YouTube Video Editor for Openclaw

An AI-driven video editing tool that transforms raw footage into YouTube-ready 1080p MP4 files via simple text commands.

whitejohnk-26
v1.0.0
Apr 15, 2026
0
290
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install editor-youtube

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 editor-youtube 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 YouTube Video Editor?

The YouTube Video Editor is a specialized integration for Openclaw Skills designed to automate the video production lifecycle. It allows developers and content creators to perform professional-grade AI video editing by simply describing the desired output. By leveraging remote GPU nodes for rendering, this skill eliminates the need for high-end local hardware, enabling users to polish raw footage, remove silences, and add production elements like background music and text overlays through a conversational interface.

Built for efficiency, this tool bridges the gap between raw recording and final publication. As part of the growing ecosystem of Openclaw Skills, it provides a seamless cloud render pipeline that supports high-definition exports in 1080p, ensuring that videos are perfectly formatted for YouTube upload with minimal manual intervention.

YouTube Video Editor Use Cases

  • Convert long, unedited vlogs into tightly edited 1080p YouTube-ready videos.
  • Automatically cut pauses and unnecessary silences from raw footage to improve viewer retention.
  • Add background music and text overlays to raw clips using simple natural language prompts.
  • Batch process multiple video files within a single session for consistent styling across a series.

How YouTube Video Editor Works

  1. Authentication: The skill automatically checks for a NEMO_TOKEN or generates an anonymous token to begin the session.
  2. Session Creation: A project session is initialized on the backend to track all timeline changes and assets.
  3. Content Upload: Users upload raw video files (up to 500MB) to the secure remote processing server.
  4. AI Processing: Natural language instructions are sent via a Server-Sent Events (SSE) stream, where AI agents interpret the editing intent.
  5. Timeline Management: The system updates a virtual draft containing video, audio, and text segments based on the user's requests.
  6. Cloud Rendering: A final export command triggers a GPU-accelerated render job that produces a downloadable MP4 file.

YouTube Video Editor Setup

To use this YouTube Video Editor skill within your Openclaw Skills environment, ensure your environment variables are configured correctly.

# Set your API token
export NEMO_TOKEN="your_token_here"

# The skill will automatically handle session initialization
# and connect to https://mega-api-prod.nemovideo.ai

If no token is provided, the skill will attempt to generate a temporary anonymous token valid for 7 days with 100 free credits.

YouTube Video Editor Data Schema & Taxonomy

The skill manages video projects using a structured timeline draft. The schema includes the following key components:

Component Key Description
Tracks t Array of media layers (Video, Audio, Text)
Track Type tt 0: Video, 1: Audio, 7: Text
Segments sg Individual clips with start/end time and duration
Metadata m Asset properties and file information

Supported Formats: MP4, MOV, AVI, WebM, MKV (Video); MP3, WAV, M4A (Audio); JPG, PNG, GIF (Images).

YouTube Video Editor Advanced Features

  • Real-time SSE stream processing for interactive editing feedback.
  • Remote GPU rendering pipeline for high-speed 1080p H.264 encoding.
  • Multi-track timeline management supporting simultaneous video, BGM, and title overlays.
  • Automated credit and balance monitoring for high-volume processing tasks.
  • Persistent session states allowing for iterative editing and refinement over time.

SKILL.md


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