pay-equity
Statistical analysis of compensation for equity and regulatory compliance
Best use case
pay-equity is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Statistical analysis of compensation for equity and regulatory compliance
Teams using pay-equity should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/pay-equity/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How pay-equity Compares
| Feature / Agent | pay-equity | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Statistical analysis of compensation for equity and regulatory compliance
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Pay Equity Analysis Skill
## 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
```javascript
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
```javascript
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:
| Process | Integration Points |
|---------|-------------------|
| pay-equity-analysis.js | Full analysis workflow |
| salary-benchmarking.js | Market data integration |
| grievance-handling.js | Individual 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
| Metric | Description | Target |
|--------|-------------|--------|
| Unadjusted Gap | Raw pay difference | Track and reduce |
| Adjusted Gap | Controlled pay difference | Not statistically significant |
| Remediation Completion | Identified gaps addressed | 100% |
| Trend Direction | Year-over-year gap change | Decreasing |
| Compliance Status | Regulatory requirement status | Compliant |
## Related Skills
- SK-012: Job Evaluation (job grouping)
- SK-013: Comp Benchmarking (market context)
- SK-022: Employment Compliance (legal guidance)Related Skills
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babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.
team-install
Install the team-pinned Babysitter Codex workspace setup.
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Summarize or retrospect on a completed Babysitter run.
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Resume an existing Babysitter run from Codex.
project-install
Install the Babysitter Codex workspace integration into the current project.
plan
Plan a Babysitter workflow without executing the run.
observe
Observe, inspect, or monitor a Babysitter run.
model
Inspect or change Babysitter model-routing policy by phase.
issue
Run an issue-centric Babysitter workflow.