interview-guide

Generate structured technical interview guides with scoring rubrics and evaluation templates.

1|Updated Jun 9, 2026
One-click install
npx skills add https://github.com/prestarius/jet-skills-stack --skill interview-guide-prestarius
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview-guide
Source: https://github.com/prestarius/jet-skills-stack/tree/main/skills/interview-guide
Command: npx skills add https://github.com/prestarius/jet-skills-stack --skill interview-guide-prestarius

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams structure and standardize technical interviews by providing a reusable guide with a clear rubric and an evaluation template, reducing interview drift and bias.

Core Features & Use Cases

  • Role context: identify the competencies the role actually needs and pull from JD or conversation.
  • Competency areas: group questions by area (e.g. system design, language depth, AI-in-SDLC, collaboration).
  • Calibrated questions: per area, 2–4 questions ordered easy → hard, with model answers and red flags.
  • Scoring rubric: 1–5 per competency with anchored descriptions for 1, 3, and 5.
  • Evaluation template: a fill-in block for scores, evidence notes, and overall recommendation (Strong Hire / Hire / No Hire).

If the audience is mixed (engineers AND architects), produce two question tracks; architects get more design/tradeoff/governance depth, engineers get more hands-on/implementation depth. Output Markdown only.

Quick Start

Provide the role context and audience and generate the interview guide with two tracks.

Frequently Asked Questions about interview-guide

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a structured technical interview guide with a scoring rubric?

To create a structured technical interview guide with a scoring rubric, define role context and competency areas, then generate calibrated questions with model answers, red flags, and a 1-5 anchored scoring system. This standardizes evaluation and reduces interview bias and drift.

What's the best way to evaluate both engineers and architects in a mixed technical interview?

Evaluating both engineers and architects in a mixed technical interview requires producing two distinct question tracks. Architects receive questions focused on design, tradeoffs, and governance depth, while engineers encounter questions centered on hands-on implementation and practical coding depth.

How do you calibrate technical interview questions to prevent hiring bias?

Calibrating technical interview questions to prevent hiring bias involves grouping questions by competency area, ordering them from easy to hard, and attaching specific model answers and red flags. Applying a 1-5 anchored scoring rubric per competency ensures standardized, objective candidate evaluation.

What should be included in a technical interview evaluation template?

A technical interview evaluation template should include fill-in blocks for competency scores, evidence notes from candidate responses, and an overall hiring recommendation. Using a standardized Markdown format makes the evaluation template suitable for team discovery and onboarding.

Can I generate an interview guide for specific technical competencies like system design and AI-in-SDLC?

You can generate an interview guide for specific technical competencies like system design, language depth, and AI-in-SDLC by providing the role context. The guide groups 2-4 calibrated questions per area, ordered easy to hard, complete with model answers and performance red flags.

What are the limitations of using a standardized rubric for technical hiring?

A limitation of using a standardized rubric for technical hiring is that anchored 1-5 scoring descriptions may not capture highly nuanced or unconventional candidate responses. While it effectively reduces interview drift, evaluators must still document detailed evidence notes to justify scores.