analyzing-unitranche-financing
Evaluates unitranche structures with first-out/last-out splits, blended pricing, and agreement among lenders provisions. Use when analyzing unitranche options, comparing unitranche vs traditional structures, or modeling blended costs.
Best use case
analyzing-unitranche-financing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Evaluates unitranche structures with first-out/last-out splits, blended pricing, and agreement among lenders provisions. Use when analyzing unitranche options, comparing unitranche vs traditional structures, or modeling blended costs.
Teams using analyzing-unitranche-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/analyzing-unitranche-financing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-unitranche-financing Compares
| Feature / Agent | analyzing-unitranche-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?
Evaluates unitranche structures with first-out/last-out splits, blended pricing, and agreement among lenders provisions. Use when analyzing unitranche options, comparing unitranche vs traditional structures, or modeling blended costs.
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
# Analyzing Unitranche Financing ## When To Use - Evaluating a unitranche proposal from a direct lender or club against a traditional first-lien/second-lien structure - Modeling blended cost of capital when the first-out/last-out waterfall split is known or estimated - Reviewing an Agreement Among Lenders (AAL) for intercreditor risk, voting mechanics, and enforcement triggers - Advising a sponsor or borrower on whether unitranche execution speed and certainty justify the pricing premium - Comparing unitranche terms across competing lender proposals in a competitive financing process ## Inputs To Gather - **Term sheet or commitment letter** — headline rate, OID, LIBOR/SOFR floor, maturity, call protection schedule - **First-out/last-out split details** — tranche sizes, respective coupons, and any disclosed or implied waterfall economics - **Agreement Among Lenders (AAL)** — voting thresholds, buy-out rights, cure rights, enforcement standstill periods, information-sharing restrictions - **Borrower financials** — LTM EBITDA, projected EBITDA, total leverage, interest coverage, free cash flow profile - **Comparable traditional structure** — first-lien and second-lien (or mezzanine) terms for the same credit to enable apples-to-apples comparison - **Market context** — current broadly syndicated loan spreads, direct lending benchmarks, and relevant recent precedent transactions ## Workflow 1. **Map the capital structure** — Identify total unitranche commitment, first-out and last-out tranche sizes, and any unfunded revolving component. Calculate first-out vs. last-out as percentages of total facility and implied attachment/detachment points. 2. **Calculate blended cost** — Compute the weighted-average coupon across the first-out and last-out tranches. Add OID amortization (spread over expected life, not stated maturity) and any upfront fees. Express as all-in yield to the borrower and compare to the blended cost of an equivalent first-lien/second-lien stack. 3. **Analyze the AAL** — Review critical provisions: - **Voting and amendment rights** — Which decisions require unanimous vs. first-out-only consent? Can the last-out lender block amendments to payment waterfall, maturity, or collateral release? - **Buy-out mechanics** — At what price and under what triggers can first-out or last-out purchase the other tranche? Is the buy-out at par, par plus accrued, or fair market value? - **Enforcement and standstill** — How long must the last-out lender wait before it can direct enforcement after an event of default? What cure rights does the sponsor retain? - **Information barriers** — Are there restrictions on sharing borrower information between agent and last-out holders? [VERIFY applicability of specific AAL form — LSTA vs. bespoke] 4. **Stress-test the waterfall** — Model downside scenarios (e.g., 20–30% EBITDA decline) to evaluate: - Whether the borrower can still service the blended unitranche coupon - How first-out recovery holds up relative to a standalone first-lien facility - At what EBITDA level the last-out tranche becomes functionally impaired - Impact of PIK toggles or cash-sweep mechanics if present 5. **Compare execution factors** — Beyond pricing, assess: - **Certainty of close** — Single lender or small club vs. syndication risk - **Speed** — Typical 2–4 week close for unitranche vs. 6–8 weeks for syndicated - **Documentation flexibility** — Covenant package, permitted baskets, incremental capacity - **Relationship dynamics** — Ongoing amendment and waiver process with one counterparty vs. a broad syndicate 6. **Synthesize recommendation** — Frame the unitranche option in terms of total cost of capital, execution risk, covenant flexibility, and structural complexity. Quantify the premium (if any) the borrower pays for unitranche simplicity. ## Output - **Structure summary table** — Side-by-side comparison: unitranche (with first-out/last-out breakdown) vs. traditional first-lien/second-lien, showing size, pricing, blended yield, maturity, and call protection - **Blended cost analysis** — All-in yield calculation with OID and fee amortization - **AAL risk assessment** — Key findings on voting, buy-out, standstill, and enforcement provisions with risk ratings (low/medium/high) - **Stress-test results** — Downside coverage ratios and recovery analysis at defined EBITDA shock levels - **Execution comparison** — Timeline, certainty, and flexibility trade-offs - **Recommendation narrative** — Clear statement of when unitranche is preferable and the quantified cost of that preference ## Quality Checks - Verify that blended coupon math reconciles — weighted-average of first-out and last-out rates must equal the stated borrower rate (within rounding) - Confirm OID is amortized over expected life (typically 3–4 years for leveraged credits), not stated maturity [VERIFY expected-life assumption against deal-specific prepayment expectations] - Ensure AAL analysis addresses all five core pillars: voting, buy-out, standstill, enforcement, and information rights - Check that the comparable traditional structure uses contemporaneous market pricing, not stale benchmarks [VERIFY spreads against current LSTA or LCD data] - Validate that stress scenarios use consistent EBITDA definitions (adjusted vs. unadjusted) across both structures - Confirm all-in cost comparison accounts for any differences in amortization schedules, mandatory prepayment sweeps, and call protection economics