How does the refinement process work?

The skill guides you through stages: Excavating Interest, Mapping the Territory, Finding the Gap, Refining to a Concrete Question, Feasibility Check, and final Litmus Testing.

What is the Research Question Refiner?

It is a specialized Claude Code skill that helps researchers transform broad, vague interests into precise, actionable research questions through a structured six-stage methodology.

What kind of output does the skill provide?

It generates a comprehensive Research Question Brief that includes your refined questions, hypotheses, feasibility analysis, and immediate next steps for your project.

Who should use this Claude Code skill?

It is ideal for researchers, PhD students, and data scientists who need to scope projects, identify unique research gaps, and validate the feasibility of their ideas before committing resources.

Can it help with technical feasibility?

Yes, it specifically assesses resource requirements such as compute power, data availability, and time, while also conducting a risk assessment for your specific hypothesis.

Research Question Refiner

Name: Research Question Refiner
Author: GhostScientist

byGhostScientist

•

データサイエンスとML

Transforms vague research interests into concrete, actionable, and tractable research questions with a systematic feasibility analysis.

概要

The Research Question Refiner is a specialized skill for Claude Code designed to guide researchers and developers through the rigorous process of scoping and defining high-impact research projects. It moves users from broad interests to specific, measurable hypotheses by mapping the current landscape, identifying critical knowledge gaps, and performing detailed feasibility checks. Whether you are starting a new academic paper, a thesis chapter, or a complex technical investigation, this skill helps ensure your research direction is novel, achievable, and significant enough to drive meaningful results.

主な機能

Structured Research Question Brief output with clear hypotheses and next steps
Gap identification framework to find novel and high-impact research niches
1 GitHub stars
Systematic 6-stage refinement process from raw interest to concrete action
Automated feasibility assessment covering compute, data, and technical risks
Built-in 'Litmus Tests' to validate interest, scope, and impact before work begins

ユースケース

Evaluating the feasibility and novelty of a potential research direction
Scoping a new academic paper or thesis project in AI and computer science
Refining vague technical project ideas into concrete experimental designs

概要

主な機能

Structured Research Question Brief output with clear hypotheses and next steps
Gap identification framework to find novel and high-impact research niches
1 GitHub stars
Systematic 6-stage refinement process from raw interest to concrete action
Automated feasibility assessment covering compute, data, and technical risks
Built-in 'Litmus Tests' to validate interest, scope, and impact before work begins

ユースケース

Evaluating the feasibility and novelty of a potential research direction
Scoping a new academic paper or thesis project in AI and computer science
Refining vague technical project ideas into concrete experimental designs