What problem does it solve?
This Skill helps teams capture the missing context behind a product story before specification work begins. It replaces vague requirements with a structured interview that uncovers scope, constraints, APIs, decisions, and existing system context needed to produce a useful interview.md file.
Core Features & Use Cases
- Structured discovery workflow: Reads existing product specs, archived drafts, interviews, code, adapters, and tests before asking questions.
- Adaptive interviewing: Guides the user through short rounds of relevant questions, skipping unnecessary topics and avoiding duplicate information.
- Story-ready output: Produces an interview.md file that can feed downstream story, mockup, API specification, and test specification workflows.
- Use Case: When a product manager or engineer has a story number or rough feature name but not enough detail to write a solid specification, this Skill interviews stakeholders and turns their answers into a grounded context document.
Quick Start
Ask the AI to run the interview skill for a specific story number or story name and answer its follow-up questions to generate interview.md.