About bracket-predictor
A bracket-analysis skill for March Madness, playoffs, and other tournaments. It structures picks around upset potential, historical trends, matchup reasoning, and confidence levels.
Key features
- 01Upset identification
- 02Chalk and contrarian strategies
- 03Historical trend analysis
- 04Matchup breakdowns
- 05Confidence levels and pick reasoning
Use cases
- 01Create a March Madness bracket
- 02Compare chalk and contrarian picks
- 03Assess tournament matchups
- 04Explain confidence behind selections
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ onewave-ai/ claude-skills --skill bracket-predictorAfter installing, type/bracket-predictorin Claude Code to confirm it loaded.
Details
From the project READMEBracket 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
- Be Specific: Focus on concrete, actionable outputs
- Use Templates: Provide copy-paste ready formats
- Include Examples: Show real-world usage
- Add Context: Explain why recommendations matter
- 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:
- Understand user's context and goals
- Generate comprehensive output
- Provide actionable recommendations
- Include examples and templates
- Suggest next steps
Remember: Focus on delivering value quickly and clearly!