interview-system-designer

Name: interview-system-designer
Availability: InStock
Author: patasse97

Design interview loops, competency banks, and scoring rubrics with YAML frontmatter validation.

Updated Apr 9, 2026

Search Tags:#interview #calibration #bias #workflows #hiring #competencies #scorecards

Ready to run

npx skills add https://github.com/Patasse97/claude-skills --skill interview-system-designer-patasse97

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: interview-system-designer
Source: https://github.com/Patasse97/claude-skills/tree/main/engineering/interview-system-designer
Command: npx skills add https://github.com/Patasse97/claude-skills --skill interview-system-designer-patasse97

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Interviews for role-based hiring often suffer from inconsistency, bias, and misalignment across panels; this skill provides a structured framework to design, calibrate, and optimize interview loops, competency matrices, and scoring rubrics to improve fairness and hire quality.

Core Features & Use Cases

Structured loop design by role and level with round definitions, durations, and focus areas.
Competency banks and standardized scoring rubrics to enable cross-interviewer calibration.
Debrief facilitation templates, bias-mitigation guidance, and reference materials for best practices.
Rapid Quick Start workflows to generate loops, questions, and calibration reports for ongoing hiring pipelines.

Quick Start

Generate a baseline interview loop plan for a Senior Software Engineer using the built-in planner or guidance.

Frequently Asked Questions about interview-system-designer

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

FAQPage Schema

How do I design an interview loop that reduces bias and standardizes evaluation?▼

Interview scorecards standardize evaluation by using competency banks and standardized scoring rubrics. They enable cross-interviewer calibration by aligning scores with role requirements and organizational values to ensure fair hiring outcomes.

What is the best way to create competency matrices for hiring at scale?▼

Creating competency matrices for scale involves applying structured frameworks across roles and levels. This generates calibrated loops and competency banks that align with role requirements, ensuring fair hiring outcomes across multiple pipelines.

Can I generate interview question banks for specific roles and levels?▼

Yes, you can generate competency banks and interview questions for specific roles and levels. The system applies structured frameworks to produce role-aligned questions, scoring rubrics, and calibration reports for ongoing hiring pipelines.

Does the Skill output integrate with external hiring tooling and analytics?▼

The Skill delivers integration-ready outputs for tooling and analytics. It enforces YAML frontmatter validation for name and description in SKILL.md, supporting optional references and assets for generating calibrated hiring workflows.

Are there limitations when applying this framework to non-technical hiring workflows?▼

The framework is designed for role-based hiring workflows across various roles and levels. While it generates calibrated loops and competency matrices, its structured scoring rubrics and debrief templates are optimized for standardized evaluation rather than unstructured hiring processes.