interview-designer

Transform resume reviews into scorecard-driven interview guides with red/green signals.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/jitenkr2030/QR-Based-Guard-Attendance-Patrol-Proof-System --skill interview-designer-jitenkr2030
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview-designer
Source: https://github.com/jitenkr2030/QR-Based-Guard-Attendance-Patrol-Proof-System/tree/main/skills/interview-designer
Command: npx skills add https://github.com/jitenkr2030/QR-Based-Guard-Attendance-Patrol-Proof-System --skill interview-designer-jitenkr2030

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analyze resumes and design interview strategies using evidence-based methodology to reduce bias and improve hiring outcomes.

Core Features & Use Cases

  • Scorecard-driven interview planning that defines success before reviewing candidates.
  • Forensic resume scanning to identify gaps and strong points with objective evidence.
  • Future Simulation to forecast on-the-job performance through structured scenarios.

Quick Start

Provide a role description and candidate profile, and ask the AI to generate a complete, structured interview guide using the Scorecard → Forensic Scan → Future Simulation framework.

Frequently Asked Questions about interview-designer

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

FAQPage Schema
How do I design an evidence-based interview to reduce hiring bias?

Evidence-based interview design transforms resume review into scorecard-driven evaluation by defining success criteria before evaluating candidates, applying forensic resume scanning, and forecasting on-the-job performance through future simulation scenarios.

What is a scorecard-driven interview guide and how does it work?

A scorecard-driven interview guide defines role-specific success criteria before reviewing candidates, then applies forensic resume scanning to identify objective evidence gaps and strong points, creating structured red and green signals for consistent evaluation.

How do I create structured interview plans using forensic resume scanning?

Forensic resume scanning identifies objective evidence gaps and strong points by systematically analyzing candidate profiles against predefined scorecard criteria, generating structured red and green signals to guide consistent interview evaluation across roles and industries.

Can I use this interview design framework across different roles and industries?

The scorecard-driven interview design framework applies across roles and industries by adapting structured interview guides, red and green signals, and future simulation workflows to specific role requirements and industry contexts.

What's the best way to forecast on-the-job performance during interviews?

Future Simulation forecasts on-the-job performance by presenting structured scenarios that require candidates to demonstrate role-specific competencies, generating evidence-based predictions aligned with the predefined scorecard success criteria.

Why do I need a scorecard before reviewing candidate resumes?

Defining an explicit scorecard before resume review prevents bias by establishing objective success criteria upfront, ensuring the forensic scan evaluates candidates against role requirements rather than subjective impressions or resume presentation quality.