dcf-modeler

Builds DCF models with terminal value, WACC calculation, sensitivity tables

509 stars

Best use case

dcf-modeler is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Builds DCF models with terminal value, WACC calculation, sensitivity tables

Teams using dcf-modeler should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/dcf-modeler/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/business/venture-capital/skills/dcf-modeler/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/dcf-modeler/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How dcf-modeler Compares

Feature / Agentdcf-modelerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Builds DCF models with terminal value, WACC calculation, sensitivity tables

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# DCF Modeler

## 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

1. DCF is supplementary for early-stage VC
2. Use realistic projections, not hockey sticks
3. Heavily weight terminal value sensitivities
4. Consider probability-weighted scenarios
5. Triangulate with VC method and comparables

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