comp-benchmarking

Solid

Analyze market compensation data and establish competitive pay structures

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 95/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Compensation Benchmarking Skill ## Overview The Compensation Benchmarking skill provides capabilities for analyzing market compensation data and establishing competitive pay structures. This skill enables market percentile positioning, salary range development, and compensation competitiveness monitoring. ## Capabilities ### Survey Data Analysis - Import and analyze salary survey data - Blend multiple survey sources - Age and trend data appropriately - Handle different data cuts - Validate data quality ### Market Positioning - Calculate market percentiles and positioning - Determine competitive positioning strategy - Analyze positioning by job family - Track positioning trends - Compare against target percentile ### Salary Range Development - Build salary range structures - Calculate range spread and midpoint - Design grade structures - Create multiple range types (broad, narrow) - Support geographic differentials ### Scenario Modeling - Model compensation scenarios and costs - Project budget impacts - Analyze merit increase scenarios - Model structure adjustments - Calculate cost of living impacts ### Reporting - Generate market pricing reports - Create competitiveness summaries - Build survey participation reports - Document market data sources - Track year-over-year trends ### Geographic Analysis - Create geographic pay differentials - Analyze location-based pay - Support remote work pay strategies - Map cost of labor differences - Handle multi-location structur...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills