comp-analysis

Analyze compensation data to benchmark pay, bands, and equity modeling.

1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/cy-wali/knowledge --skill comp-analysis-cy-wali
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: comp-analysis
Source: https://github.com/cy-wali/knowledge/tree/main/human-resources/skills/comp-analysis
Command: npx skills add https://github.com/cy-wali/knowledge --skill comp-analysis-cy-wali

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze compensation data to benchmark pay, band placement, and equity modeling.

Core Features & Use Cases

  • Benchmark base salary, equity, and total compensation across markets and company stages.
  • Model retention and compensation scenarios for offers, promotions, and equity grants.
  • Compare against market data to identify outliers and inform salary discussions.

Quick Start

Provide a role, location, and optional dataset to generate percentile benchmarks for base, equity, and total compensation.

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 data across different company stages and locations?

Benchmark compensation by analyzing role and location inputs to generate percentile bands across company stages. The tool compares base salary, equity, and total pay against market data to identify outliers and inform salary discussions.

What is the best way to model equity and band placement for job offers?

Equity modeling and band placement are generated by analyzing compensation data inputs to produce 25th, 50th, 75th, and 90th percentile bands. This context informs retention scenarios, promotions, and equity grant optimizations.

Can I use raw salary data uploads to calculate percentile market benchmarks?

Raw salary data uploads can be used to calculate percentile market benchmarks. The analysis handles both raw data and user-provided benchmarks to generate base, equity, and total compensation percentiles with location context.

How do I analyze total compensation to identify market outliers?

Analyze total compensation by comparing base salary and equity against market data to identify outliers. Percentile bands highlight where pay falls relative to the 25th, 50th, 75th, and 90th percentiles for specific roles and locations.

Does this compensation analysis work for both base salary and equity modeling scenarios?

This compensation analysis works for both base salary and equity modeling scenarios. It applies to role-level benchmarking and data uploads across locations and company stages, producing percentile bands for comprehensive pay comparisons.

Why do I need location and company stage context for salary band placement?

Location and company stage context are required for salary band placement because compensation benchmarks vary significantly by market. Generating percentile bands with this context ensures accurate pay comparisons and optimized offer modeling.