Automate the entire video editing process by turning raw clips into polished 1080p MP4 files using cloud-based AI rendering.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install generation-editor-generator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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).
Get the raw skill files in a ZIP archive.
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.
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.
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.
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