What is the primary output of the Intent Interviewer skill?

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.

Does it support languages other than English?

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

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

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.

How does the interview process work?

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

What technical dimensions does the interview cover?

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

Intent Interviewer

Name: Intent Interviewer
Author: ArcBlock

byArcBlock

•

生産性とワークフロー

Transforms vague project ideas into comprehensive technical specifications and project summaries through structured, interactive interviewing.

Intent Interviewer is a specialized Claude Code skill designed to bridge the gap between initial concepts and implementation-ready documentation. By guiding users through a rigorous four-phase structured methodology—covering problem space definition, technical deep-dives, and contradiction resolution—it eliminates ambiguity before coding begins. The skill generates two distinct artifacts: intent.md, a detailed technical specification optimized for AI agents, and overview.md, a high-level summary for human stakeholders, ensuring technical precision and team alignment.

主な機能

015 GitHub stars

02Phase-based structured interviewing methodology

03Comprehensive readiness checks for implementation

04Automated generation of technical specifications (intent.md)

05Intelligent contradiction detection and resolution

06Human-friendly project overviews with ASCII diagrams

ユースケース

01Documenting complex technical requirements for AI-driven development

02Defining the MVP scope and architecture for a new software feature

03Aligning stakeholders on project goals and technical trade-offs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add arcblock/agent-skills intent-interview

For use in Claude.ai and ChatGPT

Download Skill