Comp Analysis

作者 anthropicsae1513ea94dc无许可证27K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

Analyze compensation — benchmarking, band placement, and equity modeling. Trigger with "what should we pay a [role]", "is this offer competitive", "model this equity grant", or when uploading comp data to find outliers and retention risks.

精选仅含说明Business & Finance

AI 生成的概览

分析薪酬数据，用于市场对标、薪资带宽定位和股权授予建模。

功能: 该技能产出薪酬分析，涵盖市场对标、带宽定位和股权建模。它输出基本工资、股权和总薪酬的第25、50、75、90百分位区间，并包含地区调整和公司阶段背景。当提供员工数据时，它还会生成带宽分析表，显示每位员工相对于带宽下限、中位值和上限的位置，并给出建议和留任风险。
适用场景: 适用于确定某岗位薪酬、判断录用条件是否有竞争力、为股权授予或刷新建模，或审查上传的薪酬数据以发现异常值和留任风险。适合招聘、留任和薪酬规划相关问题。
运行要求: 仅为指令，不附带脚本。无需外部工具即可运行，使用网络调研、公开薪资数据和用户提供的背景信息；如可用，也可选用已连接的薪酬数据和HRIS来源。输入可以是岗位问题、CSV或粘贴的薪酬带宽，或股权授予参数。

/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

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)

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.

markdown

## 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]

## 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 Connectors Available

If ~~compensation data is connected:

Pull verified market benchmarks by role, level, and location
Compare your bands against real-time market data

If ~~HRIS is connected:

Pull current employee comp data for band analysis
Identify outliers and retention risks automatically

Tips

Location matters — Always specify location for benchmarking. SF vs. Austin vs. London are very different.
Total comp, not just base — Include equity, bonus, and benefits for a complete picture.
Keep data confidential — Comp data is sensitive. Results stay in your conversation.

来源与署名

来源：anthropics/knowledge-work-plugins位于human-resources/skills/comp-analysis提交ae1513e

许可证：无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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Comp Analysis

/comp-analysis

Usage

What I Need From You

Compensation Framework

Components of Total Compensation

Key Variables

Data Sources

Output

If Connectors Available

Tips

来源与署名

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