question-refiner-skills

Refine ambiguous research inquiries into structured research plans with clarifying questions.

4|2|Updated Dec 28, 2025
One-click install
npx skills add https://github.com/lazygophers/ccplugin --skill question-refiner-skills
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: question-refiner-skills
Source: https://github.com/lazygophers/ccplugin/tree/main/plugins/tools/deepresearch/skills/question-refiner-skills
Command: npx skills add https://github.com/lazygophers/ccplugin --skill question-refiner-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill transforms vague or overly broad research questions into structured, actionable research plans, ensuring clarity and feasibility.

Core Features & Use Cases

  • Problem Clarification: Identifies the core of a research query.
  • Dimension-Based Questioning: Proactively asks about scope, audience, output, and constraints.
  • Structured Plan Generation: Creates a detailed research outline based on user input.
  • Use Case: A user asks "I want to research AI." This Skill will ask clarifying questions about specific subfields, desired output format, target audience, and time constraints to generate a precise research plan.

Quick Start

Use the question-refiner-skills to refine the research question "What are the latest trends in renewable energy?".

Frequently Asked Questions about question-refiner-skills

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

FAQPage Schema
How do I refine a broad research question into an actionable plan?

To refine a broad research question, clarify its scope, audience, output requirements, and constraints. This structuring process transforms vague academic, technical, or market inquiries into detailed, actionable research plans.

What is question refinement for research planning?

Question refinement for research planning is the systematic clarification of ambiguous inquiries. It identifies the core problem and proactively queries dimensions like scope and audience to generate a precise research outline.

Does this approach support academic, technical, and market research contexts?

Yes, this approach supports academic, technical, and market research contexts. It systematically queries for constraints and output requirements to generate tailored, structured plans regardless of the specific research domain.

How do I structure a vague inquiry using dimension-based questioning?

Structure a vague inquiry by proactively asking questions about its scope, target audience, desired output, and constraints. This dimension-based questioning identifies the core problem and creates a detailed research outline.

What is the best way to generate a detailed research outline from a simple topic?

The best way to generate a detailed research outline is to systematically clarify the simple topic through dimension-based questioning. Defining specific subfields and constraints ensures the resulting research plan is clear and feasible.