a1

Refine research ideas into differentiated research questions using Verbalized Sampling and PICO(S) or SPIDER frameworks.

5|2|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/HosungYou/Diverga --skill a1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: a1
Source: https://github.com/HosungYou/Diverga/tree/main/skills/a1
Command: npx skills add https://github.com/HosungYou/Diverga --skill a1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill transforms vague research ideas into clear, testable, and innovative research questions, preventing common pitfalls like mode collapse and overly predictable outcomes.

Core Features & Use Cases

  • Modal Question Avoidance: Identifies and steers away from generic or "obvious" research questions.
  • Differentiated Question Generation: Proposes alternative research questions across different levels of innovation (safe, differentiated, innovative).
  • Framework Application: Structures questions using PICO(S) and SPIDER frameworks.
  • Use Case: You have a broad research topic like "AI in education" and need to formulate a specific, impactful research question for a grant proposal. This Skill will help you move from "What is the effect of AI on learning?" to a more nuanced question like "What are the paradoxical effects of emotional responses to AI feedback on learning persistence: negative impact of positive feedback?"

Quick Start

Use the a1 skill to refine my research idea about using AI for personalized learning.

Frequently Asked Questions about a1

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

FAQPage Schema
How do I refine a vague research idea into a specific research question?

To refine a research idea, apply an enhanced Verbalized Sampling process that generates alternative questions across T-Score directions—safe, differentiated, and innovative—while structuring the final output using PICO(S) and SPIDER frameworks.

What is mode collapse in research question formulation?

Mode collapse in research question formulation occurs when the refinement process converges on generic, highly predictable, or obvious questions, which this approach avoids by generating differentiated alternatives across varying T-Score innovation levels.

How do I use PICO and SPIDER frameworks to structure a research question?

PICO and SPIDER frameworks structure research questions by systematically defining population, intervention, comparison, and outcome elements for quantitative studies, or sampling, phenomenon of interest, design, evaluation, and research type for qualitative studies.

Can I generate differentiated research questions for a grant proposal?

Yes, you can generate differentiated research questions for a grant proposal by using the enhanced Verbalized Sampling 3-Phase process, which produces alternative questions across safe, differentiated, and innovative T-Score directions to maximize impact.

Why does my research question formulation output overly predictable results?

Research question formulation outputs overly predictable results due to modal question collapse, a pitfall where the process defaults to obvious outcomes rather than exploring nuanced, paradoxical angles across different innovation T-Score directions.

What is the best way to avoid obvious research questions when clarifying scope?

The best way to avoid obvious research questions when clarifying scope is to apply an enhanced Verbalized Sampling process that evaluates alternative formulations against T-Score directions, ensuring the final PICO(S) or SPIDER question is truly innovative.