Research Gap Finder

Research Gap Finder & Hypothesis Generator

A specialized skill for identifying research gaps and generating scientifically rigorous hypotheses from academic literature.

Core Capabilities

This skill helps you:

• Identify Research Gaps: Methodological limitations, unexplored variables, theoretical contradictions, technical application gaps, interdisciplinary opportunities
• Generate Testable Hypotheses: Create scientifically valid, innovative, and impactful research hypotheses
• Analyze Literature Depth: From quick scans to comprehensive analysis
• Evaluate Field Progress: Assess the current state and future directions of research domains

Analysis Process

Phase 1: Input Analysis (5-10 minutes)

For Single Papers:

1. Extract Key Information

• Research questions and objectives
• Methodology and experimental design
• Main findings and conclusions
• Acknowledged limitations
• Future work suggestions

1. Identify Explicit Limitations

• Sample size and population constraints
• Methodological boundaries
• Technical limitations
• Scope restrictions

For Multiple Papers:

1. Synthesize Across Studies

• Common methodological approaches
• Recurring limitations across studies
• Contradictory findings
• Temporal evolution of research
• Geographic/cultural variations

Phase 2: Gap Identification (5-10 minutes)

Use these systematic frameworks:

Methodology Gaps

• Measurement limitations (accuracy, precision, validity)
• Sample constraints (size, diversity, representativeness)
• Design limitations (correlation vs. causation, short-term vs. long-term)
• Technical constraints (equipment, computational power, analytical methods)

Theoretical Gaps

• Incomplete theoretical frameworks
• Unexplained phenomena
• Contradictory theoretical predictions
• Missing mediators or moderators
• Over-simplified models

Application Gaps

• Laboratory findings not translated to real-world settings
• Missing population subgroups
• Geographic or cultural limitations
• Scale-up challenges
• Integration with existing systems

Interdisciplinary Gaps

• Opportunities to apply methods from other fields
• Untapped theoretical frameworks from adjacent disciplines
• Cross-domain research opportunities
• Technology transfer possibilities

Phase 3: Hypothesis Generation (5-10 minutes)

For each identified gap, generate hypotheses using this framework:

Hypothesis Structure

Hypothesis: [Clear, testable statement]

Rationale:
- Based on: [Existing evidence + identified gap]
- Novelty: [What makes this innovative]
- Testability: [How it can be experimentally validated]

Quality Assessment:
- Innovation Score (1-5): [Originality and creativity]
- Feasibility Score (1-5): [Practical implementation considerations]
- Impact Score (1-5): [Potential scientific and practical value]
- Overall Priority: [High/Medium/Low]

Hypothesis Quality Criteria

1. Testability (Required)

• Clearly defined variables
• Measurable outcomes
• Achievable experimental design
• Realistic resource requirements

2. Innovation Scoring

• 1 = Incremental improvement on existing work
• 2 = New application of established methods
• 3 = Novel combination of existing approaches
• 4 = Significant methodological or theoretical advance
• 5 = Paradigm-shifting research direction

3. Feasibility Assessment

• Technical feasibility: Available methods and tools
• Resource feasibility: Time, budget, expertise requirements
• Ethical feasibility: IRB approval, safety considerations
• Practical feasibility: Sample access, equipment availability

4. Impact Prediction

• Scientific impact: Contribution to fundamental knowledge
• Practical impact: Real-world applications and benefits
• Societal impact: Potential for positive change
• Field impact: Influence on future research directions

Output Format

Executive Summary (Markdown Report)

# Research Gap Analysis & Hypothesis Generation

## Document Information
- **Input**: [Paper titles or abstract]
- **Analysis Date**: [Date]
- **Analysis Depth**: [Standard/Comprehensive]

## Key Findings Summary
[Brief overview of main gaps and opportunities]

## Detailed Analysis

### 1. Research Gaps Identified
[Methodological, theoretical, application, interdisciplinary gaps]

### 2. Hypotheses Generated
[Ranked list with quality assessments]

### 3. Priority Recommendations
[Top 3-5 most promising research directions]

### 4. Next Steps
[Experimental design suggestions, collaboration opportunities, funding priorities]

Structured Data (JSON)

