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question-refiner

Refine raw research questions into structured deep-research prompts.

277|46|Updated Dec 25, 2025
Search Tags:#prompt-engineering#deep-research#refine#clarifying-questions#structured-prompts#question-refinement
One-click install
npx skills add https://github.com/liangdabiao/Claude-Code-Deep-Research-main --skill question-refiner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: question-refiner
Source: https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/question-refiner
Command: npx skills add https://github.com/liangdabiao/Claude-Code-Deep-Research-main --skill question-refiner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users transform vague or incomplete research questions into structured, actionable prompts suitable for deep research workflows. It ensures clarifying questions are asked to capture scope, constraints, and audience, enabling reliable prompt generation that aligns with OpenAI/Google Deep Research standards.

Core Features & Use Cases

  • Clarifying Question Flow: Probes for core research details before prompt generation.
  • Structured Prompt Output: Produces ready-to-use prompts that guide deep research tasks.
  • Interaction Handling: Works in a Q&A loop to refine scope and constraints.
  • Use Cases: When users provide raw questions, need scope definition, or want standardized prompts for deep research.

Quick Start

To use this Skill, start by providing your raw research question. The system will ask clarifying questions to gather scope, output format, and constraints, then produce a structured prompt ready for use in your Deep Research workflow.

Frequently Asked Questions about question-refiner

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

FAQPage Schema
How do I turn a vague research question into a structured prompt?▼

Refine your raw question through a clarifying Q&A flow that captures scope, constraints, and output format, producing a structured prompt aligned with deep-research standards ready for immediate use.

What clarifying questions should I answer before running deep research?▼

The refinement process probes for research scope, target audience, required output format, and key constraints, ensuring your final prompt guides deep research tasks with sufficient detail and precision.

Can I use this to standardize prompts for OpenAI or Google Deep Research?▼

Yes. The Skill generates structured prompts that align with OpenAI and Google Deep Research standards, enforcing constraint capture and scope definition to produce consistent, ready-to-use prompts.

What happens if my research question is incomplete?▼

The system asks follow-up questions to extract missing details about scope, audience, and deliverables, then outputs both a refined prompt and task context summarizing the clarifications made.

How does prompt refinement improve research results?▼

Structured prompts with clearly defined scope and constraints reduce ambiguity, enabling deep-research tools to focus effort on relevant sources and produce more reliable, targeted findings.

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