Editor Generation Generator for Openclaw

A powerful AI video editing skill that automates the transformation of raw footage into polished, edited videos using cloud-based GPU rendering.

tk8544-b
v1.0.0
Apr 28, 2026
0
95
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install editor-generation-generator

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-generation-generator 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 Editor Generation Generator?

The Editor Generation Generator is a professional-grade tool designed for content creators who need to streamline their post-production workflow. By leveraging Openclaw Skills, users can bypass the manual labor of traditional video editing software. The skill interfaces with a high-performance cloud GPU pipeline to handle complex tasks like compositing video layers, applying transitions, and rendering high-quality 1080p MP4 files in just minutes.

This skill is particularly effective for turning unedited screen recordings or raw mobile footage into social-media-ready content. Whether you are adding BGM, text overlays, or smart cuts, the Editor Generation Generator acts as an intelligent bridge between your raw files and a finalized production-ready export.

Editor Generation Generator Use Cases

  • Automatically generating edited videos from raw footage for YouTube, TikTok, or LinkedIn.
  • Converting long, unedited screen recordings into concise, narrated 1080p tutorials.
  • Batch processing multiple source clips into a cohesive project with consistent transitions and titles.
  • Rapidly iterating on video drafts by providing specific text-based instructions for AI-driven edits.

How Editor Generation Generator Works

  1. The user provides raw video footage via direct upload or URL (supports MP4, MOV, AVI, and WebM).
  2. The skill establishes a secure connection to the cloud backend using a NEMO_TOKEN and initializes a project session.
  3. User instructions (e.g., "add transitions and titles") are processed via an SSE (Server-Sent Events) stream to the AI editor.
  4. The cloud GPU node composites the video layers according to the instructions, including audio tracks and text overlays.
  5. A render job is queued, and the skill polls the export status until the high-quality 1080p file is ready for download.

Editor Generation Generator Setup

To get started with this member of the Openclaw Skills family, ensure you have your environment configured:

# Set your API token
export NEMO_TOKEN="your_token_here"

# The skill also looks for configuration in:
# ~/.config/nemovideo/

If you do not have a token, the skill can automatically generate an anonymous identifier to provide 100 free credits for 7 days.

Editor Generation Generator Data Schema & Taxonomy

The skill manages video data through a structured session state and timeline draft system:

Field Description
tracks Organizational layers for video, audio (35% default volume), and text.
track type Classification: 0 for Video, 1 for Audio, 7 for Text overlays.
segments Individual clips defined by start/end timestamps and metadata.
metadata Technical specs including duration (ms) and aspect ratio (up to 1080x1920).

Editor Generation Generator Advanced Features

  • Multi-track timeline management for complex layering of BGM and titles.
  • Intelligent session persistence allowing for iterative editing without re-uploading source files.
  • Automatic skill attribution and platform detection for seamless integration across Cursor or Clawhub.
  • Real-time SSE stream handling with automated GUI-to-API command translation.

SKILL.md


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