
comp-analysis
Analyze compensation — benchmarking, band placement, and equity modeling
by anthropicsFree
Description
comp-analysis is a command from Anthropic's knowledge-work plugins, listed on skills.sh. It analyses compensation for benchmarking, band placement and planning, using market data. It helps with hiring, retention and equity planning, and it answers questions such as what the company should pay a given role, or whether an offer is competitive. It can work on a single role, for example a senior software engineer in a named city, or on uploaded compensation data, such as a CSV or pasted bands. For uploaded data, it analyses where each person sits in their band, identifies outliers, and compares the bands with the market. It suits HR and people leaders who need to set pay ranges or check an offer, and who want the comparisons shown with the data behind them. A connectors guide explains the placeholders and which tools are connected.…
Highlights
- Benchmarking against market data
- Band placement and outlier detection
- Single role or uploaded CSV analysis
- Equity modelling
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comp-analysis FAQ
What does comp-analysis do?
It benchmarks compensation, checks band placement and helps with equity modelling for hiring, retention and planning.
How do I install it?
Run: npx skills add https://github.com/anthropics/knowledge-work-plugins --skill comp-analysis
Can I ask about one role?
Yes. For example, what to pay a senior software engineer in a given city.
Can I upload pay data?
Yes. A CSV or pasted pay bands can be analysed for placement and outliers.
Has it been checked for security?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
What are the best comp-analysis alternatives?
Popular alternatives to comp-analysis include benchmark-optimization-loop, people-report and performance-review. See all comp-analysis alternatives



