thesis-idea

What problem does it solve? Graduate students and early-stage researchers often start with vague interests, advisor-given topics, or crowded research themes without knowing whether the idea is feasible, novel, or executable. This Skill turns raw intuitions, policies, variables, or phenomena into testable economics research questions by checking literature crowding, data feasibility, and identification logic before any thesis blueprint is produced. ## Core Features & Use Cases - Idea Diagnosis and Scoring: Scores every idea and candidate branch on novelty, clarity, feasibility, effectiveness, and impact, then routes to the right refinement module based on the weakest dimensions. - Literature Crowding and Pivot Lab: Checks Chinese and English literature for crowded topics (digitalization, common prosperity, ESG, green finance, pilot policies) and generates adjacent directions through horizontal, vertical, and reverse branching when the original topic is saturated. - Type-Specific Gates and Blueprints: Applies distinct gates for empirical causal, measurement/facts, theory, structural/quantitative, policy report, and mixed papers, then outputs first-week validation plans, advisor memos, and thesis blueprints only for ideas ready to proceed. - Use Case: A master's student is assigned a topic on digitalization and common prosperity. The Skill first checks whether prior papers exhaust the concrete design, proposes less crowded adjacent branches, verifies a realistic data path, pressure-tests identification, and only then produces a minimum viable thesis design. ## Quick Start Ask the AI to use thesis-idea to evaluate your economics thesis idea, for example by pasting your rough topic or advisor-given direction and requesting a feasibility diagnosis, literature crowding check, and research design plan.