analyzing-financial-statements

Calculate and interpret key financial ratios from JSON or CSV data.

1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/kadurm/krmcorp --skill analyzing-financial-statements-kadurm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyzing-financial-statements
Source: https://github.com/kadurm/krmcorp/tree/main/references/claude-cookbooks-main/skills/custom_skills/analyzing-financial-statements
Command: npx skills add https://github.com/kadurm/krmcorp --skill analyzing-financial-statements-kadurm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates the calculation and interpretation of key financial ratios, enabling users to quickly assess a company's performance, liquidity, leverage, efficiency, and valuation.

Core Features & Use Cases

  • Comprehensive Ratio Calculation: Computes profitability, liquidity, leverage, efficiency, and valuation ratios.
  • Automated Interpretation: Provides industry-standard interpretations and benchmark comparisons.
  • Use Case: An investor can use this skill to analyze a company's financial health by providing its income statement and balance sheet, receiving a detailed report on its strengths and weaknesses.

Quick Start

Use the analyzing-financial-statements skill to calculate all key financial ratios from the provided income statement and balance sheet data.

Frequently Asked Questions about analyzing-financial-statements

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

FAQPage Schema
How do I calculate financial ratios from income statement and balance sheet data?

Financial analysis requires structuring income statement and balance sheet data into JSON or CSV formats to compute profitability, liquidity, leverage, efficiency, and valuation ratios accurately.

What financial ratios are needed to assess company performance and valuation?

Assessing company performance and valuation requires calculating key financial ratios across profitability, liquidity, leverage, efficiency, and valuation categories to evaluate overall financial health and benchmark against industry standards.

Can I use Python with pandas and numpy for financial statement analysis?

Yes, Python with pandas and numpy supports financial statement analysis by automating ratio calculations and interpretations from structured data inputs like CSV and JSON files.

How do I interpret financial ratios for investment analysis?

Interpreting financial ratios for investment analysis involves comparing calculated profitability, liquidity, leverage, and efficiency metrics against industry-standard benchmarks to identify company financial strengths and weaknesses.

What data format is required for automated ratio calculation?

Automated ratio calculation requires financial data in structured formats like JSON or CSV to ensure accurate metric computation and comparative analysis across income statement and balance sheet entries.

What is the best way to automate financial analysis for investment decisions?

Automating financial analysis for investment decisions is best achieved using Python scripts to calculate and interpret financial ratios from structured statements, generating detailed reports on company strengths and weaknesses.