comparable-company-analyzer
Public company comparable analysis skill with peer selection, multiple calculation, and football field visualization
npx skills add a5c-ai/babysitter --skill comparable-company-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Comparable Company Analyzer ## Overview The Comparable Company Analyzer skill provides comprehensive public company trading analysis capabilities. It enables peer universe selection, trading multiple calculation, and valuation benchmarking through systematic comparable analysis. ## Capabilities ### Peer Universe Selection - Industry classification screening - Size parameter filtering - Geographic focus alignment - Business model similarity - Growth profile matching - Margin profile comparison ### Trading Multiple Calculation - Enterprise value multiples (EV/EBITDA, EV/Revenue) - Price multiples (P/E, P/B, PEG) - Industry-specific metrics - Adjusted metrics calculation - Diluted share counts - Net debt calculation ### LTM and NTM Metric Normalization - Last twelve months calculation - Next twelve months estimates - Calendarization adjustments - Non-recurring item adjustment - Stock compensation normalization - Pro forma adjustments ### Outlier Identification - Statistical outlier detection - Interquartile range analysis - Company-specific explanation - Inclusion/exclusion rationale - Sensitivity to outliers - Documentation requirements ### Football Field Chart Generation - Multipl
- Overview
- Capabilities
- Peer Universe Selection
- Trading Multiple Calculation
- LTM and NTM Metric Normalization
- Outlier Identification
- Football Field Chart Generation
- Equity Value Bridge
- Usage
- Trading Comparables Analysis
- Relative Valuation
- Integration
- Used By Processes
- Tools and Libraries
What does the comparable-company-analyzer skill do?
Public company comparable analysis skill with peer selection, multiple calculation, and football field visualization
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill comparable-company-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.