Verified:GitHub

interview-me

Guide user intent refinement through iterative questioning and confidence validation.

Updated May 25, 2026

Search Tags:#confidence assessment #iterative questioning #user intent clarification #intent refinement #dialogue-based learning

Ready to run

npx skills add https://github.com/huuhiep0303/s-tools --skill interview-me-huuhiep0303

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: interview-me
Source: https://github.com/huuhiep0303/s-tools/tree/main/.agents/skills/interview-me
Command: npx skills add https://github.com/huuhiep0303/s-tools --skill interview-me-huuhiep0303

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of understanding and clarifying user intent, especially when initial requests are ambiguous or underspecified.

Core Features & Use Cases

Iterative Interviewing: Engage users in a series of targeted questions to precisely define their needs and goals.
Confidence Assessment: Encourage the user to quantify their confidence in their initial requests to ensure clarity.
Hypothesis Testing: Validate assumptions through direct interaction, refining the understanding of the user's intent with each question.

Quick Start

Use the 'interview-me' skill to start the clarification process by providing your initial hypothesis and confidence level about the user's intent.

Frequently Asked Questions about interview-me

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

FAQPage Schema

How do I clarify user intent when initial requests are ambiguous or underspecified?▼

Clarify user intent by engaging in iterative questioning that explores needs step-by-step. This approach uses targeted questions to define goals precisely, validating assumptions through direct interaction with each refinement.

What is iterative questioning and how does it refine dialogue-based learning?▼

Iterative questioning refines dialogue-based learning by guiding users through a series of targeted questions. It validates assumptions and progressively deepens the understanding of user intent with each step.

How do I assess user confidence to ensure request clarity?▼

Assess user confidence by encouraging users to quantify their certainty in initial requests. This confidence-based validation ensures request clarity and measures how well expectations align with defined needs.

Can I use hypothesis testing to validate assumptions about user needs?▼

Hypothesis testing validates assumptions by requiring an initial hypothesis about user intent. It refines understanding through direct interaction, testing expectations against user responses to achieve precise intent clarification.

Do I need any specific dependencies to start the intent refinement process?▼

No dependencies are required to start the intent refinement process. You begin by providing your initial hypothesis and confidence level about the user's intent to activate the step-by-step exploration.

When should I avoid using iterative questioning for intent clarification?▼

Avoid using iterative questioning when user requests already possess high clarity and depth. This approach is designed specifically for cases lacking precision, so applying it to clear requests adds unnecessary conversational friction.