Rechercher

PythonReactSEOPDF
OpenClaw

claw-betting-ai

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.

eyeshaw0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install eyeshaw/clawde

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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

# 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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/eyeshaw/clawde
Version
—
Commit
d7f491be6588ac7b7a11a55d82ada575c8f0d9be
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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...

Skills associés

OpenClaw

aetherlang-strategy

contrario

Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps.

OpenClaw

ai-from-trueslazac

hhhh124hhhh

AI content from TrueSlazac Twitter account. Use when accessing AI-related prompts, templates, or discussions from social media sources.

OpenClaw

ai-from-trueslazac

hhhh124hhhh

AI content from TrueSlazac Twitter account. Use when accessing AI-related prompts, templates, or discussions from social media sources.

OpenClaw

ai-from-trueslazac

hhhh124hhhh

AI content from TrueSlazac Twitter account. Use when accessing AI-related prompts, templates, or discussions from social media sources.