An AI-powered advisory engine providing intelligent bet recommendations, risk analysis, and bankroll management for gaming platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawde
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 clawde 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 CLAW Betting AI Advisory?
CLAW Betting AI Advisory is a technical toolkit designed for developers and strategists looking to apply data science to gaming environments. By utilizing Openclaw Skills, this system analyzes historical data patterns to offer intelligent recommendations for popular casino-style games such as Crash, Dice, and Limbo. It bridges the gap between raw probability and actionable strategy by providing a structured framework for risk assessment.
This skill serves as a foundational layer for building automated betting bots or research tools. It emphasizes long-term sustainability through proven mathematical models like the Kelly Criterion and Fibonacci strategies, ensuring that users can optimize their approach based on specific risk tolerances and historical multiplier trends.
CLAW Betting AI Advisory Use Cases
- Building automated betting bots for platforms like Stake.com.
- Conducting historical pattern analysis for crash games to identify multiplier trends.
- Implementing dynamic bankroll protection and automated stop-loss mechanisms.
- Detecting emotional betting patterns through integrated tilt detection algorithms.
How CLAW Betting AI Advisory Works
- The user installs the skill and configures their bankroll and risk strategy parameters in the local configuration files.
- Historical game data is fed into the analyze.py script to identify recent patterns and crash points.
- The recommendation engine processes the data alongside the user's selected strategy (Conservative, Balanced, or Aggressive).
- The system outputs a structured recommendation object containing the suggested bet amount, target multiplier, and a confidence score.
- Safety features continuously monitor the session to enforce stop-loss limits and profit-locking thresholds.
CLAW Betting AI Advisory Setup
To get started with this skill, install it via the hub and set up your local configuration:
# Install the skill
clawhub install claw-betting-ai
# Create a local configuration file
cp config/default.json config/local.json
After copying the configuration, edit config/local.json to define your bankroll, base bet percentage, and preferred strategy.
CLAW Betting AI Advisory Data Schema & Taxonomy
The skill organizes its logic and configuration through a clear directory structure and specific JSON schemas:
| Component | Description |
|---|---|
config/default.json |
Master configuration for strategies, bankroll, and limits. |
scripts/analyze.py |
Python logic for historical crashpoint and pattern analysis. |
scripts/recommend.py |
The core engine returning bet recommendations and confidence levels. |
examples/ |
Contains Markdown documentation for API integration and strategy definitions. |
recommendation object |
JSON output including shouldBet, amount, target, and confidence. |
CLAW Betting AI Advisory Advanced Features
- Support for multiple mathematical betting models including Martingale, Anti-Martingale, and D'Alembert.
- Intelligent tilt detection to alert users when betting patterns indicate emotional or irrational decision-making.
- Dynamic profit locking that automatically protects a portion of winnings once targets are met.
- Multi-game analysis support covering Crash, Dice, Limbo, and Slide patterns using Openclaw Skills.
SKILL.md
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