Pay Equity Analysis Skill

SkillDev tools

Statistical analysis of compensation for equity and regulatory compliance

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Pay Equity Analysis Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/human-resources/skills/pay-equity/SKILL.md and read by ahel’s review.

Overview

The Pay Equity Analysis skill provides capabilities for statistical analysis of compensation to identify and address pay disparities. This skill enables regression-based analysis, gap identification, remediation planning, and regulatory compliance reporting.

Capabilities

Regression Analysis

  • Perform regression-based pay equity analysis
  • Apply multiple regression methodologies
  • Control for legitimate pay factors
  • Handle multicollinearity issues
  • Support various model specifications

Gap Identification

  • Identify statistically significant pay gaps
  • Calculate adjusted and unadjusted pay gaps
  • Analyze gaps by protected class
  • Detect intersectional disparities
  • Quantify gap magnitudes

Remediation Planning

  • Generate remediation recommendations
  • Calculate remediation costs
  • Prioritize remediation approaches
  • Model remediation scenarios
  • Track remediation progress

Reporting

  • Create pay equity reports for leadership
  • Generate board-level summaries
  • Build compliance documentation
  • Support external reporting requirements
  • Maintain audit trails

Trend Monitoring

  • Monitor pay equity trends over time
  • Track gap closure progress
  • Alert on emerging disparities
  • Compare year-over-year results
  • Benchmark against industry

Compliance Support

  • Support regulatory compliance (EEOC, state laws)
  • Generate required reports
  • Document analysis methodology
  • Prepare for potential audits
  • Track legislative changes

Usage

Equity Analysis

const equityAnalysis = {
  population: {
    scope: 'full-company',
    excludeNew: true,
    newHireThreshold: 6
  },
  dependentVariable: 'base_salary',
  protectedClasses: ['gender', 'race_ethnicity', 'age'],
  legitimateFactors: [
    'job_level',
    'job_family',
    'years_experience',
    'tenure',
    'performance_rating',
    'location_tier'
  ],
  methodology: {
    type: 'multiple-regression',
    robustnessChecks: true,
    outlierTreatment: 'winsorize',
    significanceLevel: 0.05
  },
  intersectionality: {
    analyze: true,
    combinations: [['gender', 'race_ethnicity']]
  }
};

Remediation Model

const remediation = {
  analysis: 'equity-analysis-2026-01',
  approach: 'bring-to-predicted',
  constraints: {
    maxIndividualAdjustment: 10,
    totalBudget: 500000
  },
  prioritization: {
    method: 'largest-gap-first',
    protectedClassPriority: ['gender', 'race_ethnicity']
  },
  implementation: {
    timing: 'merit-cycle',
    communication: 'manager-led'
  }
};

Process Integration

This skill integrates with the following HR processes:

ProcessIntegration Points
pay-equity-analysis.jsFull analysis workflow
salary-benchmarking.jsMarket data integration
grievance-handling.jsIndividual equity concerns

Best Practices

  1. Regular Analysis: Conduct pay equity analysis at least annually
  2. Proactive Approach: Address gaps before they become complaints
  3. Consistent Methodology: Use defensible statistical methods
  4. Documentation: Document methodology and decisions
  5. Legal Review: Involve legal counsel in sensitive situations
  6. Holistic View: Consider total compensation, not just base

Metrics and KPIs

MetricDescriptionTarget
Unadjusted GapRaw pay differenceTrack and reduce
Adjusted GapControlled pay differenceNot statistically significant
Remediation CompletionIdentified gaps addressed100%
Trend DirectionYear-over-year gap changeDecreasing
Compliance StatusRegulatory requirement statusCompliant

Related Skills

  • SK-012: Job Evaluation (job grouping)
  • SK-013: Comp Benchmarking (market context)
  • SK-022: Employment Compliance (legal guidance)

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
pay-equity
Source
github.com/a5c-ai/babysitter