interview-question-generator

SkillDev tools

Generates technical interview questions plus an evaluation rubric for a given role or skill area. Use when preparing to interview a candidate and need structured, fair questions rather than ad hoc ones.

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

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the interview-question-generator skill

What this skill tells your AI

The instructions your AI receives, as published by codebygarv/ai-skills in skills/productivity/interview-question-generator/SKILL.md and read by ahel’s review.

Purpose

Generate a set of technical interview questions for a given role/skill area, paired with a concrete evaluation rubric — so interviews are structured and comparable across candidates, not improvised each time.

When to Use

  • Preparing to interview a candidate for a specific role or skill area.
  • An interview loop needs consistent questions across interviewers.
  • Existing interview questions feel stale, too generic, or don't actually test what the role needs.

What to Analyze / Do

  1. Clarify what's actually being assessed — a specific skill area (e.g. "React component design," "SQL query writing," "system design for a backend role"), seniority level, and time budget.
  2. Generate questions that discriminate — questions where a strong candidate's answer clearly differs from a weak one, not questions with a single memorizable correct answer that only tests recall.
  3. Mix question types appropriately for the time budget — e.g. one deeper problem plus a couple of follow-up probes, rather than many shallow questions if time is short.
  4. Write a rubric per question — what a strong, adequate, and weak answer each look like, so different interviewers score consistently.
  5. Include likely follow-up probes for each question — what to ask if the candidate's first answer is too shallow, to get more signal.

Output Format

  • For each question: the question itself, what it's assessing, the rubric (strong/adequate/weak signals), and 1-2 follow-up probes.
  • Ordered roughly by difficulty or logical flow (easier/broader first, if applicable).
  • A note on total suggested time budget across the set.

Avoid

  • Trivia-style questions that just test memorization of a specific fact/API rather than actual understanding or problem-solving.
  • Questions with a single "gotcha" correct answer with no room for a candidate to demonstrate reasoning.
  • Generating questions detached from the stated seniority level (e.g. asking senior-level system design questions for an entry-level role).

Signals

GitHub stars
25
Forks
1
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
interview-question-generator
Source
github.com/codebygarv/ai-skills