dcf-model

Automates DCF model creation from SEC filings and MCP servers.

Updated May 9, 2026
One-click install
npx skills add https://github.com/mahyarmalekii/MarketIntel --skill dcf-model-mahyarmalekii
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dcf-model
Source: https://github.com/mahyarmalekii/MarketIntel/tree/main/backend/financial-services/plugins/vertical-plugins/financial-analysis/skills/dcf-model
Command: npx skills add https://github.com/mahyarmalekii/MarketIntel --skill dcf-model-mahyarmalekii

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of creating Discounted Cash Flow (DCF) models for equity valuation, saving time and reducing errors in financial analysis.

Core Features & Use Cases

  • DCF Modeling: Builds comprehensive DCF models following investment banking standards.
  • Data Sourcing: Retrieves financial data from SEC filings, analyst reports, and MCP servers.
  • Use Case: Use this Skill to value a company using DCF methodology, request intrinsic value analysis, or create detailed financial models with growth projections and terminal value calculations.

Quick Start

Run the dcf-model skill to generate a DCF model for the company 'ABC Corp'.

Frequently Asked Questions about dcf-model

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

FAQPage Schema
How do I automate DCF modeling for equity valuation using SEC filings?

You can automate DCF modeling by using a Skill that extracts financial data from SEC filings, calculates WACC, projects cash flows, and outputs a complete DCF model in Excel format.

What is the best way to build a DCF model with WACC and terminal value calculations?

The best way to build a DCF model with WACC and terminal value is to automate data extraction from SEC filings, apply standardized WACC calculations, and generate sensitivity analysis in an Excel output.

Do I need Python and openpyxl to generate Excel financial models from SEC data?

Yes, Python and openpyxl are required to generate Excel financial models, as openpyxl processes the Excel file operations needed to output the DCF model and executive summary.

Can I perform sensitivity analysis on cash flow projections for investment banking?

Yes, sensitivity analysis is performed on cash flow projections, generating multiple intrinsic value scenarios in the final Excel output suitable for investment banking analysis.

How does an automated DCF model extract financial data for intrinsic value analysis?

An automated DCF model extracts financial data by retrieving figures from SEC filings and MCP servers, then feeding that data into cash flow projections and WACC calculations for intrinsic value analysis.