paper-hypothesis

name	paper-hypothesis
description	Use when generating research hypotheses, designing experiments, or evaluating hypothesis feasibility

Paper Hypothesis

Generate and validate research hypotheses based on identified research gaps.

Hypothesis Generation Framework

1. Gap Analysis

Based on literature review output, identify:

• What problem remains unsolved
• Why current approaches fail
• What new angle can be explored

2. Hypothesis Structure

H1: [Independent variable] affects [dependent variable] because [mechanism]

Example:
H1: Using larger context windows improves reasoning performance 
    in LLM benchmarks because longer contexts provide more 
    contextual information for inference.

3. Feasibility Assessment

• Data availability: Can you obtain necessary data?
• Method feasibility: Can you implement the approach?
• Resource requirements: Time, compute, tools needed
• Validation path: How will you prove/disprove the hypothesis?

Experiment Design

Component	Description
Control	Baseline method to compare against
Treatment	Your proposed approach
Metrics	How to measure success
Statistics	Test selection, significance level

Output Format

{
  "hypotheses": [
    {
      "id": "H1",
      "statement": "...",
      "variables": {"independent": "...", "dependent": "..."},
      "feasibility": {"data": "available", "method": "feasible"},
      "experiment_design": {...}
    }
  ],
  "recommended_experiments": ["exp1", "exp2"],
  "potential_challenges": ["challenge1", "challenge2"]
}

Tips

• Start with one clear hypothesis, add secondary ones later
• Make hypotheses falsifiable (provable wrong)
• Consider both positive and negative results as publishable
• Use brainstorming skill for idea exploration |- Use brainstorming skill for idea exploration

Scripts

scripts/hypothesis-generator.py: Generate hypotheses, assess feasibility, design experiments