interview-me

Conduct one-question-at-a-time interviews to extract user intent with confidence scoring.

1|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/Borisserz/FoodTracker --skill interview-me-borisserz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview-me
Source: https://github.com/Borisserz/FoodTracker/tree/main/.agents/skills/skills/interview-me
Command: npx skills add https://github.com/Borisserz/FoodTracker --skill interview-me-borisserz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps you uncover the true user intent by guiding a focused, one-question-at-a-time interview until you achieve high confidence about the underlying goal.

Core Features & Use Cases

  • Hypothesis-driven questioning: start with a stated guess and attach a confidence score to surface gaps.
  • One-question-at-a-time flow: prevents batching and reduces assumption-driven design.
  • Restate and confirm: delivers a concrete, explicit intent ready for downstream planning or execution.

Quick Start

State a hypothesis and ask one clarifying question to begin the interview.

Frequently Asked Questions about interview-me

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

FAQPage Schema
How do I clarify underspecified requirements before starting a project?

You can clarify underspecified requirements by conducting a one-question-at-a-time interview to extract true user intent, generating hypotheses, and scoring confidence until it reaches approximately 95% for explicit confirmation.

How do I conduct a one-question-at-a-time interview to surface hidden requirements?

Start by stating a hypothesis with an attached confidence score, then ask one clarifying question at a time, updating your confidence level until it reaches roughly 95% to trigger a structured restate for explicit confirmation.

When should I use hypothesis-driven questioning for requirement gathering?

Use hypothesis-driven questioning when requests are underspecified or when you explicitly invoke interrogation to surface hidden requirements, ensuring you attach a confidence score to your initial guess to identify and address information gaps.

What is the best way to reach high confidence in user intent without asking multiple questions at once?

The best way to reach high confidence is through sequential one-question prompts combined with continuous confidence scoring, stopping the interview process only when your confidence level hits around 95%.

Does this requirement interrogation approach work without batching multiple queries together?

Yes, the approach strictly enforces a one-question-at-a-time flow to prevent batching, deliberately reducing assumption-driven design by guiding a focused interview that surfaces the true underlying goal incrementally.