problematization

Diagnose question types and map theoretical conversations to formulate research questions.

Updated Apr 17, 2026
One-click install
npx skills add https://github.com/RenJW418/RenJW-Research_skill --skill problematization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: problematization
Source: https://github.com/RenJW418/RenJW-Research_skill/tree/main/problematization
Command: npx skills add https://github.com/RenJW418/RenJW-Research_skill --skill problematization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps researchers convert an experience, observation, or broad curiosity into a theoretically meaningful research question instead of merely polishing wording or declaring “it’s important.”

Core Features & Use Cases

  • Research question diagnostics: Distinguishes experience-level questions from research questions by checking whether the expected answer is descriptive or explanatory/mechanistic.
  • Theoretical dialogue mapping: Proposes 2–4 relevant theoretical conversations, explains each one’s core debate and open problems, and shows how the research can intervene (verification, modification, extension, or challenge).
  • Three-stage validation: Runs Theory Contribution, So What (disciplinary implication), and Feasibility checks to refine 1–2 promising directions and draft high-boundary research question statements.

Quick Start

Tell the agent: “I want to study [your topic/phenomenon]. Here is my current idea and any constraints (data access, timeframe, target journals). Help me problematize it into research questions and verify each direction.”

Frequently Asked Questions about problematization

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

FAQPage Schema
How do I turn a vague research interest into a theoretically meaningful research question?

To turn a vague research interest into a research question, diagnose whether your idea is merely descriptive, then map it to relevant theoretical conversations to ensure it yields an explanatory, theoretically meaningful answer.

What is the difference between an experience-level question and a scholarly research question?

An experience-level question expects a descriptive answer, whereas a scholarly research question demands an explanatory or mechanistic answer grounded in theoretical conversations and disciplinary contributions.

How do I map my topic to relevant theoretical conversations for academic writing?

Mapping theoretical conversations involves identifying 2-4 relevant debates, explaining their open problems, and defining how your research intervenes to verify, modify, extend, or challenge existing theories.

How do I validate if my research question has genuine theoretical contribution?

Validate theoretical contribution by applying a three-stage check: articulate the So What disciplinary implication, enforce theory-dialogue linkage, and evaluate feasibility based on data access and timeframe constraints.

Can I use this approach to narrow down an overly broad academic topic?

Yes, the problematization process fits scenarios where you must narrow or broaden an overly wide topic by diagnosing question types and validating feasibility to draft high-boundary research question statements.

What should I provide when asking for help to problematize my research idea?

Provide your target topic or phenomenon, your current idea, and any research constraints such as data access, timeframe, or target journals to effectively refine and validate the research question.