question-refiner
CommunityRefine questions into structured, actionable prompts.
System Documentation
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.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: question-refiner Download link: https://github.com/liangdabiao/Claude-Code-Deep-Research-main/archive/main.zip#question-refiner Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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