Verified:GitHub

bet-edge-analyzer

Analyze betting data to identify profitable edges via natural language queries.

Updated Aug 23, 2026

Search Tags:#AI assistant #natural language #recommendations #data-driven decisions #sports betting #edge detection #betting analysis

One-click install

npx skills add https://github.com/VatoCodes/Bet-That_Proof-of-Concept --skill bet-edge-analyzer

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: bet-edge-analyzer
Source: https://github.com/VatoCodes/Bet-That_Proof-of-Concept/tree/main/.claude/skills/bet-edge-analyzer
Command: npx skills add https://github.com/VatoCodes/Bet-That_Proof-of-Concept --skill bet-edge-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill transforms complex betting analysis into a simple, conversational experience, allowing you to quickly identify profitable betting opportunities (edges) using natural language. It eliminates manual data crunching and provides personalized recommendations, helping you make smarter, data-driven bets.

Core Features & Use Cases

Natural Language Queries: Ask questions like "Find edges for Chiefs in week 7" and get instant, intelligent analysis.
Conversational Refinement: Iteratively adjust parameters (e.g., "Increase minimum edge to 20%") to fine-tune your analysis.
Personalized Recommendations: Receives actionable betting recommendations based on your preferences and bankroll.
Use Case: Before placing a bet, simply ask the AI to "Find the best QB TD props for this week with high confidence." The Skill will analyze the data, present the top opportunities, and even suggest optimal bet sizes.

Quick Start

Find edges for week 7 with at least 15% advantage using the v2 model.