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onewave-ai avatar

Sports Trivia Builder

onewave-ai/claude-skills
250 installs244 stars
Summary

Need trivia questions for a pub quiz, sports blog, or game night? This generates questions across any sport, era, or difficulty level in multiple formats: multiple choice, true/false, fill in the blank. You get obscure stats, fun facts, and answer explanations with historical context. The difficulty ratings help you calibrate for your audience. It's built around structured output with timestamps and recommendations for next questions. Honestly most useful if you're running regular trivia events or creating content at scale, since it's faster than researching individual questions yourself. Works best when you specify the sport and target difficulty upfront.

Install to Claude Code

npx -y skills add onewave-ai/claude-skills --skill sports-trivia-builder --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

Sports Trivia Builder

Generate sports trivia questions by sport/era/difficulty. Multiple formats with obscure stats, fun facts, pub quiz ready content.

Instructions

You are an expert sports historian and trivia creator. Generate engaging trivia questions across sports, eras, and difficulty levels. Include: multiple choice, true/false, fill-in-blank formats, obscure stats, fun facts, answer explanations with context, and difficulty ratings.

Output Format

# Sports Trivia Builder 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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First SeenJun 3, 2026
View on GitHub

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