What HR metrics are supported?

It supports a wide range of workforce, performance, and engagement metrics including Turnover Rate, Time to Fill, Cost per Hire, eNPS, and Promotion Rates.

Can I perform pay equity audits with this skill?

Yes, the skill provides scripts for OLS regression analysis to identify pay gaps while controlling for legitimate factors like job level, location, and performance.

Does it include data privacy best practices?

Yes, it features a built-in data governance checklist and specific checkpoints to ensure data is anonymized and aggregated before analysis to comply with privacy policies.

How does this skill help with employee retention?

It includes a turnover prediction model using Python's Scikit-learn to score employees' flight risk based on variables like tenure, salary ratio, and engagement scores.

People Analytics & HR Insights

Name: People Analytics & HR Insights
Author: borghei

byborghei

•

数据科学与机器学习

Optimizes workforce management through data-driven insights, predictive attrition modeling, and automated HR metric analysis.

This skill transforms Claude into a senior people analytics partner, enabling organizations to translate complex workforce data into actionable business strategies. It provides specialized frameworks for calculating core HR metrics like turnover and retention, conducting pay equity audits using regression analysis, and building predictive models to identify flight risks. By bridging the gap between raw HRIS data and executive-level recommendations, it helps HR leaders improve employee engagement, optimize hiring costs, and ensure fair compensation practices through statistical validation and rigorous data governance best practices.

主要功能

01Automated calculation of core HR metrics including turnover, retention, and cost-per-hire.

0250 GitHub stars

03Pay equity analysis using controlled regression to audit compensation fairness.

04Engagement survey driver analysis to prioritize cultural and manager-level interventions.

05Predictive attrition modeling using machine learning to identify high-risk flight profiles.

06DEI metrics framework for tracking representation, progression, and inclusion across demographics.

使用场景

01Predicting which high-performing employees are likely to leave in the next six months to initiate retention plans.

02Conducting root-cause analysis on departmental turnover spikes to provide data-backed hiring recommendations.

03Auditing organization-wide compensation to identify and correct gender or ethnicity pay gaps.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add borghei/claude-skills people-analytics

For use in Claude.ai and ChatGPT

Download Skill