Interview System Designer

SkillMedia

Your AI can design a complete, structured interview process for any role, from the loop of interviews to the questions and scoring. Once this skill is added, it can also build question banks, rubrics, and hiring pipelines, and suggest improvements to a process you already run.

Available today. Use it from your connected AI after setup.

Tell your AI which role you are hiring for and share any details about your current process. Then ask it to design a full interview loop or improve the one you already have.

Then ask your AI: use the Interview System Designer skill

What your AI can do with it

  • Design structured interview loops for a specific role
  • Generate interview questions and build question banks
  • Create scoring rubrics and competency matrices
  • Map out end-to-end hiring pipelines
  • Analyze interviewer bias in your current process
  • Calibrate and optimize an existing interview process

What this skill tells your AI

The instructions your AI receives, as published by borghei/claude-skills in engineering/interview-system-designer/SKILL.md and read by ahel’s review.

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.

Signals

GitHub stars
740
Forks
135
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
interview-system-designer
Source
github.com/borghei/claude-skills