Free Editor Generation for Openclaw

Transform raw video footage into polished 1080p MP4 exports using natural language commands and cloud-based AI rendering.

dsewell-583h0
v1.0.0
Apr 28, 2026
0
299
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install free-editor-generation

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 free-editor-generation 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 Free Editor Generation?

Free Editor Generation is a powerful extension for AI agents within the Openclaw Skills ecosystem, designed to handle end-to-end video post-production. It allows users to upload raw footage and apply complex edits—such as trimming silences, adding text overlays, or mixing background music—simply by describing the desired outcome.

The skill offloads the heavy lifting to remote GPU nodes, ensuring that rendering and composition happen server-side without taxing the local machine. This Openclaw Skills capability is ideal for developers and creators who need a programmatic or agentic way to produce ready-to-post content at scale.

Free Editor Generation Use Cases

  • Automatically removing silences and 'dead air' from screen recordings or vlogs.
  • Batch processing multiple raw clips into a single edited session with consistent styles.
  • Generating quick social media exports in 1080p MP4 format using high-quality cloud rendering.
  • Iteratively refining video drafts through natural language instructions like trim silences, add cuts, and export a clean final video.

How Free Editor Generation Works

  1. The agent establishes a secure connection to the backend using a NEMO_TOKEN or a temporary anonymous identifier.
  2. A project session is initialized to track the state of the timeline and media assets.
  3. Raw video files (up to 500MB) are uploaded to the cloud rendering pipeline.
  4. Editing instructions are sent via a Server-Sent Events (SSE) stream, allowing the AI to modify the project draft in real-time.
  5. Once the edits are applied, a rendering job is queued on a GPU node to composite the final video layers.
  6. The user receives a secure download URL for the finished 1080p MP4 file.

Free Editor Generation Setup

To get started with this skill in the Openclaw Skills framework, ensure you have your environment variables configured.

# Set your API token
export NEMO_TOKEN="your_nemo_token_here"

# If no token is available, the skill will automatically 
# fetch an anonymous token using a UUID client identifier.

The skill requires access to https://mega-api-prod.nemovideo.ai and stores configuration in ~/.config/nemovideo/.

Free Editor Generation Data Schema & Taxonomy

The skill manages video projects using a specific draft mapping within the Openclaw Skills session state:

Key Definition Details
t Tracks Array of media tracks in the timeline
tt Track Type 0: Video, 1: Audio, 7: Text
sg Segments Specific clips or blocks within a track
d Duration Length of segments in milliseconds
m Metadata Additional properties like file names or volume levels

Free Editor Generation Advanced Features

  • Multi-agent support for collaborative video editing workflows.
  • Automatic failover to anonymous tokens to ensure uninterrupted Openclaw Skills service.
  • Real-time heartbeat monitoring during long-running cloud render jobs.
  • Support for iterative timeline adjustments without re-uploading original source files.
  • High-fidelity export options including H.264 compression and 1080p resolution.

SKILL.md


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