A specialized AI tool designed to upscale existing HTTPS videos to higher resolutions using the WeryAI API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-tool-upscaler
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install video-tool-upscaler 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 WeryAI Video Upscaler?
The WeryAI Video Upscaler is a dedicated tool within the Openclaw Skills ecosystem designed specifically for enhancing the visual fidelity of existing video content. Unlike generative AI that creates video from text, this skill focuses strictly on the upscaling workflow, taking a public HTTPS URL and processing it to output higher resolutions such as 1080p, 2K, or 4K.
Built for developers and automation workflows, this skill is self-contained and security-focused. It operates via a Node.js runtime and requires minimal configuration, making it an ideal choice for integrating professional-grade video enhancement into larger AI agent pipelines or manual CLI workflows.
WeryAI Video Upscaler Use Cases
- Enhancing low-resolution legacy video content for modern display standards.
- Automating quality improvements for video assets hosted on public cloud storage.
- Integrating high-fidelity video processing into AI agent workflows using Openclaw Skills.
- Preparing social media or marketing content by upscaling to 4K resolution.
How WeryAI Video Upscaler Works
- The user provides a public HTTPS URL of the video to be processed.
- The skill validates the input parameters and checks for a valid WERYAI_API_KEY.
- A request is sent to the WeryAI API to initiate the upscaling task with the specified resolution (defaulting to 1080p).
- The tool either polls for completion (using the wait command) or returns a task ID for asynchronous tracking.
- Upon completion, the skill provides a Markdown-formatted link to the upscaled video file.
WeryAI Video Upscaler Setup
To use this component of Openclaw Skills, ensure you have Node.js 18+ installed and a valid API key from WeryAI.
- Set your environment variable:
export WERYAI_API_KEY='your_api_key_here'
- Navigate to the skill root and verify the tool schema:
node scripts/video_upscaler.js spec
WeryAI Video Upscaler Data Schema & Taxonomy
The skill utilizes a strict JSON-based schema for inputs and tracking. Below are the primary fields and metadata taxonomy:
| Field | Type | Description | Required |
|---|---|---|---|
video_url |
String | A public https:// URL of the source video. |
Yes |
resolution |
String | Target output: 1080p, 2k, or 4k. |
No (Default: 1080p) |
task_id |
String | Unique identifier for tracking asynchronous jobs. | Yes (for status checks) |
Note: This skill does not read local files and performs no disk-write operations for source media.
WeryAI Video Upscaler Advanced Features
- Dry-run Mode: Validate your JSON payload and API connection without consuming credits or triggering a paid run.
- Asynchronous Submission: Use the submit command to trigger multiple concurrent upscaling tasks and retrieve a task_id for later polling.
- Status Tracking: Granular status checks to monitor the progress of long-running 4K upscaling jobs.
- Integration Ready: Designed as a modular piece of Openclaw Skills, allowing it to be called by other AI agents or scripts.
SKILL.md
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