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question-refiner

Refines vague research questions into structured prompts with clarifying checklists.

425|37|Updated Mar 6, 2026
Search Tags:#research#prompt-engineering#literature-review#clarifying-questions#question-refinement#research-brief
One-click install
npx skills add https://github.com/cnfjlhj/ai-collab-playbook --skill question-refiner-cnfjlhj
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: question-refiner
Source: https://github.com/cnfjlhj/ai-collab-playbook/tree/main/skills/full/question-refiner
Command: npx skills add https://github.com/cnfjlhj/ai-collab-playbook --skill question-refiner-cnfjlhj

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users who have a vague, under-specified, or overly broad research question by turning that raw idea into a structured, actionable research brief and prompt. It prevents wasted effort on unfocused literature reviews or experiments by eliciting necessary constraints, audiences, and deliverables before work begins.

Core Features & Use Cases

  • Clarifying Questionnaire: A comprehensive set of targeted questions covering scope, timeframe, geography, sources, audience, outputs, and exclusions to surface implicit assumptions.
  • Structured Prompt Generator: Produces a ready-to-run research prompt with TASK, CONTEXT/BACKGROUND, SPECIFIC QUESTIONS, KEYWORDS, CONSTRAINTS, OUTPUT FORMAT, and FINAL INSTRUCTIONS.
  • Quality Checklist & Examples: Ensures prompt completeness with a verification checklist and example templates for academic reviews, market analysis, policy research, and technical assessments.
  • Use Case: A PhD student with a fuzzy project idea can refine it into a 1–2 page research brief that guides literature review and experiment planning.

Quick Start

Ask the skill to "Help me clarify my research question on [topic] and produce a structured research prompt including scope, key questions, and preferred output format."

Frequently Asked Questions about question-refiner

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

FAQPage Schema
How do I refine a vague research question into a structured prompt for literature review?▼

To refine a vague research question into a structured prompt, a clarifying questionnaire surfaces implicit assumptions about scope and audience. This generates a ready-to-run research brief with defined constraints, specific questions, and output format specifications.

What is a research brief and how does it guide academic or industry research planning?▼

A research brief is a structured prompt template guiding academic and industry research planning. It defines task objectives, context, specific questions, keywords, constraints, and citation requirements to prevent unfocused literature reviews or wasted experimental effort.

How do I structure a research prompt with specific questions and constraints before experimental design?▼

Structuring a research prompt before experimental design involves generating sections for TASK, CONTEXT, SPECIFIC QUESTIONS, KEYWORDS, CONSTRAINTS, and OUTPUT FORMAT. This ensures all necessary parameters and deliverables are defined before research begins.

Can I use clarifying questions to scope market analysis or policy research effectively?▼

Clarifying questions scope market analysis and policy research by targeting timeframe, geography, sources, and exclusions. This questionnaire approach ensures the resulting research brief matches the exact needs of the intended audience.

What is the best way to turn a fuzzy project idea into an actionable research prompt?▼

The best way to turn a fuzzy project idea into an actionable research prompt is applying a quality checklist that verifies completeness. This process outputs a structured template with prioritized subquestions and defined output specifications.

When should I not use a structured research brief generator for prompt engineering?▼

You should not use a structured research brief generator when your query is already highly specific or requires immediate factual retrieval rather than comprehensive planning. It is designed for broad, under-specified topics needing scope definition.

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