research-question

This Skill refines broad topics into specific research questions by generating candidates and scoring them against a fixed rubric. It revises the weakest aspects of promising questions until they are novel and feasible for empirical investigation.

A good research question must be Specific, Answerable, Novel, Feasible, and Significant. This Skill applies this exact rubric to score drafted questions and performs a light novelty check against literature to ensure quality.

To check if your research question is novel, this Skill performs a light novelty check against existing literature and web sources. It scores question novelty and revises topics to ensure original investigation.

Yes, you need Python installed to use this Skill for generating and scoring research questions. Python executes the underlying scripts required for rubric scoring and literature access during the novelty check.

The best way to refine vague topics into feasible research questions is using a structured rubric and novelty check. This Skill generates drafts, scores them for feasibility and specificity, and iteratively revises weak aspects.

Your drafted research question fails rubric scoring if it lacks specificity, answerability, novelty, feasibility, or significance. The Skill identifies the weakest aspect and iteratively revises the question until it meets all criteria.