
Comp Analysis
Handles compensation benchmarking and equity modeling when you're trying to figure out what to pay someone or whether your current bands make sense. You can ask about specific roles ("what should we pay a Senior SWE in SF"), upload your comp data to spot outliers and retention risks, or model equity grants with vesting schedules. It pulls from connected compensation databases if you have them, otherwise falls back to web research and public salary data. The output is straightforward percentile tables (25th through 90th) broken down by base, equity, and total comp, plus recommendations. Useful for offer negotiations, annual reviews, or when someone on your team gets a competing offer and you need market context fast.
- skills.sh installs
- 2.9K
- GitHub stars
- 35.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add anthropics/knowledge-work-plugins --skill comp-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Files
/comp-analysis
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Analyze compensation data for benchmarking, band placement, and planning. Helps benchmark compensation against market data for hiring, retention, and equity planning.
Usage
/comp-analysis $ARGUMENTS
What I Need From You
Option A: Single role analysis "What should we pay a Senior Software Engineer in SF?"
Option B: Upload comp data Upload a CSV or paste your comp bands. I'll analyze placement, identify outliers, and compare to market.
Option C: Equity modeling "Model a refresh grant of 10K shares over 4 years at a $50 stock price."
Compensation 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)
Sponsors
Details
- Repository
- github.com/anthropics/knowledge-work-plugins
- First seen
- Apr 16, 2026
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