interview-me

Guide researchers through structured interviews to produce detailed research specification documents.

Updated Mar 2, 2026
One-click install
npx skills add https://github.com/AmbroseTriC/ECON53_DAC --skill interview-me-ambrosetric
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview-me
Source: https://github.com/AmbroseTriC/ECON53_DAC/tree/main/.agents/skills_pre_codex_migration_2026-03-19/interview-me
Command: npx skills add https://github.com/AmbroseTriC/ECON53_DAC --skill interview-me-ambrosetric

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Researchers often struggle to transform initial ideas into clear, actionable research specifications; this Skill bridges that gap by guiding a conversational interview process.

Core Features & Use Cases

  • Structured Interviewing: Guides users through sequential questions to clarify research concepts, hypotheses, and empirical strategies.
  • Research Specification Generation: Produces detailed markdown documents outlining research questions, motivation, data, and contribution after a series of probing exchanges.
  • Use Case: An academic researcher begins with a vague idea of a puzzle; this Skill helps to systematically develop a comprehensive research plan and documentation.

Quick Start

Conduct an interactive interview with the AI to formalize your research idea into a structured research specification document.

Frequently Asked Questions about interview-me

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

FAQPage Schema
How do I formalize a vague research idea into a structured research specification?

To formalize a vague research idea into a research specification, you can use an interactive interview process that sequentially probes concepts to clarify hypotheses, data design, and contribution articulation.

What is the best way to develop academic research hypotheses through guided conversation?

Developing academic research hypotheses through guided conversation involves protocol-driven dialogue where sequential questions systematically extract and refine your initial puzzle into a structured empirical strategy.

Can I use conversational interviewing for social science research design?

Yes, conversational interviewing supports social science research design by operating within academic and policy contexts to help researchers articulate motivation, formulate hypotheses, and structure data design.

How to generate a markdown document outlining my research questions and data plan?

To generate a markdown document outlining research questions and data plans, complete a guided conversational interview that transforms your inputs into detailed research specifications covering motivation and contribution.

Do I need external tools or data sources for interactive research idea formulation?

No external tools or data sources are required for interactive research idea formulation, as the process relies entirely on protocol-driven dialogue to develop your research specifications from initial concepts.

What are the limitations of using conversational probing for academic research design?

A limitation of using conversational probing for academic research design is that it focuses on protocol-driven dialogue for specification generation, meaning it does not independently gather external data or run statistical analysis.