interview-system-designer – Design & UI skill for AI agents

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 designin

Design & UISKILL.mdClaude Code · Codex · Hermes · DeepSeek

Install the interview-system-designer skill with one command

Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.

Claude Code

mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/interview-system-designer-611b6.tgz | tar xz -C ~/.claude/skills

Call it in Claude Code: /interview-system-designer – then describe the task you want done.

Codex

mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/interview-system-designer-611b6.tgz | tar xz -C ~/.codex/skills

Call it in Codex: $interview-system-designer – then describe the task you want done.

Hermes Agent

mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/interview-system-designer-611b6.tgz | tar xz -C ~/.hermes/skills

Call it in Hermes Agent: /interview-system-designer – then describe the task you want done.

DeepSeek

mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/interview-system-designer-611b6.tgz | tar xz -C ~/.deepcode/skills

Call it in DeepSeek: /interview-system-designer – then describe the task you want done.

SKILL.md 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

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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