Transforms vague research ideas into differentiated, high-impact research questions using structured academic frameworks and typicality analysis.
This skill serves as a specialized agent for researchers and academics, utilizing the VS-Research 3-phase process to move beyond predictable or 'modal' research questions. By calculating Typicality Scores (T-Scores), it helps users identify obvious paths to avoid and instead proposes innovative, specific, and testable research questions. It automatically structures outputs using established frameworks like PICO(S) for quantitative studies and SPIDER for qualitative research, ensuring that every refined question includes operational definitions, feasibility assessments, and clear theoretical contributions.
主な機能
01VS-Research 3-Phase Process to identify and avoid predictable 'modal' questions
02Integrated creativity mechanisms including Forced Analogy and Semantic Distance
03Typicality Score (T-Score) assessment to measure research novelty and innovation
04Automated PICO(S) and SPIDER framework structuring for rigorous study design
05Feasibility and ethical constraint assessment for proposed research questions
060 GitHub stars
ユースケース
01Drafting the foundational research questions and variables for grant proposals or preregistrations
02Evaluating the academic novelty of a thesis or dissertation topic to ensure a unique contribution
03Refining a broad interest like 'AI in Education' into a specific, publishable research question