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Interview System Designer

This skill should be used when the user asks to "design interview processes", "create hiring pipelines", "calibrate interview loops", "generate interview questions", "design competency matrices", "analyze interviewer bias", "create scoring rubrics", "build question banks", or "optimize hiring systems". Use for designing role-specific interview loops, competency assessments, and hiring calibration systems.

$ npx promptcreek add interview-system-designer

Auto-detects your installed agents and installs the skill to each one.

What This Skill Does

The Interview System Designer skill creates structured interview loops, standardizes question quality, and maintains consistent hiring signals across interviewers. It provides tools for interview loop planning by role and level, round-by-round focus recommendations, and suggested question sets. This skill supports scoring and calibration frameworks, bias reduction, and process consistency guidance.

When to Use

  • Generate a loop plan for a role and level.
  • Align rounds to role-specific competencies.
  • Validate scoring rubric consistency with interview panel leads.
  • Review for bias controls before rollout.
  • Recalibrate quarterly using hiring outcome data.

Key Features

Plans interview loops by role and level.
Recommends round-by-round focus and timing.
Suggests question sets by round type.
Supports scoring and calibration frameworks.
Provides bias-reduction and process consistency guidance.

Installation

Run in your project directory:
$ npx promptcreek add interview-system-designer

Auto-detects your installed agents (Claude Code, Cursor, Codex, etc.) and installs the skill to each one.

View Full Skill Content

Interview System Designer

Comprehensive interview loop planning and calibration support for role-based hiring systems.

Overview

Use this skill to create structured interview loops, standardize question quality, and keep hiring signal consistent across interviewers.

Core Capabilities

  • Interview loop planning by role and level
  • Round-by-round focus and timing recommendations
  • Suggested question sets by round type
  • Framework support for scoring and calibration
  • Bias-reduction and process consistency guidance

Quick Start

# Generate a loop plan for a role and level

python3 scripts/interview_planner.py --role "Senior Software Engineer" --level senior



JSON output for integration with internal tooling


python3 scripts/interview_planner.py --role "Product Manager" --level mid --json

Recommended Workflow

  • Run scripts/interview_planner.py to generate a baseline loop.
  • Align rounds to role-specific competencies.
  • Validate scoring rubric consistency with interview panel leads.
  • Review for bias controls before rollout.
  • Recalibrate quarterly using hiring outcome data.

References

  • references/interview-frameworks.md
  • references/bias_mitigation_checklist.md
  • references/competency_matrix_templates.md
  • references/debrief_facilitation_guide.md

Common Pitfalls

  • Overweighting one round while ignoring other competency signals
  • Using unstructured interviews without standardized scoring
  • Skipping calibration sessions for interviewers
  • Changing hiring bar without documenting rationale

Best Practices

  • Keep round objectives explicit and non-overlapping.
  • Require evidence for each score recommendation.
  • Use the same baseline rubric across comparable roles.
  • Revisit loop design based on quality-of-hire outcomes.
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Supported Agents

Claude CodeCursorCodexGemini CLIAiderWindsurfOpenClaw

Attribution

Alireza Rezvani
alirezarezvani/claude-skills
MITseeded

Details

License
MIT
Source
seeded
Published
3/17/2026

Tags

engineering

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