idea-screener

Name: idea-screener
Availability: InStock
Author: willoscar

Score research ideas by discussion value, distinctness, and prior work grounding.

497|38|Updated Jan 7, 2026

Search Tags:#brainstorming #scoring #shortlisting #idea screening #research direction #comparison table

Ready to run

npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill idea-screener

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: idea-screener
Source: https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/idea-screener
Command: npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill idea-screener

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of evaluating a pool of research ideas by providing a structured, discussion-first scoring mechanism, helping to identify the most promising directions for further exploration.

Core Features & Use Cases

Idea Scoring: Assigns scores to research directions based on predefined criteria like advisor usefulness, distinctness, and grounding in prior work.
Comparison Table Generation: Creates a markdown table summarizing the scores and rationale for each idea, facilitating easy comparison.
Use Case: After brainstorming a list of potential research topics, use this Skill to generate a comparative table that highlights which ideas are most distinct and well-supported by existing literature, guiding the selection of a shortlist for deeper discussion.

Quick Start

Run the idea screener script for the brainstorm-llm-agents workspace.

Frequently Asked Questions about idea-screener

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I screen research ideas to build a shortlist for discussion?▼

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.

How does idea scoring work for evaluating brainstormed research directions?▼

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.

What is the best way to compare brainstormed research topics using a markdown table?▼

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.

Can I use idea screening for a large pool of brainstormed research topics?▼

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.

Does idea screening output support JSONL format for downstream research tracking?▼

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.

When should I not use automated idea screening for 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.