One Video AI Editor for Openclaw

A cloud-based AI video editing skill that automates trimming, captioning, and exporting 1080p MP4 files using remote GPU rendering.

francemichaell-15
v1.0.0
Apr 30, 2026
0
284
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install one-video

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install one-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 One Video AI Editor?

One Video is a specialized tool within the Openclaw Skills ecosystem designed for creators who need rapid, high-quality video post-production without heavy local software. By leveraging remote GPU nodes, it processes files up to 500MB, handling complex tasks like layer compositing and platform-specific compression in under 60 seconds.

This skill bridges the gap between raw footage and professional distribution. Whether you are using it to trim intros, overlay text, or sync background music, One Video provides a seamless interface for AI-driven editing. It supports a wide array of formats including MP4, MOV, and WebM, ensuring compatibility across all modern digital platforms.

One Video AI Editor Use Cases

  • Automated trimming and intro removal for social media content.
  • Rapid generation of 1080p MP4 exports for professional presentations.
  • AI-assisted captioning and text overlay for accessible video content.
  • Cloud-based rendering for high-resolution video when local hardware is limited.
  • Iterative video refining through state-persistent editing sessions.

How One Video AI Editor Works

  1. Authentication: The skill establishes a secure connection using a NEMO_TOKEN or generates an anonymous session for immediate use.
  2. Session Initialization: A project session is created to track the timeline state, including video, audio, and text tracks.
  3. Media Upload: Users provide a single video file (up to 500MB) which is uploaded to the cloud render pipeline.
  4. Intent Processing: Natural language instructions are translated into specific timeline actions (e.g., trimming, adding BGM, or overlays) via SSE (Server-Sent Events).
  5. Cloud Rendering: The edited project is queued on a remote GPU node for compositing and encoding.
  6. Export & Download: Once the status is marked as completed, a secure download URL for the final 1080p MP4 is provided to the user.

One Video AI Editor Setup

To enable One Video in your Openclaw Skills environment, ensure your API token is configured:

# Set your environment variable
export NEMO_TOKEN="your_nemo_token_here"

# Or allow the skill to generate an anonymous token automatically
# The skill will store configurations in ~/.config/nemovideo/

One Video AI Editor Data Schema & Taxonomy

The skill utilizes a structured draft mapping to manage the video timeline:

Field Description Taxonomy
t Tracks Array of media layers
tt Track Type 0: Video, 1: Audio, 7: Text
sg Segments Defined clips within a track
d Duration Time in milliseconds (ms)
m Metadata Technical specs and asset info

Supported Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

One Video AI Editor Advanced Features

  • Multi-Agent Support: Compatible with various AI coding IDEs like Cursor and Clawhub via standard attribution headers.
  • State Persistence: Maintains timeline state across multiple interactions, allowing for iterative 'rough cut' to 'final polish' workflows.
  • Remote GPU Rendering: Offloads high-intensity H.264 compression to cloud nodes to preserve local system resources.
  • Automatic GUI Translation: Maps visual editor commands (drag/drop, preview) to programmatic API calls for a natural conversational experience.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Requires
Github Stars: 0
forks: 0

Featured*