interview-packager

Create and organize interview packets by clustering hypotheses and open questions.

3|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/ForgePlan/marketplace --skill interview-packager
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview-packager
Source: https://github.com/ForgePlan/marketplace/tree/main/plugins/forgeplan-brownfield-pack/skills/interview-packager
Command: npx skills add https://github.com/ForgePlan/marketplace --skill interview-packager

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the issue of accumulated questions and hypotheses that need to be verified by Domain Owners through a structured interview process.

Core Features & Use Cases

  • Interview Packet Creation: Automatically generate interview packets for Domain Owners that include all relevant hypotheses and questions.
  • Prioritization and Clustering: Prioritize and cluster questions by domain, entity, and priority, ensuring the most critical issues are addressed first.
  • Response Tracking: Track responses to ensure all questions are answered and update hypothesis confidence accordingly.
  • Use Case: When you have a complex set of hypotheses that require verification from Domain Owners, this skill can help organize the data into a structured format, making the interview process efficient and effective.

Quick Start

Use the interview-packager skill to generate an interview packet from the current parked hypotheses: /interview-packager

Frequently Asked Questions about interview-packager

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

FAQPage Schema
How do I structure accumulated hypotheses for Domain Owner verification?

Generate an interview packet by clustering parked hypotheses and open questions by domain, entity, and priority. This structured format ensures critical issues are addressed first during Domain Owner interviews.

What is the best way to prioritize open questions for structured interviews?

The best way to prioritize open questions for structured interviews is clustering them by domain, entity, and priority. This ensures the most critical hypotheses are addressed first during the Domain Owner verification process.

How do I track interview responses to update hypothesis confidence?

Track interview responses to update hypothesis confidence by parsing and processing the answers provided by Domain Owners. This ensures all questions in the interview packet are answered and confidence levels are adjusted accordingly.

When do I need an interview packet for hypothesis management?

You need an interview packet for hypothesis management when you have a complex set of hypotheses requiring Domain Owner verification. It organizes data into a structured format, making the interview process efficient and effective.

Can I group interview questions by domain and entity automatically?

Yes, you can group interview questions by domain and entity automatically. The system prioritizes and clusters questions by domain, entity, and priority, ensuring the most critical issues are addressed first in the packet.

Does this interview packet approach work without external dependencies?

Yes, this interview packet approach works without external dependencies. It operates independently using internal scripts and references to parse responses and update hypothesis confidence during Domain Owner verification.