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problematization

Diagnose and refine vague interests into theoretically meaningful research questions.

265|23|Updated Feb 7, 2026
Search Tags:#academic writing#research questions#thesis writing#method design#problematization#literature research#theoretical dialogue
One-click install
npx skills add https://github.com/yipng05-max/-skills --skill problematization-yipng05-max
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: problematization
Source: https://github.com/yipng05-max/-skills/tree/main/problematization
Command: npx skills add https://github.com/yipng05-max/-skills --skill problematization-yipng05-max

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps you transform an experience, observation, or vague curiosity into a theoretically meaningful research question by diagnosing whether your current phrasing is actually a research problem and by identifying where it can intervene in academic theoretical debates.

Core Features & Use Cases

  • Research-question diagnosis: Differentiates between an experience question (answerable by description) and a research question (requiring theoretical mechanisms and scholarly contribution).
  • Theoretical dialogue positioning: Generates 2–4 candidate theoretical “dialogues,” explains their core disputes and open issues, and maps how your question could intervene (verification, modification, extension, or challenge).
  • Triple-test quality check: Evaluates theoretical contribution, the “So What” implication if findings match expectations, and feasibility (data access, method fit, time/resources).
  • Drafting output for next steps: Produces 1–2 refined research-question drafts with contribution intent, method path suggestions, and risk warnings, ending with a fixed reminder to let the researcher make the final decision.

Quick Start

Tell the skill your original topic statement (even if vague) and, if you have them, any constraints like data access, timeframe, and target journal type, so it can run the full diagnosis and generate research-question drafts.

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?▼

Transforming a vague interest into a research question requires diagnosing if your phrasing needs theoretical mechanisms rather than mere description, then mapping it to academic debates to identify a scholarly contribution and intervention point.

What is the difference between an experience question and a research question in thesis writing?▼

An experience question is answerable by description, whereas a research question requires theoretical mechanisms and scholarly contribution. Differentiating them ensures your thesis writing addresses open issues within academic theoretical dialogues rather than just describing observations.

How to position a research topic within existing theoretical dialogues for academic writing?▼

Positioning a topic within theoretical dialogues involves generating candidate theoretical debates, explaining their core disputes, and mapping how your research question can intervene through verification, modification, extension, or challenge of existing frameworks.

Can I test the feasibility and theoretical contribution of my research questions before finalizing them?▼

Yes, you can evaluate research questions using a triple-test quality check that assesses theoretical contribution, the "So What" implication if findings match expectations, and feasibility regarding data access, method fit, and available time or resources.

What should I do if my research topic is too broad or too narrow for method design?▼

If your research topic is too broad or narrow for method design, apply structured diagnostics to refine the scope. This process generates 1-2 refined drafts with contribution intent, method path suggestions, and risk warnings to guide your final decision.

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