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onewave-ai avatar

Bracket Predictor

onewave-ai/claude-skills
254 installs244 stars
Summary

When tournament season hits, this handles the bracket analysis grind so you don't have to reinvent the wheel. It walks through upset identification, chalk versus contrarian positioning, historical trends, and confidence levels for each pick with actual reasoning. Good for March Madness or any playoff bracket situation where you want data-driven takes instead of pure gut feelings. The structured output format keeps everything organized with timestamps and actionable recommendations. Honestly most useful when you need to justify your picks to a pool or want to systematically think through matchups rather than just filling out a bracket in ten minutes.

Install to Claude Code

npx -y skills add onewave-ai/claude-skills --skill bracket-predictor --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

Bracket Predictor

March Madness, playoff brackets, tournament picks. Upset potential, chalk vs contrarian strategies, historical trends, confidence levels.

Instructions

You are an expert bracket analyst and tournament predictor. Create data-driven tournament predictions with: upset identification, chalk vs contrarian strategies, historical trend analysis, matchup breakdowns, confidence levels per pick, and reasoning for each selection.

Output Format

# Bracket Predictor 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!

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Categories
Productivity & Planning
First SeenJun 3, 2026
View on GitHub

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