{
  "analysis_metadata": {
    "input_type": "single_paper|multiple_papers|abstract",
    "analysis_depth": "standard|comprehensive",
    "date": "ISO date",
    "papers_analyzed": ["paper1", "paper2"]
  },
  "research_gaps": [
    {
      "category": "methodological|theoretical|application|interdisciplinary",
      "description": "Gap description",
      "severity": "high|medium|low",
      "evidence_base": ["supporting citations"]
    }
  ],
  "hypotheses": [
    {
      "statement": "Testable hypothesis",
      "rationale": "Scientific justification",
      "quality_assessment": {
        "innovation_score": 1-5,
        "feasibility_score": 1-5,
        "impact_score": 1-5,
        "overall_priority": "high|medium|low"
      },
      "suggested_methodology": "Experimental approach"
    }
  ],
  "priority_rankings": ["hypothesis_ids in priority order"]
}

Usage Guidelines

Standard Analysis Mode (Default)

• Processing time: 15-20 minutes
• Output: 5-10 research gaps, 3-5 prioritized hypotheses
• Depth: Methodological and theoretical gap analysis
• Use for: Literature reviews, grant proposal background, research planning

Comprehensive Analysis Mode (Opt-in)

• Processing time: 30+ minutes
• Output: 10-20 research gaps, 5-10 prioritized hypotheses
• Depth: Includes interdisciplinary gaps and extensive literature synthesis
• Use for: Major grant applications, PhD research planning, lab strategy development

Quick Scan Mode (Opt-in)

• Processing time: 5-10 minutes
• Output: 3-5 major gaps, 2-3 top hypotheses
• Depth: Focus on explicit limitations and obvious gaps
• Use for: Initial literature exploration, meeting preparation

Best Practices

Input Preparation

• For PDFs: Ensure high-quality, readable text
• For multiple papers: Organize by relevance or theme
• For abstracts: Include complete abstracts with key findings

Interpretation Guidelines

• Prioritize hypotheses with high innovation AND feasibility scores
• Look for gaps that appear across multiple papers
• Consider your own expertise and resources when evaluating feasibility
• Validate hypotheses against existing literature before experimental design

Quality Assurance

• All hypotheses must be testable with current or near-future technology
• Innovation scores should be justified with specific reasoning
• Feasibility assessments should consider realistic resource constraints
• Impact predictions should balance scientific and practical value

Advanced Features

Comparative Analysis

When analyzing multiple papers, the skill will:

• Identify convergence and divergence in findings
• Detect methodological trends across studies
• Highlight replication opportunities
• Suggest meta-analysis approaches

Field Evolution Tracking

For temporal analysis:

• Trace how research questions have evolved
• Identify solved vs. persistent problems
• Detect emerging trends and technologies
• Predict future research directions

Interdisciplinary Mapping

• Identify relevant methods from adjacent fields
• Suggest theoretical framework imports
• Highlight technology transfer opportunities
• Propose collaboration opportunities

Limitations and Considerations

Scope Boundaries

• Does not replace expert domain knowledge
• Hypotheses require validation with literature search
• Feasibility assessments are estimates, not guarantees
• Impact predictions are speculative and should be treated as such

Quality Dependencies

• Output quality depends on input paper quality
• Requires accurate PDF text extraction
• Assumes papers report limitations honestly
• May miss gaps requiring specialized domain expertise

Ethical Considerations

• Consider ethical implications of suggested research
• Ensure hypotheses align with responsible research practices
• Evaluate potential societal impacts of research directions
• Consider inclusion and diversity in research design

Troubleshooting

Common Issues

Problem: Too many hypotheses generated Solution: Filter by high feasibility scores and alignment with expertise

Problem: Hypotheses seem too obvious Solution: Request comprehensive analysis mode for deeper insights

Problem: Limited gap identification Solution: Provide more diverse papers or specify particular research aspects

Problem: Feasibility scores seem inaccurate Solution: Provide context about available resources and expertise

Example Workflow

User: "Analyze this paper and find research gaps"

[Skill activation: Standard analysis mode]

1. Extract paper details (methods, findings, limitations)
2. Apply systematic gap identification framework
3. Generate 5-7 hypotheses with quality assessments
4. Produce both markdown report and JSON output
5. Rank by priority and suggest next steps

Output: Comprehensive analysis with prioritized hypotheses

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Remember: This skill augments but does not replace human scientific expertise. Always validate hypotheses with domain experts and extensive literature review before committing significant research resources.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: LengFeng00
• Source: LengFeng00/research-gap-finder
• License: MIT

Install and usage instructions live in the source repository linked above.