An AI-powered compression agent that uses cloud GPU nodes to optimize images and convert them into high-quality web assets or video formats.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install image-compressor-pro-online
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 image-compressor-pro-online using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Image Compressor Pro Online is a professional-grade AI skill designed to eliminate the manual effort of image optimization. By leveraging a remote GPU-based render pipeline, this tool allows users to compress large image files—including JPG, PNG, WebP, and HEIC—simply by describing their requirements in plain English. As a key component of the Openclaw Skills ecosystem, it focuses on high-speed delivery, transforming assets into web-ready files or 1080p MP4 videos without requiring local processing power.
The skill is particularly effective for users who need to balance visual quality with file size constraints. Whether you are a blogger looking to improve page load speeds or a marketer creating high-fidelity visual content, this skill handles the technical complexities of bitrate, resolution, and format conversion automatically through a cloud-based session.
To begin using this skill within the Openclaw Skills framework, you need to ensure your environment is configured for the cloud backend.
# The skill automatically checks for your NEMO_TOKEN.
# If you have a token, export it to your environment:
export NEMO_TOKEN="your_api_token_here"
If no token is found, the skill will automatically generate a UUID client identifier and request an anonymous token from the Nemo API to provide you with 100 free credits for immediate use.
The skill manages media state through a structured session data schema that tracks tracks, segments, and metadata.
| Attribute | Description |
|---|---|
session_id |
Unique identifier for the current cloud processing task. |
t (Tracks) |
Array of media layers including video, audio, and text. |
tt (Track Type) |
Integer mapping (0 for video, 1 for audio, 7 for text overlays). |
sg (Segments) |
Timing data for duration and playback logic in milliseconds. |
m (Metadata) |
File-specific information such as dimensions and original format. |
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