Skills › Knowledge Work Plugins › comp-analysis

comp-analysis

skill · 92 lines · Apache-2.0 · human-resources/skills/comp-analysis/SKILL.md

The facts

Its description

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.

The description the agent reads to decide when to use it.

From its settingsline 3

When it starts

Someone asks a pay question — what to pay for a role, whether an offer is competitive, how an equity grant models out — or hands over comp data (a CSV or pasted bands) to be checked for placement, outliers, and retention risk. The description is all about compensation benchmarking, band placement, and equity modeling, so a conversation about salary, offers, or equity grants is what pulls it in.

Things a person might say (the model's guesses)

“What should we pay a Senior Software Engineer in SF?”
“Is this offer competitive for a product manager in Austin?”
“Here's our comp band CSV — can you find the outliers and retention risks?”

A model's summary of when it is used.

A model's reading

What it takes when started

<role, level, or dataset>

What to type after its name when you start it.

From its settingsline 4

Licence

Apache-2.0, from LICENSE

The terms its author shares it under, which let it be shown here.

From the repositorylicence text

The text

Uses an outside tool

Open on GitHub

Most marks come from matching words in the file, so treat them as pointers.

1---

2name: comp-analysis

3description: 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.

4argument-hint: "<role, level, or dataset>"

5---

7# /comp-analysis

9> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md).

11Analyze compensation data for benchmarking, band placement, and planning. Helps benchmark compensation against market data for hiring, retention, and equity planning.

/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.

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Boilerplate, lines 13 to 18. The same text appears in 24 other files here. Close

13## Usage

15```

16/comp-analysis $ARGUMENTS

17```

19## What I Need From You

21**Option A: Single role analysis**

22"What should we pay a Senior Software Engineer in SF?"

24**Option B: Upload comp data**

25Upload a CSV or paste your comp bands. I'll analyze placement, identify outliers, and compare to market.

27**Option C: Equity modeling**

28"Model a refresh grant of 10K shares over 4 years at a $50 stock price."

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."

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30## Compensation Framework

Compensation Framework

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32### Components of Total Compensation

33- **Base salary**: Cash compensation

34- **Equity**: RSUs, stock options, or other equity

35- **Bonus**: Annual target bonus, signing bonus

36- **Benefits**: Health, retirement, perks (harder to quantify)

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)

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38### Key Variables

39- **Role**: Function and specialization

40- **Level**: IC levels, management levels

41- **Location**: Geographic pay adjustments

42- **Company stage**: Startup vs. growth vs. public

43- **Industry**: Tech vs. finance vs. healthcare

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

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45### Data Sources

46- **With ~~compensation data**: Pull verified benchmarks

47- **Without**: Use web research, public salary data, and user-provided context

48- Always note data freshness and source limitations

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

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Uses an outside tool ~~compensation :46

50## Output

52Provide percentile bands (25th, 50th, 75th, 90th) for base, equity, and total comp. Include location adjustments and company-stage context.

54```markdown

55## Compensation Analysis: [Role/Scope]

57### Market Benchmarks

59|------------|------|--------|------------|

60| 25th | $[X] | $[X] | $[X] |

61| 50th | $[X] | $[X] | $[X] |

62| 75th | $[X] | $[X] | $[X] |

63| 90th | $[X] | $[X] | $[X] |

65**Sources:** [Web research, compensation data tools, or user-provided data]

67### Band Analysis (if data provided)

69|----------|-------------|----------|----------|----------|----------|

70| [Name] | $[X] | $[X] | $[X] | $[X] | [Below/At/Above] |

72### Recommendations

73- [Specific compensation recommendations]

74- [Equity considerations]

75- [Retention risks if applicable]

76```

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]

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78## If Connectors Available

80If **~~compensation data** is connected:

81- Pull verified market benchmarks by role, level, and location

82- Compare your bands against real-time market data

84If **~~HRIS** is connected:

85- Pull current employee comp data for band analysis

86- Identify outliers and retention risks automatically

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

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Uses an outside tool ~~compensation :80

88## Tips

901. **Location matters** — Always specify location for benchmarking. SF vs. Austin vs. London are very different.

912. **Total comp, not just base** — Include equity, bonus, and benefits for a complete picture.

923. **Keep data confidential** — Comp data is sensitive. Results stay in your conversation.

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.

Raw lines 88 to 92

From anthropics/knowledge-work-plugins at 2574e29, 2026-10-27. Skills read by DeepSeek V4.1 Flash on 2026-11-04. Summary and techniques by Claude Opus 5.5 on 2026-11-06.