change-interviewer

Generate source-grounded Chinese interview packets for unclear change requirements.

2|Updated May 3, 2026
One-click install
npx skills add https://github.com/Rosetears520/aili-workflows --skill change-interviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: change-interviewer
Source: https://github.com/Rosetears520/aili-workflows/tree/main/skills/change-interviewer
Command: npx skills add https://github.com/Rosetears520/aili-workflows --skill change-interviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It turns ambiguous or incomplete change ideas into a source-grounded interview packet so you can confirm requirements instead of guessing.

Core Features & Use Cases

  • Chinese interview packet generation: Produces a user-facing change interview packet in Simplified Chinese while keeping file paths and technical terms in original form.
  • Evidence-grounded questioning: Reads your provided drafts/issues/plans or OpenSpec change directories, inventories evidence, and asks high-value questions for gaps, risks, and acceptance criteria.
  • Controlled write-back: Persists refined results only after questions are answered, mapping confirmed answers back to the agreed target files.

Quick Start

Ask the AI to interview you and turn your rough change idea into tasks, design, and acceptance criteria using evidence from the repository when available.

Frequently Asked Questions about change-interviewer

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

FAQPage Schema
How do I clarify ambiguous change requirements before implementation?

To clarify ambiguous change requirements before implementation, you can generate a source-grounded interview packet that stress-tests drafts by grounding questions in repository code, docs, and existing specs to identify gaps and risks.

What is the best way to refine OpenSpec change directories into actionable tasks?

Refining OpenSpec change directories involves inventorying evidence, asking high-value questions for acceptance criteria, and applying deterministic write-back to persist confirmed answers back into the agreed target files.

How does evidence-grounded questioning work for requirements clarification?

Evidence-grounded questioning works by reading provided drafts, issues, or OpenSpec directories, inventorying existing repository evidence, and generating high-value questions to address gaps, risks, and missing acceptance criteria.

Can I use this to generate a Chinese interview packet from rough change ideas?

Yes, you can generate a user-facing interview packet in Simplified Chinese from rough change ideas, while keeping file paths and technical terms in their original form for accurate requirements clarification.

Does the interview packet generation support controlled write-back to target files?

Yes, the interview packet generation supports controlled write-back, ensuring refined results are persisted only after questions are answered, mapping confirmed answers directly back to the agreed target files.

When do I need to stress-test a change interview packet?

You need to stress-test a change interview packet when you have ambiguous change drafts, plans, issues, or tickets, ensuring requirements are confirmed and repaired before moving into implementation.