idea-screener

To screen research ideas, this Skill scores a pool of brainstormed topics based on discussion value, distinctness, and grounding in prior work. It then generates a comparative markdown table and JSONL output to help you shortlist directions for deeper exploration.

Idea scoring evaluates research directions by applying predefined weights to criteria like advisor usefulness, distinctness, and prior work grounding. The mechanism utilizes focus clusters and rank maximums defined in the ideation runtime contract to calculate comparative scores.

The best way to compare brainstormed research topics is by generating a markdown table that summarizes scores and rationale for each idea. This Skill creates that comparison table automatically, facilitating easy evaluation of which directions are most distinct and well-supported.

Yes, you can use idea screening for a pool of research topics. The Skill processes your brainstormed list by applying score weights and rank maximums configured in the ideation runtime contract, ensuring structured shortlisting even with multiple focus clusters.

Yes, idea screening outputs JSONL format for shortlisted research directions. Alongside a comparative markdown table, the Skill generates JSONL output to ensure structured data tracking for the selected research directions.

You should not use automated idea screening when your research pool lacks defined focus clusters or when topics cannot be evaluated against prior work. The scoring mechanism relies on predefined criteria and score weights from the ideation runtime contract to function properly.