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", "...
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.
Install
Quick install
npx skills add https://github.com/alirezarezvani/claude-skills/tree/main/engineering/skills/interview-system-designernpx skills add alirezarezvani/claude-skills --skill interview-system-designer --agent claude-codenpx skills add alirezarezvani/claude-skills --skill interview-system-designer --agent cursornpx skills add alirezarezvani/claude-skills --skill interview-system-designer --agent codexnpx skills add alirezarezvani/claude-skills --skill interview-system-designer --agent opencodenpx skills add alirezarezvani/claude-skills --skill interview-system-designer --agent github-copilotnpx skills add alirezarezvani/claude-skills --skill interview-system-designer --agent windsurfMore install options
Shorthand — useful for multi-skill repos:
npx skills add alirezarezvani/claude-skills --skill interview-system-designerManual — clone the repo and drop the folder into your agent's skills directory:
git clone https://github.com/alirezarezvani/claude-skills.gitcp -r claude-skills/engineering/skills/interview-system-designer ~/.claude/skills/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.pyto 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.mdreferences/bias_mitigation_checklist.mdreferences/competency_matrix_templates.mdreferences/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.
SKILL.md source
--- name: interview-system-designer description: 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", "... --- # 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 ```bash # 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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