financial-analyst

Computes financial ratios, DCF valuation, budget variance, and revenue forecasts with Python scripts using standard libraries.

Updated Feb 27, 2026
One-click install
npx skills add https://github.com/amanhsn/flyerbuild --skill financial-analyst-amanhsn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: financial-analyst
Source: https://github.com/amanhsn/flyerbuild/tree/main/.cursor/skills/financial-analyst
Command: npx skills add https://github.com/amanhsn/flyerbuild --skill financial-analyst-amanhsn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill empowers users to perform complex financial analyses, from ratio calculations and valuation to budget variance and forecasting, enabling informed strategic decision-making.

Core Features & Use Cases

  • Financial Ratio Analysis: Calculate and interpret key ratios across profitability, liquidity, leverage, efficiency, and valuation.
  • DCF Valuation: Perform Discounted Cash Flow analysis for business valuation.
  • Budget Variance Analysis: Analyze actual vs. budget performance to identify key discrepancies.
  • Revenue Forecasting: Build driver-based revenue forecasts and rolling cash flow projections.
  • Use Case: A CFO can use this Skill to quickly assess the company's financial health by generating a comprehensive ratio report, understand deviations from the budget with a detailed variance analysis, and project future performance with scenario-based forecasts.

Quick Start

Use the financial-analyst skill to calculate all financial ratios for the provided financial data.

Frequently Asked Questions about financial-analyst

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

FAQPage Schema
How do I perform DCF valuation and financial ratio analysis on company data?

DCF valuation and financial ratio analysis are performed using Python scripts that compute profitability, liquidity, leverage, and efficiency metrics, alongside discounted cash flow models. The process requires standard financial data inputs to generate valuation outputs.

What is the best way to analyze budget variance and identify performance deviations?

Budget variance analysis is best executed through Python scripts that compare actual versus budgeted financial data. This approach identifies key discrepancies and performance deviations, providing actionable insights into financial health and operational efficiency.

Can I build driver-based revenue forecasting and rolling cash flow projections without external libraries?

Yes, driver-based revenue forecasting and rolling cash flow projections can be built using standard Python libraries. The scripts generate scenario-based forecasts and future performance projections without requiring external dependencies.

Does this financial analysis approach require any specific Python dependencies or external packages?

No specific Python dependencies or external packages are required. The financial analysis Skill utilizes standard libraries for all operations, including ratio computation, DCF modeling, variance analysis, and forecast generation.

How does budget variance analysis support strategic financial decision-making?

Budget variance analysis supports strategic decision-making by evaluating actual versus budget performance to pinpoint key discrepancies. This process reveals financial health insights and performance deviations, enabling management to adjust operational strategies.