DCF Valuation Modeler
SkillAI & modelsDiscounted Cash Flow model builder for comprehensive company valuations with WACC calculation, terminal value estimation, and sensitivity analysis
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the DCF Valuation Modeler skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/finance-accounting/skills/dcf-valuation-modeler/SKILL.md and read by ahel’s review.
Overview
The DCF Valuation Modeler skill provides comprehensive Discounted Cash Flow analysis capabilities for company valuations. It combines free cash flow projections with weighted average cost of capital (WACC) calculations and terminal value estimation to produce robust enterprise valuations.
Capabilities
Free Cash Flow Projection
- Revenue and expense forecasting models
- Working capital requirement projections
- Capital expenditure modeling
- Depreciation and amortization schedules
- Tax effect calculations
- Unlevered free cash flow computation
WACC Calculation
- Cost of equity via Capital Asset Pricing Model (CAPM)
- Cost of debt determination with tax shield
- Capital structure weighting
- Beta estimation and adjustment
- Risk-free rate selection
- Equity risk premium calculation
Terminal Value Estimation
- Perpetuity growth method implementation
- Exit multiple methodology
- Terminal value reasonability checks
- Fade period modeling
- Long-term growth rate validation
Sensitivity Analysis
- Two-variable sensitivity tables
- Tornado chart generation
- Key driver identification
- Break-even analysis
- Scenario comparison matrices
Monte Carlo Simulation
- Probability distribution assignment
- Correlation matrix handling
- Convergence analysis
- Confidence interval generation
- Value at Risk integration
Multi-Scenario Analysis
- Base, bull, and bear case modeling
- Probability-weighted valuation
- Scenario documentation
- Assumption tracking
- Version control
Usage
Basic DCF Model
Input: Company financials, growth assumptions, discount rate parameters
Process: Project cash flows, calculate WACC, determine terminal value, discount to present
Output: Enterprise value, equity value per share, sensitivity analysis
Valuation with Scenarios
Input: Historical data, management guidance, market conditions
Process: Develop multiple scenarios, probability weight outcomes
Output: Probability-weighted valuation range with confidence intervals
Integration
Used By Processes
- Discounted Cash Flow (DCF) Valuation
- Capital Investment Appraisal
- M&A Financial Due Diligence
Tools and Libraries
- Excel/Python financial libraries
- numpy-financial
- scipy
- pandas for data manipulation
Best Practices
- Validate assumptions against historical performance
- Cross-check terminal value against comparable transactions
- Ensure WACC inputs are internally consistent
- Document all key assumptions and sources
- Perform sanity checks on implied multiples
- Consider stage-of-cycle adjustments
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
dcf-valuation-modeler- Source
- github.com/a5c-ai/babysitter
Related picks
Skill · wshobson
The pick for Pythonpython-pro
Skill · jeffallan
The pick for Pythonxlsx
Skill · anthropics
The pick for Excelrseng-notebooks
Skill · fdiblen
The pick for Notebooksexecute
Skill · brycewang-stanford
The pick for Notebookspandas-dataframe-analyzer
Skill · a5c-ai
The pick for Pandas