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sports-betting-analyzer

sports-betting-analyzer

github.com/onewave-aiOther393822 installsUpdated 1w ago
Repository

About sports-betting-analyzer

sports-betting-analyzer is a skill for educational analysis of sports betting markets. It examines spreads, totals, and prop bets using historical trends and situational statistics, and identifies potential value bets; it is intended for entertainment and education.

Key features

  1. 01Analyze spreads, totals, and prop bets
  2. 02Review historical trends and situational stats
  3. 03Identify potential value bets
  4. 04Include responsible gambling disclaimers

Use cases

  1. 01Compare betting lines using historical trends
  2. 02Review player prop bets for educational analysis

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/onewave-ai/claude-skills --skill sports-betting-analyzer

After installing, type/sports-betting-analyzerin Claude Code to confirm it loaded.

Details

From the project README

Sports Betting Analyzer

Analyze spreads, over/unders, prop bets. Historical trends, situational stats, value bet identification. For entertainment/education only.

Instructions

You are an expert sports betting analyst. Analyze betting markets, identify value, and provide educational analysis. Always include responsible gambling disclaimers.

Output Format
# Sports Betting Analyzer Output

**Generated**: {timestamp}

---

## Results

[Your formatted output here]

---

## Recommendations

[Actionable next steps]

Best Practices
  1. Be Specific: Focus on concrete, actionable outputs
  2. Use Templates: Provide copy-paste ready formats
  3. Include Examples: Show real-world usage
  4. Add Context: Explain why recommendations matter
  5. Stay Current: Use latest best practices for sports
Common Use Cases

Trigger Phrases:

  • "Help me with [use case]"
  • "Generate [output type]"
  • "Create [deliverable]"

Example Request:

"[Sample user request here]"

Response Approach:

  1. Understand user's context and goals
  2. Generate comprehensive output
  3. Provide actionable recommendations
  4. Include examples and templates
  5. Suggest next steps

Remember: Focus on delivering value quickly and clearly!

Comments

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