One-click install
npx skills add https://github.com/tuanductran/hr-skills --skill hr-data
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hr-data
Source: https://github.com/tuanductran/hr-skills/tree/main/skills/hr-data
Command: npx skills add https://github.com/tuanductran/hr-skills --skill hr-data

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

hr-data helps HR managers and recruiters understand modern data roles and ecosystems so they can assess candidates accurately instead of relying on buzzwords or tool checklists.

Core Features & Use Cases

  • Data-role clarity: Compare Data Analyst, BI Analyst, Data Engineer, Analytics Engineer, Data Scientist, ML Engineer, and AI Engineer in simple terms for non-technical audiences.
  • Hiring evaluation support: Create screening scorecards and data interview questions, and evaluate portfolios like dashboards, Kaggle projects, and GitHub repos.
  • Modern data ecosystem context: Explain pipelines, warehousing/lakehouses, governance, observability, and AI/LLM workflows in a 2026-oriented way.

Quick Start

Ask the hr-data skill to create a data-engineering candidate screening scorecard for a Senior Data Engineer role, including interview questions and what strong answers should demonstrate.

Frequently Asked Questions about hr-data

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

FAQPage Schema
What is the difference between a Data Engineer and an Analytics Engineer when screening candidates?

You can generate structured interview questions and screening scorecards for roles like Senior Data Engineer, Data Scientist, or ML Engineer. The Skill provides hiring artifacts that detail what strong candidate answers should demonstrate regarding pipelines, dashboards, and data governance.

How do I evaluate a data science candidate's GitHub portfolio for an interview?

Yes, the Skill explains modern data ecosystems, including data pipelines, warehousing, lakehouses, governance, and observability, in a 2026-oriented way. It translates these technical concepts into simple terms for non-technical audiences to improve recruiting accuracy.

How do I create a screening scorecard for an AI Engineer candidate?

To create a screening scorecard for an AI Engineer, request a role-specific evaluation framework from the Skill. It generates hiring artifacts with criteria covering AI and LLM workflows, allowing HR managers to accurately assess candidates beyond buzzwords.

Do I need technical knowledge to assess machine learning and data pipeline candidates?

No, you do not need technical knowledge because the Skill provides HR-friendly definitions and structured comparisons of data roles. It translates complex concepts like data pipelines, observability, and ML workflows into simple terms for non-technical recruiters.