
Dcf Model
This builds institutional-grade DCF models that actually work in Excel, complete with sensitivity tables and proper formula propagation. It pulls data from SEC filings and MCP servers, constructs full cash flow projections with WACC calculations, and outputs models with all cells formula-driven rather than hardcoded values. The workflow is deliberately staged: you confirm historical inputs before projections, confirm projections before WACC, and so on, catching mistakes early instead of rebuilding everything at the end. The sensitivity tables use proper odd dimensions with highlighted base cases, and there's a recalc script to validate formulas before delivery. Good for equity research work where you need a defensible model, not just back-of-envelope math.
- skills.sh installs
- 1.1K
- GitHub stars
- 33.5K
- last updated
- Jul 14, 2026
Install
$ npx -y skills add anthropics/financial-services-plugins --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-plugins
- Category
- Finance & Trading
- First seen
- May 16, 2026
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