topic-problematization

Diagnose research topic quality through a four-step problematization framework for social sciences.

15|2|Updated May 4, 2026
One-click install
npx skills add https://github.com/AppleCG/academic-research-workflow --skill topic-problematization-applecg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: topic-problematization
Source: https://github.com/AppleCG/academic-research-workflow/tree/main/sub-skills/topic-problematization
Command: npx skills add https://github.com/AppleCG/academic-research-workflow --skill topic-problematization-applecg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Researchers in social sciences and humanities often struggle to judge whether their topic is worth pursuing, whether their research question is a genuine problem, and how to turn a vague interest into an operational research design. This Skill provides a structured diagnostic process distilled from 9 authoritative methodology sources across 9 disciplines. ## Core Features & Use Cases - Drive-Type Positioning: Identifies whether your topic is driven by empirical paradox, theoretical contradiction, literature gap, method limitation, or archival data, with source-attributed next steps for each type. - Question Quality Testing: Applies Zhao Dingxin's six-element test, the puzzle-vs-difficulty distinction, and the difference-questioning vs process-questioning diagnostic to validate research questions. - Defense Construction & Operationalization: Guides building theoretical, practical, and feasibility defenses, then converts the question into hypothesis trees, concept naming, and iterative title refinement. - Use Case: A doctoral student says "I have an idea but don't know if it can become a dissertation." The Skill walks them through drive-type identification, six-element question testing, three-part topic defense, and hypothesis-tree construction, with every criterion traceable to a named scholar. ## Quick Start Ask the assistant to diagnose my research topic using the four-step problematization framework and tell me whether my research question passes the quality tests.

Frequently Asked Questions about topic-problematization

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

FAQPage Schema
How do I know if my research question is good enough?▼

Apply the six-element test: information content, measurable difference, causal hypothesis with alternatives, valid implicit assumptions, appropriately scoped answer, and disciplinary importance. A question outsiders could also ask usually signals insufficient case understanding.

How to turn a research interest into an operational research design?▼

Build a hypothesis tree by decomposing your core hypothesis into observable sub-hypotheses, name any newly identified concepts, and iterate your title through direction-setting, mid-revision, and finalization rounds. This converts a broad interest into testable components.

What is the difference between gap-spotting and problematization in research?▼

Gap-spotting fills holes within existing theoretical frameworks, while problematization challenges the underlying assumptions those frameworks rest on. Problematization targets assumption levels from in-house up to meta-theoretical, producing more fundamental contributions.

Does this topic diagnostic work for qualitative and quantitative research?▼

Yes, it provides cross-disciplinary parameters for qualitative, quantitative, and historical research paths. Each path adjusts drive types, question phrasing, testing emphasis, and defense focus, such as measurement validity for quantitative work versus source reliability for historical work.

When should I not use a topic diagnostic framework?▼

Avoid it if you are still in the pre-topic immersion stage and cannot articulate why the topic interests you, since diagnosis requires an initial candidate question. It also does not generate topics for you; it evaluates and deepens questions you bring.