What problem does it solve? Academic writing in Architecture, Engineering & Construction often suffers from imprecise terminology, fragmented vocabulary across subfields, and overstated claims about technologies like digital twins and AI. This Skill grounds research outputs in the actual landscape of AEC scholarship so papers, literature reviews, and gap analyses use field-credible language. ## Core Features & Use Cases - Subfield taxonomy: Covers 14 AEC research domains including BIM, building performance, construction management, generative design, structural engineering, LCA, digital twins, robotics, computer vision, reality capture, safety, MEP, offsite construction, and immersive tech. - Keyword harvesting: Provides synonyms and canonical terms per subfield for building literature search strings, since AEC terminology is fragmented. - Gap identification: Maps cross-subfield intersection zones (e.g., BIM × LCA, computer vision × safety) where novel research concentrates, plus standing cautions about hype and weak validation. - Use Case: When drafting a literature review on digital twins for construction safety monitoring, use this Skill to classify the topic, gather search keywords, and position the study at the computer vision × safety intersection. ## Quick Start Classify my research topic on 3D concrete printing for structural applications and suggest keywords and related subfields for a literature search.
