Generation Editor Generator for Openclaw

Automate the entire video editing process by turning raw clips into polished 1080p MP4 files using cloud-based AI rendering.

dsewell-583h0
v1.0.0
Apr 28, 2026
0
278
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install generation-editor-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 generation-editor-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 Generation Editor Generator?

The Generation Editor Generator is a robust AI-driven tool designed for users who want to generate edited videos from raw clips automatically. Part of the broader ecosystem of Openclaw Skills, this tool leverages cloud GPU pipelines to handle the heavy lifting of video composition, including transitions, text overlays, and audio syncing. It allows developers and creators to transform raw footage into production-ready content using simple text commands or structured prompts.

Generation Editor Generator Use Cases

  • Quickly generate a edited video with transitions and background music from my clips without manual timeline editing.
  • Automating the creation of social media content by batch-processing screen recordings or raw camera footage.
  • Iterative video design where users refine edits through sequential text instructions.
  • Content creators needing high-quality 1080p MP4 exports for professional distribution.

How Generation Editor Generator Works

  1. The skill initializes by verifying a NEMO_TOKEN to authenticate with the Openclaw Skills processing backend.
  2. Users upload media files up to 500MB, which are then associated with a specific project session ID.
  3. Commands are processed via a Server-Sent Events (SSE) stream, allowing the AI to interpret intent and modify the video timeline in real-time.
  4. The backend maintains a complex draft state that tracks video, audio, and text segments.
  5. A final render request is sent to a cloud GPU node, which composites the layers and provides a download URL for the finished 1080p file.

Generation Editor Generator Setup

To get started with this skill, you must ensure your environment is configured to communicate with the cloud rendering API. Use the following bash commands to set up your environment variables:

# Set your API token for the rendering backend
export NEMO_TOKEN="your_nemo_token_here"

# The skill will automatically handle session creation
# and token validation upon its first execution.

If a token is not provided, the skill will attempt to generate a temporary anonymous token to allow for immediate testing with a set of free credits.

Generation Editor Generator Data Schema & Taxonomy

The Generation Editor Generator organizes session data using a specific schema to track assets and timeline changes. The following table outlines the primary data structures used within Openclaw Skills for this purpose:

Key Type Description
session_id String The unique identifier for the current video project.
draft JSON Contains tracks (t), track types (tt), and segments (sg) defining the timeline.
video_infos Object Stores metadata for all uploaded source files.
generated_media Array Lists of assets created during the AI generation process.

Timeline tracks are categorized by type: 0 for video, 1 for audio, and 7 for text overlays.

Generation Editor Generator Advanced Features

  • Real-time timeline state polling to ensure synchronization between AI edits and local project views.
  • Support for a wide variety of media containers including MP4, MOV, AVI, WebM, and MKV.
  • Automated background music integration with adjustable volume and ducking levels.
  • Intelligent transition insertion based on scene detection and user descriptions.
  • Persistent session management allowing users to close their interface and return to an active rendering job.

SKILL.md


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