interview-me

Clarify underspecified requests through interactive questioning before planning.

2|1|Updated Apr 22, 2026
One-click install
npx skills add https://github.com/pytholic/claude-skills --skill interview-me-pytholic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview-me
Source: https://github.com/pytholic/claude-skills/tree/main/interview-me
Command: npx skills add https://github.com/pytholic/claude-skills --skill interview-me-pytholic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps uncover what the user actually wants when a request is vague, conventional, or underspecified. It prevents wasted effort by replacing assumptions with a shared understanding before planning, specs, or code begin.

Core Features & Use Cases

  • Intent Discovery: Identifies missing details like who the request is for, why it matters, what success looks like, and what constraints apply.
  • One-Question Interviewing: Asks a single focused question at a time, with an explicit guess attached, so the user can quickly correct assumptions.
  • Alignment Checkpoint: Restates the confirmed intent in the user's own words with outcome, user, why now, success, constraint, and out of scope.
  • Use Case: A user says "build me a dashboard" and the Skill helps determine whether they really need a tracker, a report, a metric view, or something else entirely.

Quick Start

Use the interview-me skill to clarify the user's real goal before proposing a solution.

Frequently Asked Questions about interview-me

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

FAQPage Schema
How do I clarify ambiguous project requirements before starting development?

To clarify ambiguous project requirements, use an interactive intent discovery process that extracts success criteria, target audience, and constraints through focused questioning before planning begins. This replaces assumptions with a shared understanding of the true goal.

What is the best way to align stakeholders on scope definition for an underspecified request?

The best way to align stakeholders on scope definition is conducting an alignment checkpoint that restates the confirmed intent, including outcomes, constraints, and out-of-scope items. This ensures shared understanding before implementation starts.

How do I gather missing requirements when a user asks for a conventional feature?

To gather missing requirements for a conventional feature, apply one-question interviewing to identify missing details like who the request is for, why it matters now, and what success looks like. This prevents wasted effort on incorrect assumptions.

Does intent clarification work for resolving underspecified requests like building a dashboard?

Yes, intent clarification works for resolving underspecified requests like building a dashboard by determining whether you need a tracker, a report, or a metric view. It identifies the true intent through interactive back-and-forth questioning.

When should I not use intent discovery questioning for requirements gathering?

You should not use intent discovery questioning when a request is already fully specified with clear success criteria, defined audience, and explicit constraints. It is specifically designed for ambiguous or convention-driven asks where details are missing.