What problem does it solve?
Building reliable, auditable public-equity DCF valuations manually is time-consuming and prone to inconsistent assumptions, missing QA checks, and untraceable errors that undermine investment decisions. This Skill automates the end-to-end DCF workflow to produce decision-ready, source-provenance-tracked valuation workbooks.
Core Features & Use Cases
- Formula-First Banker Workbooks: Generates live-formula Excel DCF models with required tabs, source-to-cell provenance, and citation ledgers for full auditability.
- Built-In Validation & QA: Validates input plans, runs base/downside/upside scenarios, computes WACC, terminal value, and EV-to-equity bridges, and runs integrity checks to flag errors before delivery.
- Use Case: Ideal for equity analysts, portfolio managers, and investment teams building public-company valuations, screening stocks, or pressure-testing existing DCF models for investment committees.
Quick Start
Use the dcf-model-builder skill to generate a decision-ready DCF valuation workbook for a named public company from a validated plan.json with source-labeled assumptions.