
Dcf Model
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.
- install copies · 90 days. Times the install command was copied on this site in the last 90 days, bots filtered.
- 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-codeInstalls 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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