Video Editor Hiring for Openclaw

A professional AI-powered video editing skill that automates cuts, transitions, and rendering using remote GPU nodes.

linmillsd7
v1.0.0
Apr 23, 2026
0
328
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install video-editor-hiring

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 video-editor-hiring 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 Video Editor Hiring?

The Video Editor Hiring skill is designed to replace the manual effort of post-production by utilizing AI-automated cuts and finishing. As part of the Openclaw Skills library, it allows users to submit raw footage in formats like MP4, MOV, or AVI and receive a polished, 1080p MP4 file in minutes. This skill is specifically optimized for small business owners and content creators who need professional results without local hardware constraints.

By leveraging remote cloud GPUs, this skill handles intensive tasks such as compositing video layers, applying H.264 compression, and managing audio tracks. It provides a seamless way to integrate video production capabilities into any AI agent workflow, ensuring high-quality output through a robust rendering pipeline.

Video Editor Hiring Use Cases

  • Automatically cutting silences and adding transitions to raw interview footage.
  • Batch processing multiple video clips into polished social media content.
  • Generating clean 1080p MP4 final cuts for business presentations from unedited recordings.
  • Adding text overlays and background music to marketing videos using natural language commands.

How Video Editor Hiring Works

  1. Authentication: The skill connects to the backend API using a NEMO_TOKEN or by generating a temporary anonymous token for the user.
  2. Session Creation: A project session is initiated to maintain the state of the video timeline and track media assets.
  3. Media Upload: Raw video files up to 500MB are uploaded to the cloud storage via a multipart request.
  4. Instruction Processing: Natural language prompts are sent through an SSE stream to perform AI-driven edits like silence removal or track layering.
  5. Rendering: The final project draft is queued on a cloud GPU node for high-speed compositing and encoding.
  6. Polling & Delivery: The skill monitors the render status every 30 seconds until a download URL for the finished video is provided.

Video Editor Hiring Setup

To deploy this skill within your Openclaw Skills environment, you need to configure the primary environment variable and ensure directory permissions are set.

# Set the mandatory environment variable
export NEMO_TOKEN="your_nemo_video_api_token"

# Ensure the configuration directory exists
mkdir -p ~/.config/nemovideo/

The skill also supports an anonymous authentication flow if a token is not provided, making it easy to start using the video editor hiring features immediately.

Video Editor Hiring Data Schema & Taxonomy

The skill manages video projects using a structured draft schema that maps directly to the cloud render pipeline. This ensures high precision when using Openclaw Skills for complex editing tasks.

Property Mapping Description
t tracks Array of media tracks
tt track type 0 for Video, 1 for Audio, 7 for Text
sg segments Individual clip segments within a track
d duration Total duration in milliseconds
m metadata Media properties and technical specs

Video Editor Hiring Advanced Features

  • Support for multiple video formats including MP4, WebM, and AVI up to 500MB.
  • Real-time session state polling to recover and summarize changes if a stream is interrupted.
  • Automated intent classification for commands like export, credits, and status updates.
  • Platform-specific H.264 compression optimized for 1080x1920 mobile or 1920x1080 desktop resolutions.
  • Multi-track timeline support allowing simultaneous management of video, BGM, and text layers.

SKILL.md


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