An AI-powered video editing skill that automates cuts, pacing, and transitions to transform raw footage into styled 1080p content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-editor-modi
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-modi 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 Modi?
Video Editor Modi is a sophisticated cloud-based editing tool designed for content creators and social media editors who need professional results without the manual overhead. By leveraging Openclaw Skills, this tool connects to a powerful cloud GPU rendering pipeline to apply specific moods, styles, and pacing to raw video files.
The skill excels at turning unedited talking-head recordings or b-roll into polished 1080p MP4 files. Whether you are looking to apply the signature Modi style or need automated transitions and text overlays, this skill streamlines the entire production workflow directly within your AI agent environment.
Video Editor Modi Use Cases
- Automatically editing raw talking-head recordings into social-media-ready clips.
- Applying consistent visual styles and pacing to multiple video assets for a brand.
- Generating quick rough cuts with AI-driven transitions and background music.
- Converting unedited footage into high-quality 1080p MP4 files for distribution.
- Rapidly iterating on video edits by describing changes instead of using a timeline.
How Video Editor Modi Works
- The user uploads raw video footage (MP4, MOV, AVI, or WebM) or provides a URL to the media.
- The skill establishes a secure session with the cloud processing backend using an automated authentication flow.
- User instructions are analyzed via intent classification to route tasks like style application, credit checks, or exports.
- The AI processes the request via a Server-Sent Events (SSE) stream, applying edits to a virtual timeline.
- A cloud GPU node composites the video layers, applies compression, and renders the final 1080p file.
- The user receives a download URL for the finished MP4 video, typically within 1-2 minutes.
Video Editor Modi Setup
To begin using this tool 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
# and anonymous token generation if NEMO_TOKEN is missing.
Authentication tokens are valid for 7 days, providing 100 free credits upon initial anonymous registration.
Video Editor Modi Data Schema & Taxonomy
The skill manages video projects using a session-based state and a lightweight JSON draft schema:
| Key | Description |
|---|---|
t |
Tracks (Video, Audio, or Text) |
tt |
Track Type (0: Video, 1: Audio, 7: Text) |
sg |
Segments within the track |
d |
Duration in milliseconds |
m |
Metadata including file resolution and format |
All generated media is stored in the cloud session state under generated_media and is accessible via unique render job IDs.
Video Editor Modi Advanced Features
- Multi-track support for simultaneous video, BGM, and text overlay management.
- Cloud GPU rendering pipeline capable of handling files up to 500MB.
- Iterative editing capabilities where session state is preserved for follow-up tweaks.
- Automated platform-specific compression (H.264) for 1080x1920 or 1920x1080 outputs.
- Batch processing support for handling multiple files within a single project session.
SKILL.md
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