An AI-powered video editing skill that automates trimming, transitions, and cloud-based 1080p rendering for content creators.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install simple-video-editing-with
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 simple-video-editing-with 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 Simple Video Editing With AI?
Simple Video Editing With AI is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between raw footage and social-media-ready content. By leveraging cloud GPUs, it allows users to process video files up to 500MB—including MP4, MOV, and WebM formats—without requiring high-end local hardware. This skill automates complex editing tasks such as trimming pauses and applying transitions through simple natural language commands.
The skill operates on a high-performance render pipeline, delivering polished 1080p MP4 files in approximately 30 to 90 seconds. It is specifically optimized for creators who need rapid turnarounds for screen recordings or short-form social media clips, offering a seamless alternative to traditional, resource-heavy desktop editing software.
Simple Video Editing With AI Use Cases
- Automatically trimming long pauses and dead air from unedited screen recordings.
- Adding professional transitions and text overlays to raw video clips for social media.
- Converting and cleaning up various video formats (AVI, MOV, WebM) into standardized 1080p MP4 files.
- Batch processing multiple video assets within a single session to maintain stylistic consistency.
- Rapidly iterating on video drafts by refining instructions through an AI-managed timeline.
How Simple Video Editing With AI Works
- Authentication and Initialization: The skill detects or generates a NEMO_TOKEN and establishes a secure session with the cloud backend.
- Media Ingestion: Users upload raw video files or provide URLs; files are staged in the cloud environment for processing.
- Intent Classification: Natural language prompts are analyzed to map user requests to specific actions like trimming, adding background music, or exporting.
- Cloud Rendering: The task is queued on a cloud GPU node where video layers are composited and H.264 compression is applied.
- Polling and Delivery: The system monitors the render status every 30 seconds and provides a direct download URL once the high-quality MP4 is ready.
Simple Video Editing With AI Setup
To use this skill within the Openclaw Skills framework, ensure your environment is configured correctly:
# Set your backend token
export NEMO_TOKEN="your_token_here"
# Configuration is stored in your home directory
mkdir -p ~/.config/nemovideo/
If a token is not provided, the skill will automatically attempt to acquire an anonymous token via a POST request to the NEMO API using a unique client identifier.
Simple Video Editing With AI Data Schema & Taxonomy
The skill manages video projects using a structured session state and draft mapping system:
| Field | Description | Taxonomy |
|---|---|---|
t |
Tracks | Array of media layers (Video, Audio, Text) |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Specific time-slices of media clips |
d |
Duration | Length of the segment in milliseconds (ms) |
m |
Metadata | Technical specs and source attribution |
Simple Video Editing With AI Advanced Features
- Server-Sent Events (SSE) Integration: Real-time progress updates and heartbeat monitoring for long-running render tasks.
- Multi-Agent Session Support: Shared session IDs allow for collaborative or multi-stage editing workflows.
- Automated GUI Translation: Converts backend-driven UI commands (like 'click button') into programmatic API executions.
- Flexible Export Profiles: Support for diverse containers and codecs including H.264, WebM, and AAC for audio extraction.
- Adaptive Credit Management: Real-time balance checking and automated token refreshing to prevent workflow interruptions.
SKILL.md
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