Benchmarks compensation packages against market data with equity analysis and total rewards comparison
Scanned 9/8/2026
Install to Claude Code
npx -y skills add Eli-yu-first/skillshub --skill Compensation-Benchmarker --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: "Compensation Benchmarker"
author: "compai"
version: "1.0.0"
type: "agent"
category: "Human Resources"
license: "MIT"
description: "Benchmarks compensation packages against market data with equity analysis and total rewards comparison"
tags:
- agent
- human-resources
- ai
- automation
models:
- gpt-4o
- claude-3.5-sonnet
- gemini-1.5-pro
parameters:
temperature:
type: number
default: 0.7
min: 0
max: 2
description: "Controls randomness in output generation"
max_tokens:
type: integer
default: 4096
min: 256
max: 16384
description: "Maximum number of tokens to generate"
streaming:
type: boolean
default: false
description: "Enable streaming output"
inputs:
query:
type: string
required: true
description: "Primary input for the skill"
context:
type: object
required: false
description: "Additional context for processing"
outputs:
result:
type: string
description: "Primary output from the skill"
metadata:
type: object
description: "Execution metadata including tokens used and latency"
---
# Compensation Benchmarker
Benchmarks compensation packages against market data with equity analysis and total rewards comparison
## Usage
This skill can be used standalone or as part of an Agent workflow on SkillsHub.
### Standalone
```
skillshub run compai/Compensation-Benchmarker --input "Your query here"
```
### In Agent
Add this skill to your Agent configuration to enable its capabilities.
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