financial-analyst

Analyze financial statements to generate ratio analyses, DCF valuations, and rolling forecasts.

1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/UnlimitedxIQ/consulting-pro-skills-pack --skill financial-analyst-unlimitedxiq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: financial-analyst
Source: https://github.com/UnlimitedxIQ/consulting-pro-skills-pack/tree/main/skills/financial-analyst
Command: npx skills add https://github.com/UnlimitedxIQ/consulting-pro-skills-pack --skill financial-analyst-unlimitedxiq

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Performs comprehensive financial analysis, enabling rapid generation of ratio analyses, DCF valuations, budget variance reviews, and rolling forecasts to support strategic decision-making and financial planning.

Core Features & Use Cases

  • Ratio analysis & benchmarking: Automates profitability, liquidity, leverage, efficiency, and valuation ratios from financial statements to support performance benchmarking.
  • DCF valuation modeling: Builds enterprise and equity value estimates with sensitivity analyses using standard financial assumptions.
  • Budget variance & forecasting: Analyzes actual vs budget variance, identifies material drivers, and constructs driver-based rolling forecasts.
  • Use Case: A FP&A analyst can load quarterly financial data to produce a full variance bridge, a DCF valuation, and a 12-month rolling forecast for board review.

Quick Start

Provide your financial data and ask for ratio analysis, valuation, variance review, or forecast generation.

Frequently Asked Questions about financial-analyst

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

FAQPage Schema
How do I build a DCF valuation model from financial statements?

Budget variance analysis compares actual financial outcomes against budgeted targets to identify material drivers. It calculates the deviation between planned and realized performance, highlighting specific operational or financial areas requiring management attention.

What is the best way to automate ratio analysis for corporate finance?

Generate rolling forecasts by loading quarterly financial data to construct driver-based projections for upcoming periods. This creates a 12-month forward-looking model that continuously updates predictions based on the latest actual results.

Do I need external Python libraries to run financial forecasting?

No external Python libraries are required because the financial forecasting and analysis models are implemented using the Python standard library. This eliminates dependency management and ensures financial calculations run in any standard environment.

Can I generate a full variance bridge and rolling forecast for board review?

Yes, an FP&A analyst can load quarterly financial data to produce a full variance bridge, a DCF valuation, and a 12-month rolling forecast. These outputs support strategic decision-making and comprehensive management reporting for board review.