DCF Modeler
SkillAI & modelsBuilds DCF models with terminal value, WACC calculation, sensitivity tables
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 Modeler skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/venture-capital/skills/dcf-modeler/SKILL.md and read by ahel’s review.
Overview
The DCF Modeler skill builds Discounted Cash Flow valuation models for venture capital analysis. While DCF is less common for early-stage VC, it supports late-stage growth investments, exit analysis, and LP return modeling where cash flow projections are meaningful.
Capabilities
Cash Flow Projection
- Project operating cash flows
- Model capital expenditure requirements
- Estimate working capital changes
- Handle loss-making growth phase transitions
Discount Rate Calculation
- Calculate WACC for appropriate structures
- Apply venture-appropriate discount rates
- Adjust for stage and risk profile
- Model cost of equity with VC premiums
Terminal Value Estimation
- Calculate terminal value via exit multiple
- Apply perpetuity growth method
- Hybrid terminal value approaches
- Terminal value sanity checks
Sensitivity Analysis
- Build sensitivity tables
- Model key assumption impacts
- Calculate value driver sensitivities
- Create scenario matrices
Usage
Build DCF Model
Input: Financial projections, assumptions
Process: Build cash flow model, calculate value
Output: DCF valuation, model outputs
Calculate Discount Rate
Input: Company profile, capital structure
Process: Calculate appropriate discount rate
Output: WACC/discount rate, methodology notes
Estimate Terminal Value
Input: Terminal year financials, exit assumptions
Process: Calculate terminal value
Output: Terminal value, percentage of total value
Run Sensitivity Analysis
Input: Base case model, sensitivity parameters
Process: Calculate sensitivities across ranges
Output: Sensitivity tables, tornado charts
DCF Components
| Component | VC Considerations |
|---|---|
| Projection Period | 5-10 years to steady state |
| Discount Rate | 20-40%+ for early stage |
| Terminal Value | Often 60-80%+ of total value |
| Cash Flows | May be negative for years |
| Exit Multiple | Primary terminal method |
Integration Points
- DCF Analysis Process: Core modeling skill
- Financial Model Validator: Validate model inputs
- Multiple Calculator: Terminal value multiples
- Sensitivity Analyst (Agent): Support analysis
Discount Rate Considerations
| Stage | Typical Discount Rate |
|---|---|
| Seed | 40-60% |
| Series A | 35-50% |
| Series B | 30-40% |
| Growth | 20-30% |
| Late Stage | 15-25% |
Best Practices
- DCF is supplementary for early-stage VC
- Use realistic projections, not hockey sticks
- Heavily weight terminal value sensitivities
- Consider probability-weighted scenarios
- Triangulate with VC method and comparables
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
dcf-modeler- Source
- github.com/a5c-ai/babysitter