Generate a multi-company comp sheet Excel workbook with eight quarters of financials and KPIs.
npx skills add https://github.com/daloopa/investing --skill comp-sheet
Please help me install this Agent Skill. Skill: comp-sheet Source: https://github.com/daloopa/investing/tree/main/.claude/skills/comp-sheet Command: npx skills add https://github.com/daloopa/investing --skill comp-sheet
Automates the creation of a cross-company KPI-driven comp sheet to streamline benchmarking, KPI tracking, and valuation analyses across peers.
Generate a multi-company industry comp sheet workbook for the specified ticker.
High-intent search queries and answers about installing and using this skill.
To build a comp sheet, this Skill automates peer selection and maps KPIs across multiple companies. It collects eight quarters of financials, KPI data, and market data, then renders a structured Excel workbook with tabs for growth, margins, KPIs, and valuation context.
A KPI-driven peer analysis workbook includes eight quarters of historical financials, segment details, operational KPIs, and market data. It structures this information across multiple Excel tabs to provide a comprehensive cross-company view for benchmarking and valuation.
Yes, you can automate cross-company benchmarking by using Python-based tooling to access financial data and render the Excel workbook. This eliminates manual data pulls by automatically collecting eight quarters of financials, KPIs, and market data for a specified ticker and its peers.
Python is used internally by the Skill's tooling to access data and render the Excel workbook following design system guidelines. You do not need to manually write Python code to generate the multi-company valuation comp sheets for your specified ticker.
The best way to compare operational KPIs is using a structured comp sheet workbook with dedicated KPI tabs. This approach automatically maps key operational metrics and segment details across peer companies over eight quarters, streamlining cross-company benchmarking.
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