comp-analysis
- Repo stars 19,014
- Author repo knowledge-work-plugins
/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
/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.
- Fluxly category
- Data
- Author-declared agents
- No explicit declaration found; this is not inferred or tested compatibility
- Static check
- 88 / 100 · heuristic scan, not runtime safety proof
- Author / version / license
- @anthropics · no license declared
- Fluxly token estimate
- Lean
- Fluxly setup estimate
- Plug-and-play
- External API key
- No requirement detected
- Detected OS requirements
- Unspecified
- Runtime requirements
- Unspecified
- Detected file/system behavior
-
- Read-only
- Detected network behavior
- Local-only
- Install commands
- None (reference only)
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
The current SKILL.md does not define a fixed output example. Usage
Option A: Single role analysis "What should we pay a Senior Software Engineer in SF?" Option B: Upload comp data
Compensation Framework
Base salary: Cash compensation Equity: RSUs, stock options, or other equity Bonus: Annual target bonus, signing bonus
Role: Function and specialization Level: IC levels, management levels Location: Geographic pay adjustments
With ~~compensation data: Pull verified benchmarks Without: Use web research, public salary data, and user-provided context Always note data freshness and source limitations
# /comp-analysis
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../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.
```markdown
## Compensation Analysis: [Role/Scope]
### Market Benchmarks
| Percentile | Base | Equity | Total Comp |
|------------|------|--------|------------|
| 25th | $[X] | $[X] | $[X] |
| 50th | $[X] | $[X] | $[X] |
… Author text anchors workflow facts; Fluxly only indexes current sections, terms, files, and commands.
sections -> Usage → What I Need From You → Compensation Framework → Components of Total Compensation → Key Variables → Data Sources
terms -> Option A: Single role analysis · Option B: Upload comp data · Option C: Equity modeling · Base salary · Equity · Bonus · Benefits · Role
files/cmd -> CONNECTORS.md · ../../CONNECTORS.md · Role/Scope · Below/At/Above
body sha256 -> 5d1a317036c2
Decide Fit First
Design Intent
How To Use It
Boundaries And Review