modeling-venture-fund-economics

Builds LP-level fund models with management fees, carried interest, clawback provisions, and waterfall distributions. Use when modeling fund economics, projecting LP returns, or analyzing fund terms.

11 stars

Best use case

modeling-venture-fund-economics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Builds LP-level fund models with management fees, carried interest, clawback provisions, and waterfall distributions. Use when modeling fund economics, projecting LP returns, or analyzing fund terms.

Teams using modeling-venture-fund-economics 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/modeling-venture-fund-economics/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/capital/modeling-venture-fund-economics/SKILL.md"

Manual Installation

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

How modeling-venture-fund-economics Compares

Feature / Agentmodeling-venture-fund-economicsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Builds LP-level fund models with management fees, carried interest, clawback provisions, and waterfall distributions. Use when modeling fund economics, projecting LP returns, or analyzing fund terms.

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

# Modeling Venture Fund Economics

Builds LP-level fund models projecting LP net returns through management fees, carried interest waterfalls, clawback mechanics, and portfolio-level cash flow timing.

## When To Use

- Modeling projected net returns for a new fund's LPA terms during fundraising
- Comparing GP economics across different fee/carry structures (e.g., 2/20 vs. 1.5/25 with a hurdle)
- Projecting LP cash flows (capital calls and distributions) over fund life
- Analyzing clawback exposure under various portfolio outcome scenarios
- Evaluating impact of fund-level vs. deal-by-deal carry on GP and LP economics
- Stress-testing fund returns under different deployment paces, hold periods, and exit multiples

## Inputs To Gather

- **Fund terms**: Fund size, GP commitment percentage, management fee rate and basis (committed vs. invested capital), fee step-down schedule, fund term and extension provisions
- **Carry structure**: Carried interest percentage, preferred return (hurdle rate), catch-up provision (full vs. partial), European vs. American waterfall [VERIFY: confirm LPA waterfall type]
- **Deployment assumptions**: Number of investments, average check size, deployment pace (years 1–4 typical), reserve ratio for follow-ons
- **Portfolio outcome assumptions**: Target gross MOIC range, distribution of outcomes (power-law vs. uniform), expected hold periods per investment, exit timing distribution
- **Recycling provisions**: Whether and to what extent realized proceeds can be redeployed before triggering distributions [VERIFY: check LPA recycling terms]
- **Fund expenses**: Organizational expenses cap, operating expenses, broken-deal costs

## Workflow

1. **Map the fee schedule** — Calculate annual management fees over the full fund life. Model the fee basis shift (committed capital during investment period → invested capital or NAV post-investment period). Apply any fee offsets from portfolio company monitoring/transaction fees. Compute total fee load as a percentage of committed capital.

2. **Build the deployment schedule** — Lay out capital calls by quarter or year across the investment period. Allocate between new investments and follow-on reserves. Track invested capital, unfunded commitments, and recycled capital at each period.

3. **Model portfolio outcomes** — Assign gross return multiples and exit timing to each investment (or investment cohort). For early-stage VC, apply a power-law distribution: ~50–65% write-offs/minimal returns, ~20–30% moderate (1–3x), ~5–10% outsized (5x+). Calculate gross proceeds per exit event.

4. **Run the waterfall** — Apply the distribution waterfall per LPA terms:
   - **Return of contributed capital** — LPs receive back their drawn capital (including fees and expenses, or net of fees, depending on LPA)
   - **Preferred return** — If applicable, compound the hurdle (typically 8% IRR) on LP contributions net of prior distributions
   - **GP catch-up** — If full catch-up, 100% to GP until carry split is achieved on cumulative profits; if partial (e.g., 50/50), split accordingly
   - **Carried interest split** — Remaining profits split per LPA (typically 80/20 LP/GP)
   - For American-style (deal-by-deal) waterfalls, run the waterfall per realization and track interim carry vs. escrow/holdback

5. **Calculate clawback exposure** — Model scenarios where early profitable exits generate carry, but later write-offs reduce aggregate fund returns below the hurdle. Quantify the GP's clawback obligation. Note whether the clawback is net-of-tax [VERIFY: confirm clawback tax gross-up provisions in LPA].

6. **Compute LP net metrics** — Calculate net MOIC, net IRR (using actual cash flow timing), DPI (distributions to paid-in), RVPI (residual value to paid-in), and TVPI at key intervals (end of investment period, year 7, year 10, final liquidation).

7. **Run sensitivity analysis** — Vary key assumptions across a matrix:
   - Gross MOIC: 1.5x / 2.0x / 2.5x / 3.0x
   - Deployment pace: 2-year vs. 4-year full deployment
   - Hold period: 4-year vs. 7-year average
   - Fee structure variations
   - Show net IRR and net MOIC under each scenario combination

## Output

- **Fee analysis table**: Annual management fees, cumulative fee load, fee drag on returns
- **Cash flow schedule**: Period-by-period capital calls and distributions for both LP and GP
- **Waterfall calculation**: Step-by-step distribution waterfall showing preferred return accrual, catch-up, and carry split
- **Return summary**: Net IRR, net MOIC, DPI, RVPI, TVPI at multiple time horizons
- **Sensitivity matrix**: Net returns across key variable ranges
- **GP economics summary**: Total management fees, total carried interest, GP net revenue under base and stress cases
- **Clawback analysis**: Scenarios triggering clawback, estimated GP obligation amounts

## Quality Checks

- Confirm that total LP distributions + remaining NAV + total fees + carry = total gross portfolio proceeds (cash-on-cash reconciliation)
- Verify the waterfall math: LP preferred return is fully satisfied before any carry flows to GP (European), or escrow/holdback is adequate (American)
- Check that net IRR calculation uses actual cash flow dates, not simplified annual periods
- Validate that management fee basis correctly shifts from committed to invested capital at the right trigger point
- Ensure GP commitment is included in LP-side economics only if GP co-invests alongside LPs (not fee-waiver-based)
- Confirm recycling does not exceed LPA-permitted limits [VERIFY: recycling cap percentage]
- Cross-check that power-law portfolio assumptions produce a reasonable gross MOIC (typically 2.0–3.5x for early-stage VC funds)
- Verify clawback calculation accounts for tax distributions and any net-of-tax provisions

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