A cloud-powered AI video editing skill that automates trimming, enhancing, and exporting raw footage into 1080p MP4 files via simple natural language commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fast-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 fast-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 Fast Video Editing With AI?
Fast Video Editing With AI is a sophisticated integration for AI agents that streamlines the video production lifecycle. By utilizing a powerful cloud rendering pipeline, this Openclaw Skills extension allows users to upload raw footage and describe desired edits—such as removing silences or adding background music—using plain text. The backend handles the heavy lifting of composition and compression, delivering production-ready 1080p content in under a minute.
This skill is built for high-velocity environments where content creators and marketers need to process raw MP4, MOV, or AVI files without opening a traditional NLE. It bridges the gap between raw data and finished media by translating intent into automated timeline actions, ensuring that Openclaw Skills users can maintain a fast-paced creative output.
Fast Video Editing With AI Use Cases
- Automatically trimming pauses and silences from raw screen recordings or talking-head videos.
- Rapidly adding transitions, text overlays, and background music to marketing clips.
- Batch processing multiple video assets in a single session to ensure consistent export settings.
- Generating high-quality 1080p MP4 exports for social media platforms directly from raw files.
How Fast Video Editing With AI Works
- The agent authenticates with the cloud backend using a NEMO_TOKEN or by generating an anonymous session identifier.
- Users upload raw video clips (up to 500MB) which are assigned to a unique session ID.
- Natural language prompts are analyzed to classify intents such as export, status check, or generative editing.
- A Server-Sent Events (SSE) stream is established to process complex editing instructions in real-time.
- The cloud GPU node composites the video layers, applying H.264 compression and 1080p scaling.
- The system provides a final download URL once the render job is completed on the remote server.
Fast Video Editing With AI Setup
To utilize this skill within the Openclaw Skills ecosystem, ensure your environment is configured with the necessary API tokens.
# Set your API token as an environment variable
export NEMO_TOKEN="your_token_here"
# The skill will automatically manage session creation and
# anonymous token fallback if the primary token is missing.
Fast Video Editing With AI Data Schema & Taxonomy
The skill manages a complex internal state representing the video timeline. Below is the mapping for the draft metadata used during processing:
| Key | Definition | Description |
|---|---|---|
| t | Tracks | An array of all media tracks in the project |
| tt | Track Type | 0 = Video, 1 = Audio, 7 = Text |
| sg | Segments | Individual clips or elements within a track |
| d | Duration | Length of the segment in milliseconds |
| m | Metadata | Additional properties like scale, position, or volume |
Fast Video Editing With AI Advanced Features
- Intelligent SSE event handling with automatic heartbeat monitoring to ensure connection stability.
- Automated fallback for anonymous token acquisition when a primary NEMO_TOKEN is not provided.
- Multi-track state management supporting synchronized video, audio, and text layers.
- Real-time credit balance monitoring and session persistence across multiple editing iterations.
- Specific support for platform-optimized H.264 exports via high-performance cloud GPU nodes.
SKILL.md
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