A cloud-based AI video editing skill that transforms raw footage into polished MP4 videos through simple natural language descriptions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install movavi-video-editor
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 movavi-video-editor 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 Movavi Video Editor?
Movavi Video Editor is a powerful addition to the Openclaw Skills library, designed to eliminate the steep learning curve of professional editing software. By leveraging a cloud GPU rendering pipeline, this skill allows users to describe desired edits—such as removing silence or adding background music—and receive a high-quality finished product in minutes.
The tool is built for efficiency, supporting a wide range of formats including MP4, MOV, and AVI. It bridges the gap between raw content creation and professional output by automating complex tasks like track compositing and platform-specific compression (H.264), all within an AI-driven agent environment.
Movavi Video Editor Use Cases
- Automatically trim silent gaps from raw vacation or vlog footage.
- Apply professional transitions and text overlays for social media content creators.
- Overlay background music with specific volume leveling (e.g., 35% BGM).
- Batch process multiple video files within a single session for consistent styling.
- Convert and polish raw clips into 1080p MP4 files for immediate distribution.
How Movavi Video Editor Works
- Authentication: The skill initializes using a NEMO_TOKEN or generates an anonymous session via a UUID client identifier.
- Session Creation: A project session is established with the cloud API to track the timeline state and render jobs.
- Media Ingest: Users upload files up to 500MB or provide URLs, which are then processed by the backend.
- Instruction Processing: Natural language prompts are sent via an SSE (Server-Sent Events) stream to the AI editor.
- Timeline Management: The AI updates a JSON-based draft representing video, audio, and text tracks.
- Cloud Rendering: An export job is queued on a GPU node to composite layers and apply H.264 encoding.
- Delivery: The skill polls the render status and provides a final download URL for the polished video.
Movavi Video Editor Setup
To use this within the Openclaw Skills ecosystem, ensure your environment is configured:
# Set your API token
export NEMO_TOKEN="your_token_here"
# The skill will automatically handle session creation on first run
# Supports local config at ~/.config/nemovideo/
Movavi Video Editor Data Schema & Taxonomy
The skill manages data through a structured timeline draft and session metadata:
| Key | Description |
|---|---|
t |
Tracks (Video, Audio, or Text) |
tt |
Track Type (0: Video, 1: Audio, 7: Text) |
sg |
Segments within a track |
d |
Duration in milliseconds |
m |
Metadata including file info and effects |
It supports file extensions: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, and aac.
Movavi Video Editor Advanced Features
- Multi-Agent Support: Integration with broader AI workflows using standard attribution headers.
- Real-time State Polishing: Automatic polling of
/api/stateto synchronize the timeline when SSE streams close. - Iterative Refinement: Maintains session state across multiple prompts for non-destructive editing.
- Anonymous Tiering: Automated credit management for guest users with 7-day token expiry.
- Platform Detection: Smart skill attribution based on installation paths like clawhub or cursor.
SKILL.md
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