An AI-powered video upscaling and enhancement skill for professional-grade resolution improvements.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-video-enhancer-openapi-skill
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 ai-video-enhancer-openapi-skill 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 AI Video Enhancer OpenAPI Skill?
The AI Video Enhancer is a specialized tool within the Openclaw Skills ecosystem designed to upscale and improve the visual quality of videos. By leveraging the WeShop OpenAPI, this skill allows AI agents to take low-resolution footage and transform it into high-definition content, supporting target resolutions such as 2K and 4K.
This skill is ideal for developers and creators looking to integrate automated video processing workflows. It provides a structured way to handle video assets, manage execution runs, and poll for completion, making it a cornerstone for multimedia-focused Openclaw Skills.
AI Video Enhancer OpenAPI Skill Use Cases
- Upscaling low-resolution social media clips to 4K for professional use.
- Enhancing historical video footage using AI-driven interpolation and sharpening.
- Automating video quality improvements within a content management pipeline using Openclaw Skills.
- Integrating high-quality video processing into automated marketing or e-commerce workflows.
How AI Video Enhancer OpenAPI Skill Works
- The skill identifies the video input provided by the user or an automated trigger.
- It ensures a valid WESHOP_API_KEY is available in the environment to authenticate with the Openclaw Skills backend.
- A run is initiated via the /openapi/agent/runs endpoint with specified parameters like videoSize (2K or 4K).
- The system polls the execution status through a lifecycle of Pending, Segmenting, and Running.
- Upon reaching the Success state, the enhanced video URL is retrieved from the final execution result.
AI Video Enhancer OpenAPI Skill Setup
To use this Openclaw Skills integration, you must first obtain an API key from the WeShop platform.
# Set your API key as an environment variable
export WESHOP_API_KEY='your_api_key_here'
Ensure your agent has access to the openapi.weshop.ai domain. The skill expects the raw API key in the Authorization header without the Bearer prefix.
AI Video Enhancer OpenAPI Skill Data Schema & Taxonomy
The skill manages data through a structured request-response cycle using the following parameters:
| Field | Type | Description |
|---|---|---|
| input.videos | Array | List of input video URLs to be processed |
| params.videoSize | String | Target output resolution, such as 2K or 4K |
| executionId | String | Unique identifier used for polling status |
| result.video | String | The final URL of the enhanced video asset |
AI Video Enhancer OpenAPI Skill Advanced Features
- Multi-resolution support: Specify target outputs for various formats including high-definition 4K.
- Asynchronous processing: Built-in polling logic allows agents to handle long-running video tasks effectively within the Openclaw Skills framework.
- Asset Management: Includes an endpoint for uploading local images to be converted into reusable URLs for processing.
- Secure Authentication: Direct API key handling ensures secure communication with the WeShop AI engine without exposing keys to unauthorized domains.
SKILL.md
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