comp-analysis

Analyze compensation data for benchmarking, band placement, and equity modeling.

Updated Aug 23, 2026

Search Tags:#benchmarking #compensation #hr #outlier-detection #equity-modeling #banding #salary-analysis

Ready to run

npx skills add https://github.com/mmahalwy/cooper --skill comp-analysis-mmahalwy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: comp-analysis
Source: https://github.com/mmahalwy/cooper/tree/main/.agents/skills/comp-analysis
Command: npx skills add https://github.com/mmahalwy/cooper --skill comp-analysis-mmahalwy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps people and teams make defensible compensation decisions by benchmarking pay, placing employees within bands, identifying outliers and retention risks, and modeling equity grants.

Core Features & Use Cases

Benchmarking by role, level, and location: Provide percentile bands (25th, 50th, 75th, 90th) for base, equity, and total compensation with location and company-stage context.
Band placement and outlier detection: Ingest internal band CSVs to show placement, highlight employees below or above band, and flag potential retention risks.
Equity modeling: Model grants, refreshes, and vesting scenarios to estimate value and dilution impacts for offers or refresh planning.

Quick Start

Use the comp-analysis command with a role and location or upload a CSV of comp bands to analyze placement, identify outliers, and model equity grants.

Frequently Asked Questions about comp-analysis

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

FAQPage Schema

How do I benchmark compensation by role and location?▼

To benchmark compensation, provide a role and location to receive percentile bands for base, equity, and total compensation adjusted by company stage. This Skill supports single-role queries or uploaded CSV datasets for broader salary analysis.

How do I detect salary outliers in internal band data?▼

Detect salary outliers by uploading an internal comp band CSV to see employee placement and highlight those above or below band. This Skill flags outliers in banded data and identifies potential retention risks for overpaid or underpaid employees.

Can I model equity grants and vesting scenarios for offers?▼

You can model equity grants, refreshes, and vesting scenarios to estimate value and dilution impacts for offers or refresh planning. This Skill processes equity modeling inputs to project total compensation scenarios and support grant decision-making.

What compensation data format do I need for band placement analysis?▼

Band placement analysis requires an uploaded CSV of internal comp bands to map employees to their respective ranges. This Skill ingests CSV datasets to show placement, highlight outliers, and perform location and company-stage adjustments.

Does this compensation analysis tool integrate with HRIS connectors?▼

This Skill integrates with compensation or HRIS connectors when available to pull data directly for band audits and equity modeling. Integration depends on your available HRIS connectors and compensation system configuration.

When should I use percentile bands for salary analysis?▼

Use percentile bands for salary analysis when checking offer competitiveness or conducting internal band audits. This Skill provides 25th, 50th, 75th, and 90th percentile bands for base, equity, and total comp to support defensible pay decisions.