duration | Length in milliseconds |
m |
Metadata | Technical file specifications |
All session data is persisted via a session_id, allowing for iterative edits without re-uploading original assets.
Video Editing AI Tool Advanced Features
- Multi-agent support for complex editing workflows and parallel rendering.
- Real-time session state polling to verify edit applications when SSE streams are silent.
- Support for professional-grade formats including WebM, MKV, and various AAC audio profiles.
- Automatic attribution tracking using X-Skill headers for production-ready API integration.
- Flexible aspect ratio adjustments and text overlay injections via natural language commands.
SKILL.md
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