Abdulehad

Research Literature Gap-Matrix Analyzer

Detects, classifies, and justifies literature gaps across 9 dimensions using semantic similarity and gap-geometry analysis. Transforms a research question plus 10–50 abstracts into a structured academic report with confidence scores, gap geometry matrix, relationship graph, filling strategies, and publication-ready sentence templates. Step 2-step (Gap Geometry + Deep Analysis) Sub-agent 9 (6 detection + 3 synthesis) Control Point Adaptive — 1 for ≤20 summaries, 2 for >20 summaries Language English Framework components of the skill: The bridge metaphor — the mathematical formulation X ≠ Y but X ≈ Y 4-region gap geometry (Redundancy / Gap Region / Hidden Gap / Irrelevant) 9-sub-agent architecture — Context, Method, Variable, Theory, Time, Finding, Semantic-Gap, Composition-Gap, Dependency-Gap Relationship graph — similar_to, belong_to, compose_with, depend_on Threshold calibration by discipline — social sciences (0.60), engineering (0.70), default (0.65) Set of rules for elements to be included or excluded (5+5) Selection based on confidence score — 70%+ threshold, maximum of 3 gaps Sample text ready for publication — clearly marked as AI-generated Adaptive checkpoint — approval mechanism that adjusts automatically based on the number of summaries