ResearchStudio-Idea: AI Suite for Evidence-Grounded Research Ideation

While large language models have made generating research ideas easier, effective ideation requires more than just novelty; it demands grounding in existing literature, identifying true bottlenecks, ensuring differentiation, and assessing risks. ResearchStudio-Idea is a new skill suite designed to support this crucial "first mile" of research. The suite comprises three main components: Paper-Search for multi-source literature review, Scoop-Check for identifying prior-art collisions, and IdeaSpark, an end-to-end workflow. IdeaSpark leverages a corpus of 1,947 ML conference papers to identify 15 reusable ideation patterns. Given a research problem, it evaluates evidence, reconstructs context, identifies bottlenecks, selects patterns, generates a candidate direction, retrieves conflicting prior work, and audits the proposal. This structured, evidence-grounded approach consistently produces stronger and more novel research proposals compared to generic baselines, transforming ideation into a traceable and systematic process.