comps-analysis

Automate comparable company analyses in Excel with openpyxl.

1|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/brittaniebuffiecsu/zerogravityclaw --skill comps-analysis-brittaniebuffiecsu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: comps-analysis
Source: https://github.com/brittaniebuffiecsu/zerogravityclaw/tree/main/src/hermes-core/optional-skills/finance/comps-analysis
Command: npx skills add https://github.com/brittaniebuffiecsu/zerogravityclaw --skill comps-analysis-brittaniebuffiecsu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, excel_author, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of building comparable company analyses in Excel, streamlining financial analysis and valuation tasks.

Core Features & Use Cases

  • Comparable Company Analysis: Generate detailed analyses with operating metrics, valuation multiples, and statistical benchmarking.
  • Integration with Excel: Leverages openpyxl to create and manipulate Excel files.
  • Use Case: Ideal for investment professionals looking to automate the valuation process for public companies, IPO pricing, or sector benchmarking.

Quick Start

Use the 'comps-analysis' skill to create a comparable company analysis for Company A and Company B using the provided financial data.

Frequently Asked Questions about comps-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate comparable company analysis in Excel?

You can automate comparable company analysis by using openpyxl to programmatically generate Excel files with operating metrics, valuation multiples, and statistical benchmarking, streamlining investment banking workflows.

What financial metrics are needed to build a comparable company analysis?

Building a comparable company analysis requires input financial data to calculate operating metrics, valuation multiples, and statistical benchmarking within structured Excel templates for sector benchmarking or IPO pricing.

Can I use openpyxl for financial modeling and valuation multiples?

Yes, openpyxl can create and manipulate Excel files for financial modeling, enabling you to structure valuation multiples and statistical benchmarking within automated comparable company analysis workflows.

Does Excel automation work for investment banking valuation workflows?

Excel automation fits investment banking valuation workflows by leveraging openpyxl to streamline comparable company analysis, generating detailed statistical benchmarking and valuation multiples for public companies.

What is the best way to generate statistical benchmarking for comparable companies?

The best way to generate statistical benchmarking is using Excel automation with openpyxl to structure input data into detailed valuation multiples and statistical analyses for comparable company analysis.

Are there limitations when using Excel automation for sector benchmarking?

Limitations include dependency on accurate input data and structured templates, as openpyxl-based Excel automation requires properly formatted financial metrics to successfully generate comparable company analysis outputs.