C
compensation-benchmarking
About compensation-benchmarking
A skill for benchmarking compensation for hiring, retention, and equity planning. It frames comparisons by role, level, location, company stage, and industry, and calls for percentile bands with source freshness and limitations noted.
Key features
- 01Break down total compensation components
- 02Compare roles, levels, and locations
- 03Account for company stage and industry
- 04Use verified or public salary data
- 05Report percentile bands and data limits
Use cases
- 01Set compensation ranges for hiring
- 02Review pay for retention planning
- 03Compare equity and cash compensation
- 04Adjust benchmarks by location and company stage
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ anthropics/ knowledge-work-plugins --skill compensation-benchmarkingAfter installing, type/compensation-benchmarkingin Claude Code to confirm it loaded.
Details
From the project READMECompensation Benchmarking
Help benchmark compensation against market data for hiring, retention, and equity planning.
Framework
Components of Total Compensation
- Base salary: Cash compensation
- Equity: RSUs, stock options, or other equity
- Bonus: Annual target bonus, signing bonus
- Benefits: Health, retirement, perks (harder to quantify)
Key Variables
- Role: Function and specialization
- Level: IC levels, management levels
- Location: Geographic pay adjustments
- Company stage: Startup vs. growth vs. public
- Industry: Tech vs. finance vs. healthcare
Data Sources
- With ~~compensation data: Pull verified benchmarks
- Without: Use web research, public salary data, and user-provided context
- Always note data freshness and source limitations
Output
Provide percentile bands (25th, 50th, 75th, 90th) for base, equity, and total comp. Include location adjustments and company-stage context.
Comments
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