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method-gap-detector

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Detects methodological gaps across study design, analysis, validation, bias control, reproducibility, and implementation readiness within a biomedical research area. Use this skill when a user wants to identify what current studies are still methodologically missing, which weaknesses are most consequential, and what upgrade path would produce a stronger next-step study. Always separate design gaps, analysis gaps, validation gaps, and reproducibility gaps. Never treat technical complexity as methodological rigor.

When to use

• identifying methodological weaknesses in a field
• classifying design, analysis, validation, and reproducibility gaps
• ranking consequential methodological shortfalls
• recommending highest-value upgrade paths
• assessing bias control and causal interpretability
• evaluating external validation and transportability

When not to use

• patient-specific treatment advice
• statistical consulting for live unpublished datasets
• fabricating study properties or validation status
• declaring method gaps solved without evidence
• generic limitations summary
• paper-critique for style issues

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