structuring-debt-financing
Designs acquisition financing structures with leverage analysis, covenant negotiation, and capital structure optimization. Use when structuring deal financing, analyzing debt capacity, or negotiating loan terms.
Best use case
structuring-debt-financing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Designs acquisition financing structures with leverage analysis, covenant negotiation, and capital structure optimization. Use when structuring deal financing, analyzing debt capacity, or negotiating loan terms.
Teams using structuring-debt-financing 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/structuring-debt-financing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How structuring-debt-financing Compares
| Feature / Agent | structuring-debt-financing | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Designs acquisition financing structures with leverage analysis, covenant negotiation, and capital structure optimization. Use when structuring deal financing, analyzing debt capacity, or negotiating loan 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
# Structuring Debt Financing ## When To Use - Designing the debt component of an acquisition financing package (LBO, strategic M&A, take-private) - Evaluating a target's debt capacity and optimal leverage ratio prior to a bid - Negotiating term sheets or commitment letters with arranging banks - Comparing financing alternatives (bank debt vs. high-yield bonds vs. mezzanine vs. unitranche) - Stress-testing a proposed capital structure under downside operating scenarios - Advising on covenant packages and intercreditor arrangements ## Inputs To Gather - **Target financials**: 3–5 years of historical income statements, balance sheets, and cash flow statements; management projections or a base-case operating model - **Transaction details**: enterprise value, equity contribution, assumed purchase multiple, closing timeline, any rollover equity or seller notes - **Market context**: current benchmark rates (SOFR/Term SOFR), indicative spreads for comparable credits, recent comp financing packages in the sector - **Credit metrics**: target leverage (Total Debt / EBITDA, Senior / EBITDA), interest coverage (EBITDA / Interest, EBITDA − Capex / Debt Service), fixed charge coverage - **Sponsor/buyer requirements**: target equity IRR, minimum cash-on-cash return, dividend recapitalization flexibility, desired amortization schedule - **Regulatory or rating constraints**: any investment-grade rating targets, Basel III/IV capital treatment for bank lenders, industry-specific leverage caps [VERIFY: sector-specific regulatory leverage limits vary by jurisdiction and industry] ## Workflow 1. **Assess debt capacity** - Calculate sustainable leverage from normalized EBITDA (adjusting for one-time items, synergies, run-rate cost saves) - Benchmark against precedent transactions in the same sector and credit-rating cohort - Run a downside case (typically 15–25% EBITDA decline) to confirm debt serviceability through a cycle - Identify maximum total leverage and maximum senior-secured leverage the market will bear 2. **Design the capital structure** - Layer the debt stack: revolving credit facility, Term Loan A (amortizing), Term Loan B (institutional), second-lien, high-yield bonds, mezzanine/holdco PIK - Size each tranche based on market depth, pricing efficiency, and covenant flexibility trade-offs - Determine the revolver size by modeling seasonal working capital swings and contingency needs - Set amortization schedules; target 50%+ Term Loan A paydown by year 5 if investment-grade trajectory is desired - Evaluate call protection and prepayment premiums (especially on high-yield tranches) 3. **Model cash flows and credit metrics** - Build a detailed debt schedule with mandatory and optional amortization, cash sweeps, and excess cash flow recapture - Project leverage, coverage, and liquidity ratios through the hold period (typically 5–7 years) - Sensitivity-test key variables: revenue growth, margin compression, capex timing, working capital drift, interest rate movements - Calculate all-in cost of debt (weighted average coupon, OID, upfront fees, annual agency fees) 4. **Structure the covenant package** - Decide between maintenance covenants (tested quarterly) and incurrence covenants (tested only upon specified actions) - Draft key financial covenant levels: maximum leverage ratio, minimum interest coverage, maximum capex, minimum liquidity - Set covenant cushion (typically 15–25% headroom above projected performance) - Define baskets and carve-outs: permitted indebtedness, permitted liens, restricted payments, investments basket, asset sale proceeds reinvestment period - Address J-curve risk for platform acquisitions with add-back and EBITDA adjustment definitions [VERIFY: acceptable add-back caps vary by market and credit quality tier] 5. **Negotiate and finalize terms** - Prepare a sources & uses table and a term-sheet markup for lender discussions - Identify flex provisions in commitment letters (pricing flex, structure flex, market flex) - Evaluate syndication risk: hold levels for lead arrangers, target investor composition (CLOs, direct lenders, insurance companies) - Assess intercreditor mechanics for multi-tranche structures (payment waterfall, enforcement standstills, turnover provisions) - Confirm conditions precedent, representations, and MAC/MAE definitions ## Output The deliverable should include: - **Sources & Uses table** showing equity, each debt tranche, and transaction fees - **Pro forma capitalization table** with leverage and coverage metrics at close - **Debt schedule** projecting balances, interest expense, amortization, and credit metrics over the hold period - **Covenant compliance matrix** showing projected metric performance versus covenant thresholds with headroom percentages - **Sensitivity analysis** across EBITDA, interest rate, and exit multiple scenarios - **Financing alternatives comparison** summarizing pricing, covenants, flexibility, and execution risk for each option considered - **Key risk flags** and items requiring further diligence or lender negotiation ## Quality Checks - Verify that pro forma leverage and coverage ratios tie back to the operating model — no orphaned assumptions - Confirm interest rate assumptions reflect current market pricing; flag any stale benchmarks with [VERIFY] - Ensure the debt structure survives the downside case without triggering covenant breaches or liquidity shortfalls - Cross-check mandatory amortization totals against projected free cash flow to confirm no cash shortfall in any modeled period - Validate that all-in cost of debt calculation includes OID amortization, commitment fees on undrawn revolver, and ticking fees - Confirm intercreditor terms are internally consistent across the commitment letter, credit agreement summary, and intercreditor agreement summary - Flag any covenant definitions (e.g., Adjusted EBITDA, Consolidated Net Income) that deviate from market-standard language [VERIFY]
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