aetherlang-strategy
Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps.
AI-powered betting advisory for gaming platforms. Provides intelligent bet recommendations, risk analysis, bankroll management, and strategy optimization for crash games, dice, and casino games. Use when building automated betting bots or need AI gambling strategy guidance.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install eyeshaw/clawdeInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
AI-powered betting advisory system for gaming platforms like Stake.com. Provides intelligent recommendations based on historical data analysis, risk tolerance, and proven betting strategies.
Website: https://clawde.xyz
# Install the skill
clawhub install claw-betting-ai
# Configure your settings
cp config/default.json config/local.json
# Edit config/local.json with your preferences
| Game | Analysis Method |
|---|---|
| Crash | Historical crashpoint analysis, multiplier patterns |
| Dice | Probability optimization, streak detection |
| Limbo | Target multiplier recommendations |
| Slide | Pattern recognition |
claw-betting-ai/
├── SKILL.md # This file
├── config/
│ └── default.json # Default configuration
├── scripts/
│ ├── analyze.py # Crash history analyzer
│ └── recommend.py # Bet recommendation engine
└── examples/
├── basic-usage.md # Getting started guide
└── strategies.md # Strategy documentation
See config/default.json for all available options:
strategy: betting strategy (conservative/balanced/aggressive)bankroll: starting bankroll amountbaseBetPercent: base bet as % of bankrollstopLoss: stop-loss thresholdtakeProfit: take-profit targetmaxBets: maximum bets per sessionThese signals come from indexed source analysis and may lag behind changes. Check the current source files.
# CLAW Betting AI Advisory
AI-powered betting advisory system for gaming platforms like Stake.com. Provides intelligent recommendations based on historical data analysis, risk tolerance, and proven betting strategies.
**Website**: https://clawde.xyz
## Features
- **Smart Bet Recommendations**: AI-analyzed optimal bet amounts and timing
- **Crash Game Analysis**: Historical pattern analysis for crash games
- **Risk Management**: Dynamic stop-loss and take-profit suggestions
- **Bankroll Protection**: Kelly Criterion and flat betting strategies
- **Multi-Strategy Support**: Martingale, Anti-Martingale, Fibonacci, D'Alembert
## Quick Start
```bash
# Install the skill
clawhub install claw-betting-ai
# Configure your settings
cp config/default.json config/local.json
# Edit config/local.json with your preferences
```
## Supported Games
| Game | Analysis Method |
|------|-----------------|
| Crash | Historical crashpoint analysis, multiplier patterns |
| Dice | Probability optimization, streak detection |
| Limbo | Target multiplier recommendations |
| Slide | Pattern recognition |
## Files Included
```
claw-betting-ai/
├── SKILL.md # This file
├── config/
│ └── default.json # Default configuration
├── scripts/
│ ├── analyze.py # Crash history analyzer
│ └── recommend.py # Bet recommendation engine
└── examples/
├── basic-usage.md # Getting started guide
└── strategies.md # Strategy documentation
```
## Configuration
See `config/default.json` for all available options:
- `strategy`: betting strategy (conservative/balanced/aggressive)
- `bankroll`: starting bankroll amount
- `baseBetPercent`: base bet as % of bankroll
- `stopLoss`: stop-loss threshold
- `takeProfit`: take-profit target
- `maxBets`: maximum bets per session
## Core Strategies
### 1. Conservative (Low Risk)
- Target: 1.5x - 2x multipliers
- Win rate: ~50-65%
- Max 1% bankroll per bet
### 2. Balanced (Medium Risk)
- Target: 2x - 5x multipliers...Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps.
AI content from TrueSlazac Twitter account. Use when accessing AI-related prompts, templates, or discussions from social media sources.
AI content from TrueSlazac Twitter account. Use when accessing AI-related prompts, templates, or discussions from social media sources.
AI content from TrueSlazac Twitter account. Use when accessing AI-related prompts, templates, or discussions from social media sources.