An AI-powered image processing skill that allows users to edit images and export them as professional videos using natural language commands.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-image-editing
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 free-image-editing using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Free Image Editing skill for Openclaw Skills simplifies the process of transforming static images into dynamic video content. By leveraging remote GPU nodes, this skill performs complex operations like background removal, brightness adjustments, and text overlays without requiring any local software installation. It is designed for creators who need quick, high-quality results for social media and marketing without the steep learning curve of traditional editing suites.
This skill integrates directly with the nemovideo.ai backend, providing a seamless bridge between raw image uploads and rendered 1080p MP4 exports. It handles session management, file uploads, and real-time event streaming to ensure a smooth, conversational editing experience.
To get started with this skill within Openclaw Skills, you must configure your environment token:
# Set your Nemo Video token
export NEMO_TOKEN="your_api_token_here"
The skill also utilizes a configuration path at ~/.config/nemovideo/ for session persistence. If no token is provided, the skill will automatically attempt to acquire a free starter token via the anonymous authentication endpoint.
The skill manages a complex internal state represented as a project draft. Data is organized according to the following schema:
| Mapping | Key | Description |
|---|---|---|
| Tracks | t |
An array of media tracks (video, audio, text). |
| Track Type | tt |
0 for Video, 1 for Audio, 7 for Text. |
| Segments | sg |
Individual clips or elements within a track. |
| Duration | d |
The length of the segment in milliseconds. |
| Metadata | m |
Additional properties like file info and transform data. |
All generated media and render job IDs are tracked within the session state, allowing for persistent editing across multiple turns.
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