A sophisticated AI agent that automates video editing tasks like trimming pauses and adding transitions through a cloud GPU rendering pipeline.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-editing-generator-ai
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install video-editing-generator-ai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Video Editing Generator AI is a powerful tool designed for content creators and marketers who need professional results without the complexity of traditional editing software. By utilizing the Nemo Video API, this skill allows users to transform raw footage into polished, export-ready clips using simple natural language commands. It represents a significant leap for the Openclaw Skills ecosystem, offering high-performance video processing directly through an AI interface.
The skill handles everything from file uploads to complex timeline manipulations and final rendering. Whether you are looking to remove dead air from a screen recording or add stylized transitions and title cards to a vlog, this skill manages the heavy lifting on remote GPU nodes, delivering high-quality 1080p MP4 files in minutes.
To get started with this skill, ensure you have the necessary environment variables configured. Use the following bash commands to set up your environment:
# Set your Nemo API token for full access
export NEMO_TOKEN="your_api_token_here"
# The skill will automatically handle session creation and storage
# in ~/.config/nemovideo/ if a token is present.
The skill organizes video data using a structured timeline draft within the cloud session. Below is how the data is categorized:
| Component | Description | Key Specs |
|---|---|---|
| Session ID | Unique identifier for the current project | UUID String |
| Timeline Draft | JSON representation of tracks and segments | Short-key JSON (t, tt, sg) |
| Track Types | Categorization of media layers | 0: Video, 1: Audio, 7: Text |
| Render Output | Final processed media specification | 1080p, H.264, MP4 |
| Media Support | Accepted input formats | MP4, MOV, AVI, WebM, MP3 |
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