This builds full DCF valuation models in Excel with live formulas, not hardcoded numbers. It pulls financial data from SEC filings or user inputs, projects cash flows with proper WACC calculations, and generates sensitivity tables that actually recalculate across different assumption combinations. The skill is opinionated about doing this right: every projection must be a formula, you verify each section with the user before moving forward, and sensitivity tables use odd dimensions so the center cell shows your base case. It handles both Office.js environments and standalone Python/openpyxl generation. Honestly, the thoroughness here is what you'd want if you're building models for actual investment decisions rather than quick back-of-napkin estimates.

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7
skills.sh installs
2.6K
GitHub stars
41.2K
last updated
Aug 21, 2026

Install

$ npx -y skills add anthropics/financial-services --skill dcf-model --agent claude-code

Installs into .claude/skills of the current project.

Files

DCF Model Builder

Overview

This skill creates institutional-quality DCF models for equity valuation following investment banking standards. Each analysis produces a detailed Excel model (with sensitivity analysis included at the bottom of the DCF sheet).

Tools

  • Default to using all of the information provided by the user and MCP servers available for data sourcing.

Critical Constraints - Read These First

These constraints apply throughout all DCF model building. Review before starting:

Sponsors

Details

Repository
github.com/anthropics/financial-services
Categories
CLI & Terminal, Office & Documents, Finance & Trading
First seen
Jun 3, 2026

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