structuring-structured-equity-instruments

Designs structured equity with participating preferred, PIK dividends, conversion mechanics, and downside protection features. Use when structuring growth equity instruments, designing preference terms, or modeling structured returns.

11 stars

Best use case

structuring-structured-equity-instruments is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Designs structured equity with participating preferred, PIK dividends, conversion mechanics, and downside protection features. Use when structuring growth equity instruments, designing preference terms, or modeling structured returns.

Teams using structuring-structured-equity-instruments 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/structuring-structured-equity-instruments/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/capital/structuring-structured-equity-instruments/SKILL.md"

Manual Installation

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

How structuring-structured-equity-instruments Compares

Feature / Agentstructuring-structured-equity-instrumentsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Designs structured equity with participating preferred, PIK dividends, conversion mechanics, and downside protection features. Use when structuring growth equity instruments, designing preference terms, or modeling structured returns.

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

# Structuring Structured Equity Instruments

Designs structured equity instruments combining preferred equity features — participating preferred, PIK dividends, conversion mechanics, and downside protection — tailored to growth equity and late-stage investment contexts.

## When To Use

- Structuring a growth equity or expansion capital investment where straight common or simple preferred is insufficient
- Designing preference stacks with participating vs. non-participating features and cap structures
- Modeling PIK dividend accrual and its impact on effective ownership and exit returns
- Evaluating conversion mechanics (mandatory, optional, automatic) and their triggers
- Building downside protection via liquidation preferences, ratchets, or guaranteed minimum returns
- Comparing structured equity alternatives against convertible notes, SAFEs, or mezzanine debt

## Inputs To Gather

- **Deal parameters**: Investment amount, pre-money valuation, target ownership percentage, expected hold period
- **Company financials**: Current revenue, EBITDA, growth trajectory, existing cap table and prior preference stacks
- **Return targets**: Investor IRR/MOIC hurdles, fund mandate constraints (e.g., minimum 2.0x gross MOIC)
- **Governance requirements**: Board seats, consent rights, information rights, protective provisions sought
- **Exit assumptions**: Expected exit timing, likely exit modality (M&A, IPO, secondary), valuation range at exit
- **Existing instruments**: Any outstanding preferred series, convertible notes, warrants, or option pools that interact with the new instrument

## Workflow

1. **Define return profile and risk allocation**
   - Establish investor IRR/MOIC targets and acceptable downside scenarios
   - Identify which risks the structured instrument must address (valuation risk, dilution risk, timing risk, downside loss)
   - Determine whether the structure should optimize for downside protection, upside participation, or both

2. **Select core structural components**
   - **Liquidation preference**: Choose 1x non-participating, 1x participating (with or without cap), or multiple preference [VERIFY: check market norms for the specific deal stage and sector]
   - **Dividend mechanism**: Decide between cash-pay, PIK accrual, or cumulative/non-cumulative preferred dividend; set coupon rate (typically 6-12% for growth equity PIK)
   - **Conversion rights**: Define optional conversion ratio, automatic conversion triggers (e.g., IPO above a threshold valuation), and anti-dilution adjustment method (broad-based weighted average vs. full ratchet)
   - **Downside protection**: Structure minimum return guarantees, liquidation preference multiples, or ratchet mechanisms tied to performance milestones

3. **Model economic outcomes across scenarios**
   - Build a waterfall model showing distributions at 3-5 exit valuations (e.g., 0.5x, 1.0x, 2.0x, 3.0x, 5.0x entry valuation)
   - Calculate effective ownership and returns under both the as-converted and as-preferred paths at each scenario
   - Model PIK accrual over the hold period and its compounding effect on the preference stack
   - Identify the crossover point where conversion becomes economically rational versus holding preferred
   - Stress-test for dilution from future rounds, option pool expansion, and anti-dilution triggers

4. **Evaluate interaction with existing cap table**
   - Map pari passu vs. senior/junior ranking relative to existing preferred series
   - Assess pay-to-play provisions, drag-along/tag-along rights, and their interaction with the new instrument
   - Confirm that the aggregate preference stack does not create a scenario where common holders (including management) receive insufficient exit proceeds to maintain incentive alignment

5. **Draft term summary and sensitivity analysis**
   - Produce a structured term sheet summary of all economic and governance terms
   - Include a sensitivity table showing investor MOIC/IRR across exit valuation and timing permutations
   - Flag areas where terms deviate from market standards or where founder pushback is likely

## Output

Deliver a structured equity instrument report containing:

- **Executive summary**: Investment thesis, instrument type selected, and headline economics (entry valuation, ownership, target returns)
- **Term structure table**: Liquidation preference, dividend rate/type, conversion mechanics, anti-dilution provisions, participation features with caps if applicable
- **Waterfall analysis**: Distribution waterfall at multiple exit valuations showing proceeds to each stakeholder class
- **Scenario matrix**: MOIC and IRR sensitivity across exit valuation (rows) and hold period (columns)
- **Crossover analysis**: Identification of the valuation at which conversion becomes optimal relative to holding preferred
- **Cap table impact**: Pro forma cap table showing pre- and post-investment ownership on both as-issued and as-converted bases
- **Key risk factors**: Identified structural risks (e.g., preference stack overhang, misaligned incentives, anti-dilution triggers)
- **Recommended terms**: Final recommended structure with rationale for each component choice

## Quality Checks

- Waterfall distributions sum to 100% of exit proceeds at every modeled scenario
- PIK accrual calculations use correct compounding (typically quarterly or semi-annual) and match stated coupon rate
- Conversion ratios and anti-dilution adjustments are mathematically consistent with stated formulas
- Participation cap, if any, is applied correctly — investor receives the lesser of (participation proceeds) and (cap amount) before converting
- As-converted ownership percentages reconcile to the cap table and reflect all dilutive instruments (options, warrants, convertibles)
- All jurisdiction-dependent terms (e.g., corporate law governing preferred stock rights, tax treatment of PIK dividends) are marked with [VERIFY]
- Scenario analysis covers both base case and stress cases, including a down-round and a flat exit
- Terms are benchmarked against current market norms for comparable deal stage and sector [VERIFY: market data recency]

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