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Benchmarks compensation for roles against market data, analyzes band placement and outliers from uploads, models equity grants for hiring and retention planning.
How this skill is triggered — by the user, by Claude, or both
Slash command
/human-resources:comp-analysis <role, level, or dataset><role, level, or dataset>The summary Claude sees in its skill listing — used to decide when to auto-load this skill
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md).
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.
/comp-analysis $ARGUMENTS
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."
Provide percentile bands (25th, 50th, 75th, 90th) for base, equity, and total comp. Include location adjustments and company-stage context.
## Compensation Analysis: [Role/Scope]
### Market Benchmarks
| Percentile | Base | Equity | Total Comp |
|------------|------|--------|------------|
| 25th | $[X] | $[X] | $[X] |
| 50th | $[X] | $[X] | $[X] |
| 75th | $[X] | $[X] | $[X] |
| 90th | $[X] | $[X] | $[X] |
**Sources:** [Web research, compensation data tools, or user-provided data]
### Band Analysis (if data provided)
| Employee | Current Base | Band Min | Band Mid | Band Max | Position |
|----------|-------------|----------|----------|----------|----------|
| [Name] | $[X] | $[X] | $[X] | $[X] | [Below/At/Above] |
### Recommendations
- [Specific compensation recommendations]
- [Equity considerations]
- [Retention risks if applicable]
If ~~compensation data is connected:
If ~~HRIS is connected:
npx claudepluginhub goldenberry-so/pace --plugin human-resourcesBenchmarks compensation for roles against market data, analyzes band placement and outliers from uploads, models equity grants for hiring and retention planning.
Builds or redesigns salary band structures, total rewards frameworks, and compensation philosophies using market data and job architecture.
Designs optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A.