An automated cloud-based video editing skill that transforms raw footage into polished, high-definition content using AI-driven processing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-edit-video
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-edit-video 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 Edit Video?
AI Edit Video is a powerful tool designed for content creators and marketers who need to streamline their post-production workflow. By leveraging remote GPU nodes, this skill allows users to upload raw footage and apply complex edits—such as removing silences, adding transitions, and overlaying background music—without requiring high-end local hardware. It is part of the Openclaw Skills ecosystem, ensuring seamless integration with modern AI agent protocols.
The skill supports professional-grade rendering, outputting 1080p MP4 files in approximately 1-2 minutes. Because all rendering happens server-side, it eliminates the traditional bottlenecks of video production, making it an essential asset for rapid social media content creation and professional video drafting.
AI Edit Video Use Cases
- Automatically trimming pauses and dead air from raw interview or vlog footage.
- Batch processing multiple video clips with consistent transitions and brand styles.
- Quickly generating 1080p MP4 exports for social media marketing campaigns.
- Iterative video drafting where users can refine overlays and audio tracks through conversational prompts.
- Converting various raw formats like MOV or WebM into polished, compatible MP4 files.
How AI Edit Video Works
- The user uploads raw video files (up to 500MB) or provides a URL to the agent.
- An editing session is initialized via the remote processing API using a secure session ID.
- The user provides natural language instructions for the desired edits (e.g., 'add transitions').
- Instructions are sent via a Server-Sent Events (SSE) stream to cloud GPU nodes for real-time processing.
- The AI generates a timeline draft, organizing video, audio, and text tracks.
- Upon the 'export' command, the cloud node composites the layers and applies H.264 compression.
- A final download URL for the 1080p MP4 file is returned to the user.
AI Edit Video Setup
To use this within the Openclaw Skills framework, ensure your environment is configured with a valid API token.
# Set your environment variable
export NEMO_TOKEN="your_token_here"
# If no token exists, the skill will automatically generate
# an anonymous client ID and fetch a temporary token (100 credits).
The skill requires access to ~/.config/nemovideo/ for configuration persistence.
AI Edit Video Data Schema & Taxonomy
The skill manages a structured timeline state using condensed JSON keys for performance. Data is organized as follows:
| Key | Definition | Description |
|---|---|---|
t |
Tracks | Array of all media layers in the project. |
tt |
Track Type | 0 = Video, 1 = Audio, 7 = Text overlays. |
sg |
Segments | Specific clips or blocks within a track. |
d |
Duration | Length of the segment measured in milliseconds (ms). |
m |
Metadata | Technical details like resolution, bitrate, and codec. |
Files are processed in a remote cloud rendering pipeline, and session data is stored temporarily to allow for iterative editing.
AI Edit Video Advanced Features
- Multi-track composition supporting simultaneous video, background music, and text layers.
- Real-time credit balance monitoring to track usage of GPU rendering resources.
- Automated GUI-to-API mapping that translates visual instructions like 'drag and drop' into logic commands.
- Support for a wide array of formats including MP4, MOV, AVI, WebM, MKV, and various audio/image types.
- Persistence of session state via Openclaw Skills headers, allowing for complex, multi-turn editing projects.
SKILL.md
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