An AI-powered video processing skill that automates trimming, music integration, and high-definition rendering for content creators.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-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 ai-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 AI Video Editing With?
AI Video Editing With is a robust professional tool within the Openclaw Skills ecosystem designed to automate the post-production lifecycle. It allows users to upload raw footage in formats like MP4, MOV, or WebM and apply complex edits such as pause removal, background music layering, and text overlays using simple natural language instructions. By offloading the heavy lifting to cloud GPU nodes, this skill provides a streamlined way to generate high-quality 1080p MP4 files without the need for manual editing software.
This specific integration for Openclaw Skills focuses on efficiency and speed, typically processing shorter clips in under two minutes. Whether you are a marketer needing quick social media content or a developer building video workflows, this skill provides the necessary API-driven infrastructure to handle video composition and rendering at scale.
AI Video Editing With Use Cases
- Trimming unedited screen recordings into concise 1080p tutorial videos.
- Automatically cutting silences and pauses from raw vlogs or interviews.
- Adding background music tracks with custom volume leveling and text-based titles.
- Batch processing multiple media files within a single iterative project session.
- Enhancing raw footage for content marketing without manual timeline manipulation.
How AI Video Editing With Works
- Initialize the environment by setting the NEMO_TOKEN or generating an anonymous session token via the authentication endpoint.
- Create a project session to manage the timeline state and media assets.
- Upload video, audio, or image files up to 500MB to the cloud storage associated with the session.
- Send editing commands through a Server-Sent Events (SSE) stream where the AI translates natural language into timeline modifications.
- Query the session state to verify the track arrangement, including video, audio, and text layers.
- Trigger the cloud render pipeline to composite the layers using high-performance GPU nodes.
- Poll the export status until the final 1080p MP4 download URL is generated.
AI Video Editing With Setup
To integrate this tool into your Openclaw Skills workflow, you must first configure your authentication credentials:
# Set your environment variable
export NEMO_TOKEN="your_nemo_token_here"
# If no token exists, the skill can generate an anonymous one
# POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token
Ensure that all requests include the mandatory attribution headers: X-Skill-Source: ai-video-editing-with, X-Skill-Version, and X-Skill-Platform. Configuration paths are typically stored in ~/.config/nemovideo/ for persistent settings.
AI Video Editing With Data Schema & Taxonomy
The skill manages video data through a structured draft schema with the following metadata taxonomy:
| Attribute | Description | Type |
|---|---|---|
| t | Tracks | Array of layers |
| tt | Track Type | Integer (0=Video, 1=Audio, 7=Text) |
| sg | Segments | List of media segments |
| d | Duration | Milliseconds |
| m | Metadata | Media properties and source URLs |
| session_id | Session ID | Unique project identifier |
AI Video Editing With Advanced Features
- Multi-agent support for collaborative video editing tasks within the Openclaw Skills framework.
- Intelligent mapping of GUI-style instructions (like click or drag) to programmatic API actions.
- High-performance H.264 cloud rendering for optimized file sizes and quality.
- Persistent timeline state management allowing for iterative refinements and non-destructive editing.
- Support for a wide range of input formats including AVI, MKV, and GIF for versatile content creation.
SKILL.md
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