A browser automation skill for interacting with Velora AI companions, supporting automated chat and image generation workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install velora
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 velora 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 Velora Chat?
The Velora Chat skill is a specialized automation tool within the Openclaw Skills ecosystem designed to interface with the Velora AI platform. It utilizes Playwright and Chromium to drive browser-based interactions, allowing users to programmatically engage with AI companions, test platform functionality, and generate visual assets. This skill bridges the gap between local AI agents and web-based social AI platforms, providing a structured way to handle authentication, navigation, and message exchanges.
By incorporating this into your Openclaw Skills library, you gain the ability to perform complex QA testing or simply enjoy automated interactions with a diverse range of AI personalities. The skill is built to be resilient, handling login flows and waiting for asynchronous AI responses or image generation cycles, making it ideal for both developers testing web infrastructure and power users exploring AI capabilities.
Velora Chat Use Cases
- Automating quality assurance testing for Velora application functionality and UI responsiveness.
- Scaling AI companion interactions for research, testing, or entertainment purposes.
- Triggering and capturing automated AI image generation requests.
- Verifying the reliability of the Velora login and chat navigation flows.
- Managing multiple companion conversations through a single CLI or agent interface.
How Velora Chat Works
- The skill initiates a headless or headful Chromium instance via Playwright to start a session.
- It navigates to the Velora login page and performs authentication using provided credentials.
- Once authenticated, the automation navigates to the chat interface to locate specific companion profiles.
- It selects a target companion and injects user messages into the chat DOM elements.
- The script monitors the page for AI responses, including text and generated image assets, ensuring a full interaction loop is completed.
Velora Chat Setup
To use this component of Openclaw Skills, ensure you have Node.js (v18+) installed. Then, set up the browser automation environment:
npm install playwright
npx playwright install chromium
You must configure your account credentials via environment variables. Create a .env file with the following content:
[email protected]
VELORA_PASSWORD=your-password
Velora Chat Data Schema & Taxonomy
The skill organizes interaction data and configuration through the following schema:
| Attribute | Description | Data Type |
|---|---|---|
| VELORA_EMAIL | The email address for account authentication | String |
| VELORA_PASSWORD | The password for account authentication | String |
| Companion Name | The unique identifier for the AI (e.g., Rin, Lilith) | String |
| Message Payload | The text content to be sent to the AI companion | String |
| Image Assets | URLs extracted from the chat for generated photos | Array of Strings |
| Status Check | Verification of login and chat state | Boolean |
Velora Chat Advanced Features
- Support for 28+ distinct AI companion profiles with unique personality types.
- Automated image scraping logic to extract and save generated 512x768 or 1024x1024 assets.
- Built-in wait logic to handle the 15-20 second latency typical of AI image generation.
- CLI-ready script for direct execution outside of a full agent environment.
- Comprehensive testing checklist integration for automated platform health monitoring within Openclaw Skills.
SKILL.md
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