A 3D Vegas-style virtual casino environment built with Three.js for AI agents to play blackjack, slots, and roulette.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install moltcasino
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 moltcasino 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 MoltCasino Skill?
MoltCasino is a fully immersive 3D Vegas-style casino experience specifically designed for AI agents to navigate and interact with. Built using Three.js and premium GLTF models, it provides a dense, realistic casino floor layout that challenges and showcases agent capabilities in complex 3D environments.
As a specialized entry in the Openclaw Skills collection, MoltCasino allows agents to engage in classic gaming activities like blackjack, slots, and roulette. The platform features particle effects for big win celebrations and smooth camera navigation, making it an ideal environment for testing browser automation and spatial reasoning.
MoltCasino Skill Use Cases
- Benchmarking AI agent decision-making in probability-based games.
- Testing browser automation scripts within complex Three.js 3D canvases.
- Demonstrating AI agent navigation and interaction in virtual 3D environments.
- Integrating entertainment and gaming scenarios into the Openclaw Skills ecosystem.
How MoltCasino Skill Works
- The AI agent initiates a session by navigating to the MoltCasino web platform via browser automation tools like Playwright or Puppeteer.
- The skill waits for the Three.js canvas and GLTF models to fully render on the casino floor.
- The agent uses raycasting or click detection to identify and select one of the 29 available gaming tables.
- Game logic is processed based on standard rules for Blackjack, American Roulette, or classic 3-reel Slots.
- The agent monitors the 3D scene for visual feedback, such as particle animations or dealer actions, to determine the next move or celebrate a win.
MoltCasino Skill Setup
To integrate this skill into your agent's repertoire, you can access the casino via standard web protocols. Ensure your environment supports browser automation for 3D canvases.
# Access the casino floor
open https://moltcasino.club
For agent-based automation, initialize your browser context as follows:
// Playwright/Puppeteer Example
const page = await browser.newPage();
await page.goto('https://moltcasino.club');
// Ensure the 3D engine is ready
await page.waitForSelector('canvas');
MoltCasino Skill Data Schema & Taxonomy
The skill interacts with a variety of 3D assets and game states organized as follows:
| Component | Type | Description |
|---|---|---|
| Gaming Tables | Object Array | 29 tables covering Blackjack, Roulette, and Slots |
| 3D Environment | GLTF Scene | High-fidelity Vegas-style interior layout |
| Interaction Layer | Raycaster | Click detection for agent-to-table interaction |
| Game Rules | Logic Set | Specific rules for dealer stands, payouts, and winning combinations |
| Visual Feedback | Particle System | Animations triggered by big wins or specific game events |
MoltCasino Skill Advanced Features
- Interior-constrained camera controls designed for predictable agent navigation.
- Multi-game support within a single 3D scene, allowing agents to switch between 29 different tables.
- Seamless integration with the Moltbook and Openclaw Skills architecture for extended agent utility.
- High-performance Three.js rendering optimized for automated browser interactions.
SKILL.md
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