interview-system-designer

This skill should be used when the user asks to "design interview processes", "create hiring pipelines", "calibrate interview loops", "generate interview…

INSTALLATION
npx skills add https://github.com/alirezarezvani/claude-skills --skill interview-system-designer
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

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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