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comp-analysis

Analyze compensation CSVs for market benchmarks, band outliers, and equity modeling.

23.4k|2.8k|Updated Jan 23, 2026
Search Tags:#benchmarking#compensation#hiring#HR#equity#salary bands
One-click install
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill comp-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: comp-analysis
Source: https://github.com/anthropics/knowledge-work-plugins/tree/main/human-resources/skills/comp-analysis
Command: npx skills add https://github.com/anthropics/knowledge-work-plugins --skill comp-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps analyze compensation data to ensure competitive benchmarking, accurate band placement, and informed equity modeling, reducing risks associated with under or overpaying talent.

Core Features & Use Cases

  • Market Benchmarking: Provides percentile bands (25th, 50th, 75th, 90th) for base salary, equity, and total compensation based on role, level, and location.
  • Band Analysis: Analyzes uploaded compensation data to identify outliers and retention risks by comparing current employee compensation against defined bands.
  • Equity Modeling: Models the value of equity grants over time based on grant size, vesting schedule, and stock price.
  • Use Case: A hiring manager needs to know the competitive salary range for a Senior Software Engineer in San Francisco. They can use this Skill to get market benchmarks and then use uploaded company data to see where the proposed offer falls within their internal bands.

Quick Start

What should we pay a Senior Software Engineer in SF?

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 for a specific role and location?▼

To benchmark compensation, this Skill analyzes market data to provide percentile bands (25th, 50th, 75th, 90th) for base salary, equity, and total compensation based on role, level, and location.

How do I identify outliers and retention risks in my company salary bands?▼

You can identify salary band outliers by uploading CSV files or pasting current compensation data, which the Skill analyzes against your defined bands to highlight retention risks.

Can I model equity grants based on vesting schedule and stock price?▼

Yes, you can model equity grants by analyzing value over time based on grant size, vesting schedule, and stock price to inform your equity planning.

What is the best way to check if a proposed offer falls within internal comp bands?▼

The best way to check a proposed offer is to generate market benchmarks for the role, then compare the offer against your uploaded company data to verify accurate band placement.

Does this compensation analysis tool work with pasted data or do I need a CSV file?▼

The compensation analysis tool works with both formats, allowing you to analyze uploaded CSVs or directly pasted comp bands to find outliers and retention risks.

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