Intent Interviewer FAQs

Question 1

What is the primary output of the Intent Interviewer skill?

Accepted Answer

It produces two key artifacts: intent.md, a technical specification designed for code agents, and overview.md, a human-friendly summary for the broader team.

Question 2

Does it support languages other than English?

Accepted Answer

Yes, the skill is designed to match the user's language, specifically providing support for both English and Chinese requirement gathering.

Question 3

When should I use this skill instead of just describing my idea?

Accepted Answer

Use it when an idea is complex or vague, when you need to ensure an AI agent can implement the task without further questions, or when you need structured documentation for a team.

Question 4

How does the interview process work?

Accepted Answer

The skill follows a four-phase workflow: exploring the problem space, conducting iterative technical deep dives, resolving logic contradictions, and verifying implementation readiness.

Question 5

What technical dimensions does the interview cover?

Accepted Answer

The deep dive covers data sources, rendering strategies, synchronization, system architecture, UX flows, edge cases, tech stack selection, and MVP boundaries.

Intent Interviewer

主要功能

使用场景

Intent Interviewer

主要功能

使用场景