Agent skill · writing content · anthropics
interview-prep
Create structured interview plans with competency-based questions and scorecards. Trigger with "interview plan for", "interview questions for", "how should we interview", "scorecard for", or when the user is preparing to interview candidates.
Why this skill is useful
Provides a structured framework for creating interview plans and scorecards that the AI wouldn't generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 23,345 stars on the source repository.
What this skill does
Interview Prep Create structured interview plans to evaluate candidates consistently and fairly. Interview Design Principles 1. Structured: Same questions for all candidates in the role 2. Competency-based: Map questions to specific skills and behaviors 3. Evidence-based: Use behavioral and situational questions 4. Diverse panel: Multiple perspectives reduce bias 5. Scored: Use rubrics, not gut feelings Interview Plan Components Role Competencies Define 4-6 key competencies for the role (e.g., technical skills, communication, leadership, problem-solving). Question Bank For each competency, provide: 2-3 behavioral questions ("Tell me about a time...") 1-2 situational questions ("How would you handle...") Follow-up probes Scorecard Rate each competency on a consistent scale (1-4) with clear descriptions of what each level looks like. Debrief Template Structured format for interviewers to share findings and make a decision. Output Produce a complete interview kit: panel assignment (who interviews for what), question bank by competency, scoring rubric, and debrief template.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills anthropics/interview-prep