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.