---
id: daily-comp-analysis
name: "comp-analysis"
url: https://skills.yangsir.net/skill/daily-comp-analysis
author: anthropics
domain: hr
tags: ["compensation", "data-analysis", "hr-strategy", "talent-management", "financial-analysis"]
install_count: 1200
rating: 4.30 (20 reviews)
github: https://github.com/anthropics/knowledge-work-plugins
---

# comp-analysis

> 分析薪酬数据并进行市场对标、职级带宽评估和新员工薪酬建议，支持数据驱动的薪酬决策

**Stats**: 1,200 installs · 4.3/5 (20 reviews)

## Before / After 对比

### 薪酬分析

**Before**:

HR手动收集市场薪酬数据、在Excel中进行数据清洗和对标分析、计算职级带宽，一份完整的薪酬分析报告需要2-3天，容易出错

**After**:

导入薪酬数据和市场基准，自动生成对标分析、带宽评估和新员工薪酬建议，包含可视化图表和风险提示，2小时完成全面分析

| Metric | Before | After | Change |
|---|---|---|---|
| 分析时间 | 48小时 | 2小时 | -96% |
| 数据准确性 | 75% | 98% | +31% |

## Readme

# comp-analysis

# /comp-analysis

If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](https://github.com/anthropics/knowledge-work-plugins/blob/HEAD/human-resources/skills/comp-analysis/../../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)

### 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.

```
## 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.

Weekly Installs310Repository[anthropics/know…-plugins](https://github.com/anthropics/knowledge-work-plugins)GitHub Stars10.6KFirst SeenMar 13, 2026Security Audits[Gen Agent Trust HubPass](/anthropics/knowledge-work-plugins/comp-analysis/security/agent-trust-hub)[SocketPass](/anthropics/knowledge-work-plugins/comp-analysis/security/socket)[SnykWarn](/anthropics/knowledge-work-plugins/comp-analysis/security/snyk)Installed oncodex297gemini-cli295opencode294cursor294github-copilot293amp293

---
*Source: https://skills.yangsir.net/skill/daily-comp-analysis*
*Markdown mirror: https://skills.yangsir.net/api/skill/daily-comp-analysis/markdown*