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interview-system-designer

interview-system-designer

github.com/alirezarezvaniOther28.9k674 installsUpdated 2d ago
Repository

About interview-system-designer

A hiring-planning skill for teams designing role-based interview loops. It provides round plans, question suggestions, scoring frameworks, and guidance for consistent, bias-aware evaluation.

Key features

  1. 01Role- and level-based loop planning
  2. 02Round focus and timing guidance
  3. 03Question suggestions by interview round
  4. 04Scoring and calibration frameworks
  5. 05Bias reduction and process consistency guidance

Use cases

  1. 01Planning interviews for a specific role and level
  2. 02Aligning interview rounds to role competencies
  3. 03Calibrating rubrics across an interview panel
  4. 04Reviewing hiring processes for bias controls

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/alirezarezvani/claude-skills --skill interview-system-designer

After installing, type/interview-system-designerin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

hiring_calibrator.py
loop_designer.py
question_bank_generator.py
README.md
assets/
sample_interview_results.json
sample_role_definitions.json
expected_outputs/
product_manager_senior_questions.json
product_manager_senior_questions.txt
senior_software_engineer_senior_interview_loop.json
senior_software_engineer_senior_interview_loop.txt
references/
bias_mitigation_checklist.md
competency_matrix_templates.md
debrief_facilitation_guide.md
interview-frameworks.md
scripts/
interview_planner.py

Details

From the project README

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

  1. Run scripts/interview_planner.py to generate a baseline loop.
  2. Align rounds to role-specific competencies.
  3. Validate scoring rubric consistency with interview panel leads.
  4. Review for bias controls before rollout.
  5. 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

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

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