Editor Modi is an AI-driven video editing skill that automates cutting, transitions, and professional exports without requiring local software or GPU power.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 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 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 Editor Modi: AI-Powered Video Editing & Export?
Editor Modi allows developers and content creators to skip the steep learning curve of traditional video editing suites. By leveraging cloud-based GPU rendering, this skill processes video files up to 500MB to perform complex tasks like silence removal and transition insertion based on simple natural language descriptions. This makes it an invaluable part of the Openclaw Skills ecosystem for anyone needing fast, high-quality video production.
Everything happens server-side, meaning your local machine stays cool while the AI handles the heavy lifting. Whether you are creating social media content or screen recordings for tutorials, Editor Modi translates your intent into a professional final product in just a few minutes.
Editor Modi: AI-Powered Video Editing & Export Use Cases
- Automatically remove awkward silences and pauses from screen recordings or presentations.
- Generate polished 1080p MP4 exports for social media from raw MOV or AVI files.
- Batch process multiple video clips in a single session with specific editing instructions for each.
- Iteratively refine video drafts by adding text overlays, background music, or specific transitions via chat.
How Editor Modi: AI-Powered Video Editing & Export Works
- Establish a connection using a NEMO_TOKEN or generate a free anonymous session via the API.
- Upload raw video footage (up to 500MB) directly to the remote GPU processing node.
- Provide natural language instructions to describe the desired edits, such as 'cut out silences and add transitions'.
- Monitor the cloud render pipeline as it composites layers and applies platform-specific compression.
- Poll the export endpoint to receive a high-quality download URL for the final video file.
Editor Modi: AI-Powered Video Editing & Export Setup
To get started with Editor Modi, ensure you have your NEMO_TOKEN configured. You can use the following steps to initialize the environment:
# Set your environment variable
export NEMO_TOKEN='your_token_here'
# Or acquire an anonymous token for testing
curl -X POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token -H "X-Client-Id: $(uuidgen)"
Configuration is stored in ~/.config/nemovideo/ to maintain your session states within the Openclaw Skills framework.
Editor Modi: AI-Powered Video Editing & Export Data Schema & Taxonomy
Editor Modi uses a streamlined JSON schema to represent the video timeline and track metadata. This ensures efficient communication between the agent and the rendering engine.
| Component | Description |
|---|---|
| Track Type 0 | Video tracks containing primary footage segments. |
| Track Type 1 | Audio tracks for background music or voiceovers. |
| Track Type 7 | Text tracks for overlays and titles. |
| Draft JSON | Uses short keys like t (tracks), tt (type), and sg (segments). |
All media info is tracked via the state endpoint to allow for iterative updates during a session within Openclaw Skills.
Editor Modi: AI-Powered Video Editing & Export Advanced Features
- Support for Server-Sent Events (SSE) allows for real-time interaction during long-running editing tasks.
- Multi-track compositing enabling simultaneous text overlays, BGM, and video transitions.
- Automatic GUI instruction mapping, translating commands like 'click' or 'drag' into backend API actions.
- Session-based state persistence, allowing users to return to a project and refine edits without re-uploading files.
SKILL.md
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