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Part of Hire and Manage Technical Teams Across HR Domains

HR & Recruiting Blueprint

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Screen and Interview Candidates for Technical Roles

0June 2026

10 skills covering AI, backend, data, DevOps, frontend, fullstack, mobile, QA, security, and UI/UX engineering role evaluation and hiring.

What problem does this solve?

Provides AI-specific evaluation frameworks and interview guides for the 10 major engineering specializations so technical recruiters and hiring managers can assess candidates consistently without guessing whether a candidate's background fits the actual role requirements. Each skill explains the role's domain to non-technical recruiters, helps evaluate portfolios and GitHub profiles, and generates role-specific interview questions and scoring rubrics.

How does it work?

  1. Identify the engineering role you are hiring for (AI, Backend, Data, DevOps, Frontend, Fullstack, Mobile, QA, Security, or UI/UX). 2. Load the relevant skill into Claude. 3. Describe the candidate or portfolio to evaluate, or ask for help creating role-specific job descriptions and interview question sets. 4. Receive evaluation frameworks, interview scorecards, and guidance on what distinguishes junior, mid-level, and senior candidates in that domain. Output: job descriptions, candidate assessment reports, and interview question banks tailored to the specific engineering role and seniority level.

Included Skills

No skills in this group

What's required to run this?

Each skill is role-specific and operates independently. Install via 'cp -r skills/hr-{role} ~/.claude/skills/' or paste the SKILL.md content into Claude conversations. The 10 skills cover AI, Backend, Data, DevOps, Frontend, Fullstack, Mobile, QA, Security, and UI/UX domains.

Key Features

hr-ai

AI Engineering, Machine Learning, LLM Engineering, and AI Infrastructure role understanding and candidate evaluation

hr-backend

Backend engineering, APIs, databases, microservices, and cloud infrastructure role screening and skill assessment

hr-data

Data Engineering, Data Science, Analytics, and BI role evaluation and portfolio assessment

hr-devops

DevOps, SRE, Platform Engineering, and cloud infrastructure role understanding and skill expectations

hr-frontend

Frontend engineering, framework specialization, and modern web architecture role assessment

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