Comp Analysis

作者 anthropicsae1513ea94dc無授權條款27K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

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.

精選僅含說明Business & Finance

AI 產生的概覽

分析薪酬資料，用於市場對標、薪資帶定位與股權授予建模。

功能: 此技能產出薪酬分析，涵蓋市場對標、薪資帶定位與股權建模。它輸出底薪、股權與總薪酬的第25、50、75、90百分位區間，並包含地區調整與公司階段背景。當提供員工資料時，它也會產生薪資帶分析表，顯示每位員工相對於薪資帶下限、中位值與上限的位置，並提出建議與留任風險。
適用情境: 適用於決定某職位的薪酬、判斷錄用條件是否具競爭力、為股權授予或更新建模，或檢視上傳的薪酬資料以找出異常值與留任風險。適合招募、留任與薪酬規劃相關問題。
執行需求: 僅為指令，不隨附指令碼。無需外部工具即可執行，使用網路研究、公開薪資資料與使用者提供的背景資訊；若可用，也可選用已連接的薪酬資料與HRIS來源。輸入可以是職位問題、CSV或貼上的薪資帶，或股權授予參數。

/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.

來源與署名

來源：anthropics/knowledge-work-plugins位於human-resources/skills/comp-analysis提交ae1513e

授權條款：無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

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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

來源與署名

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Tax Prep

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Smb Router

Month End Prep

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