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comp-analysisPurpose, usage and source

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.

Source retrieved:

Source repository
anthropics/knowledge-work-plugins
SKILL.md
human-resources/skills/comp-analysis/SKILL.md
Repository stars
34,049
Repository updated
2026-10-30
Categories
Data
Last collected

License: Apache-2.0

Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.

The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.

What this Skill does

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.

How the upstream workflow works

/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.

Upstream passage · L7 ↗

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.

Upstream passage · L19 ↗

Components of Total Compensation

Base salary: Cash compensation Equity: RSUs, stock options, or other equity

Upstream passage · L32 ↗
Upstream passage · ↗
/comp-analysis $ARGUMENTS

Requirements and setup

No short requirements passage was selected from this file. This does not mean the Skill has no dependencies. Check the repository setup instructions and referenced files.

Limits and quality checks

No separate limits passage was selected from this file. This does not mean the Skill is safe for every input or environment. Review the complete source and validate your own result.

Start with a safe trial

  1. Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
  2. Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
  3. Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
  4. Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.

Skill format and directory specification ↗

Read further in the source

Translation and scope

This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.

This introduction refers to the pinned version below; current repository activity and collection time are shown separately.

Source retrieved
Source commit
2574e29377c7173d0cecffef29a6ecbd7f8ccb5d
Source SHA-256
1af196cd1c38cdb96565eadebcf13fa25e979469b3e06f4791e18baa7f2534a6
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