hr-analytics

Analyze HR data to reveal workforce trends and turnover hotspots.

1|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/andershi666/lobehub-hr-demo --skill hr-analytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hr-analytics
Source: https://github.com/andershi666/lobehub-hr-demo/tree/main/li-hr-skill/hr-analytics
Command: npx skills add https://github.com/andershi666/lobehub-hr-demo --skill hr-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

HR data is often scattered across systems and requires manual effort to derive strategic insights. This Skill provides a structured approach to analyze turnover, recruitment effectiveness, and KPI performance, helping leaders make data-driven decisions.

Core Features & Use Cases

  • Turnover and attrition analysis by department, tenure, and role to identify at-risk groups
  • Recruitment efficiency tracking (time-to-fill, cost-per-hire) and KPI dashboards for management
  • Multi-dimensional HR reporting and scenario planning to support workforce decisions

Quick Start

Analyze your HR dataset to generate turnover insights and practical retention recommendations.

Frequently Asked Questions about hr-analytics

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

FAQPage Schema
How do I analyze employee turnover and identify attrition hotspots in my workforce data?

Track recruitment efficiency by calculating time-to-fill and cost-per-hire metrics from your hiring data. The analysis generates KPI dashboards that visualize recruitment effectiveness and support management reporting.

Can I generate HR reporting dashboards and KPI metrics for management across multiple dimensions?

Generate HR reporting dashboards by validating data quality and defining metrics for multi-dimensional analysis. This structured reporting supports workforce decisions and scenario planning across various departments.

What is the best way to validate data quality before running people analytics on scattered HR systems?

Validate data quality by applying a structured analysis approach that checks metric definitions and consistency before processing. This ensures your people analytics accurately reflects workforce trends and recruitment effectiveness.

Does this approach support scenario planning and actionable recommendations for workforce decisions?

This approach supports scenario planning by combining turnover analysis with recruitment tracking to produce clear, actionable recommendations. It helps leaders make data-driven decisions regarding retention and workforce optimization.