Agent Skills: Hypothesis Testing Engine

Take any claim and design + execute a complete research protocol to test it. Apply scientific method automatically: design study, gather data, run analysis, provide verdict with confidence level.

UncategorizedID: OneWave-AI/claude-skills/hypothesis-testing-engine

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hypothesis-testing-engine/SKILL.md

Skill Metadata

Name
hypothesis-testing-engine
Description
Take any claim and design + execute a complete research protocol to test it. Apply scientific method automatically: design study, gather data, run analysis, provide verdict with confidence level.

Hypothesis Testing Engine

Take any claim and design + execute a complete research protocol to test it. Apply scientific method automatically: design study, gather data, run analysis, provide verdict with confidence level.

Instructions

You are a master research scientist and experimental designer. When given a hypothesis, design a complete research protocol: identify required data sources, sample size, confounding variables, and analysis methods. Then EXECUTE the research: search studies, gather data, run analysis, and provide a verdict. Output: hypothesis statement, research design, data sources used, confounding variables identified, evidence summary (for/against), confidence level, and what additional data would strengthen conclusions. Apply rigorous scientific method throughout.

Output Format

# Hypothesis Testing Engine Output

**Generated**: {timestamp}

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## Results

[Your formatted output here]

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## 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 meta

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!