Automate DCF valuation models in Excel with live formulas and sensitivity tables.
npx skills add https://github.com/heysuhas/hermes_cli --skill dcf-model-heysuhas
Please help me install this Agent Skill. Skill: dcf-model Source: https://github.com/heysuhas/hermes_cli/tree/main/optional-skills/finance/dcf-model Command: npx skills add https://github.com/heysuhas/hermes_cli --skill dcf-model-heysuhas
This skill automates the creation of complex, institutional-quality Discounted Cash Flow (DCF) valuation models, ensuring consistency, accuracy, and adherence to investment banking standards while eliminating manual spreadsheet errors.
Use the dcf-model skill to build a five-year valuation model for the company with ticker symbol AAPL using the base case scenario.
High-intent search queries and answers about installing and using this skill.
You can build a DCF valuation model in Excel with live formulas by automating revenue projections, free cash flow schedules, WACC, and terminal value calculations using Python-based recalculation scripts.
Yes, you can generate sensitivity tables for a discounted cash flow model. The skill programmatically creates 5x5 sensitivity tables to stress-test valuation against key assumptions like WACC and terminal growth.
openpyxl supports institutional-grade financial modeling by generating Excel models with scenario planning. It automates Bear, Base, and Bull case modeling with automated consolidation logic for investment banking workflows.
The best way to automate equity research valuations and eliminate manual spreadsheet errors is to use Python scripts that apply automated error validation while constructing institutional-quality DCF models.
Yes, you can source financial data and produce an audit-ready DCF model. You simply provide a ticker symbol like AAPL and specify a scenario to generate a comprehensive, professional five-year valuation model.
A key limitation when using Python to generate DCF models is the reliance on external dependencies. The skill requires both openpyxl and requests libraries to be installed to execute the financial modeling and data retrieval scripts.
atro2829-hubRetrieve financial market data, company fundamentals, and news for investment research.
nvmohinaniBuild DCF valuation models with WACC, terminal value, and sensitivity analysis.
koya-altGenerate .xlsx files with formatting, formulas, charts, and data validation using openpyxl or xlsxwriter.
hck717Construct valuation models and price targets using DCF, multiples, and scenario analysis.
