finance

Automate financial analysis tasks with Python standard-library CLI scripts.

1|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/stericishere/skills --skill finance-stericishere
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: finance
Source: https://github.com/stericishere/skills/tree/main/finance
Command: npx skills add https://github.com/stericishere/skills --skill finance-stericishere

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Finance skill automates core financial analysis tasks, enabling faster, more accurate budgeting, forecasting, and valuation across teams.

Core Features & Use Cases

  • Automated ratio analysis, DCF valuation, and budget variance reporting.
  • Rolling forecasts, driver-based revenue modeling, and 13-week cash flow planning.
  • SaaS metrics tracking (ARR, MRR, churn, CAC, LTV, NRR) for executive insights.

Quick Start

Load sample data and run a full variance analysis and rolling forecast with the included tools.

Frequently Asked Questions about finance

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

FAQPage Schema
How do I automate budget variance analysis and rolling forecasts?

Automate budget variance analysis and rolling forecasts by running Python CLI scripts that read JSON inputs and generate text or JSON outputs locally. This eliminates manual spreadsheet calculations and provides automated performance reporting for finance teams.

Can I run DCF valuation and SaaS metrics tracking without external API dependencies?

DCF valuation and SaaS metrics tracking run locally as Python standard-library CLI scripts without external API dependencies. They process JSON inputs to calculate metrics like ARR, MRR, churn, CAC, LTV, and NRR entirely offline.

What is the best way to structure input data for financial forecasting and ratio analysis?

Structure financial forecasting and ratio analysis input data as JSON files. The Python CLI scripts parse these JSON inputs to execute driver-based revenue modeling, 13-week cash flow planning, and automated ratio calculations.

Does this financial analysis toolkit support automated output formatting for executive reporting?

The financial analysis toolkit supports automated output formatting via the --format flag. Python CLI scripts generate both text and JSON outputs, streamlining executive insights and performance reporting directly from local computations.

Can I use these variance analysis and valuation scripts for 13-week cash flow planning?

You can use these scripts for 13-week cash flow planning, budget variance reporting, and DCF valuation. The Python standard-library tools process JSON inputs locally to deliver rolling forecasts and cash flow models.