interview

Conducts an interactive interview to generate a detailed specification document.

27|3|Updated Aug 22, 2024
One-click install
npx skills add https://github.com/fred-drake/nix --skill interview-fred-drake
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview
Source: https://github.com/fred-drake/nix/tree/main/apps/claude-code/skills/interview
Command: npx skills add https://github.com/fred-drake/nix --skill interview-fred-drake

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performs an in-depth AI-driven interview to elicit detailed requirements and produce a final specification.

Core Features & Use Cases

  • Deep questioning to reveal non-obvious requirements and trade-offs.
  • Iterative refinement to improve questions and outputs until a complete spec is formed.
  • Spec generation to produce a structured, ready-to-use specification document.

Quick Start

Ask the AI to conduct an in-depth interview and generate a complete specification.

Frequently Asked Questions about interview

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

FAQPage Schema
How do I elicit detailed software requirements to produce a final specification document?

Produce a software specification by running an iterative, AI-driven interview that conducts layered questioning to reveal non-obvious requirements, records responses, and outputs a structured, ready-to-use spec document.

What is the best way to conduct a deep questioning interview for product planning?

The best way to conduct a deep questioning interview for product planning is using an iterative AskUserQuestion-based workflow that progressively refines questions to reveal trade-offs until a complete spec is formed.

Can I use an automated interview to gather UX requirements and draft a design specification?

Yes, you can use an automated interview to gather UX requirements and draft a design specification; the workflow applies layered questioning to elicit deep insights and outputs a full spec applicable to software design contexts.

How does an AI interview workflow reveal non-obvious requirements during specification drafting?

An AI interview workflow reveals non-obvious requirements during specification drafting by implementing iterative refinement of questions, pushing past surface-level answers to expose hidden trade-offs before generating the final document.

Does this requirements elicitation approach work for research contexts or only software product management?

This requirements elicitation approach works for both research contexts and software product management; the interview workflow is applicable to any scenario where deep questioning and specification drafting are needed to capture detailed insights.