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Acre Accelerator 13 Debt V2026

Companion to A.CRE Accelerator Course 13 (Modeling Real Estate Debt) — Financing the Foles, the levered continuation of the Foles multifamily case. The member layers a permanent loan onto their 10-year unlevered DCF: sizing it by the lesser of LTV / DSCR / Debt Yield, building debt service and the loan payoff, then computing levered IRR, equity multiple, net profit, and the Year-10 DSCR and Debt Yield. Three modes — Tutor (Socratic coaching as you layer in the debt), Reviewer (reads your workbook, diffs against the answer key, then reveals it), Watch Me Build (AI builds the debt layer with narration). Use for Financing the Foles, loan sizing, DSCR / LTV / debt yield, amortization, loan payoff, or levered returns, or uploads of Financing-The-Foles_DCF-Template-2.xlsx. Best in Claude in Excel; Tutor also works in chat. Do NOT trigger for construction/development debt (Course 14), partnership waterfalls (Course 15), the unlevered DCF (Course 3), or production underwriting. Case answer is fixed; a teaching tool.

What this skill does

Acre Accelerator 13 Debt V2026 is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Companion to A.CRE Accelerator Course 13 (Modeling Real Estate Debt) — Financing the Foles, the levered continuation of the Foles multifamily case. The member layers a permanent loan onto their 10-year unlevered DCF: sizing it by the lesser of LTV / DSCR / Debt Yield, building debt service and the loan payoff, then computing levered IRR, equity multiple, net profit, and the Year-10 DSCR and Debt Yield. Three modes — Tutor (Socratic coaching as you layer in the debt), Reviewer (reads your workbook, diffs against the answer key, then reveals it), Watch Me Build (AI builds the debt layer with narration). Use for Financing the Foles, loan sizing, DSCR / LTV / debt yield, amortization, loan payoff, or levered returns, or uploads of Financing-The-Foles_DCF-Template-2.xlsx.

How you'll use it

"Use the Acre Accelerator 13 Debt V2026 skill"

Say something like this to your AI agent in the Hub, Claude, or ChatGPT to activate this skill.

Skill activation rules

Detailed routing logic, prompts the skill responds to, and operational guardrails as documented by the author.

Companion to A.CRE Accelerator Course 13 (Modeling Real Estate Debt) — Financing the Foles, the levered continuation of the Foles multifamily case. The member layers a permanent loan onto their 10-year unlevered DCF: sizing it by the lesser of LTV / DSCR / Debt Yield, building debt service and the loan payoff, then computing levered IRR, equity multiple, net profit, and the Year-10 DSCR and Debt Yield. Three modes — Tutor (Socratic coaching as you layer in the debt), Reviewer (reads your workbook, diffs against the answer key, then reveals it), Watch Me Build (AI builds the debt layer with narration). Use for Financing the Foles, loan sizing, DSCR / LTV / debt yield, amortization, loan payoff, or levered returns, or uploads of Financing-The-Foles_DCF-Template-2.xlsx. Best in Claude in Excel; Tutor also works in chat. Do NOT trigger for construction/development debt (Course 14), partnership waterfalls (Course 15), the unlevered DCF (Course 3), or production underwriting. Case answer is fixed; a teaching tool.

What's inside

Modeling Real Estate Debt (Course 13 Companion)

You are the AI tutor for Financing the Foles, the deliverable for the Modeling Real Estate Debt module of A.CRE Accelerator Course 13. The member takes the 10-year unlevered Foles DCF they already built (the course…

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Modeling Real Estate Debt (Course 13 Companion)

You are the AI tutor for Financing the Foles, the deliverable for the Modeling Real Estate Debt module of A.CRE Accelerator Course 13. The member takes the 10-year unlevered Foles DCF they already built (the course distributes it as Financing-The-Foles_DCF-Template-2.xlsx) and layers in a permanent loan — a loan-sizing block, a Loan Assumptions block, a debt-service row, a loan payoff at reversion, a Net Levered Cash Flow line, and the levered return metrics. The case study is fixed: there is one canonical answer, derived from the Fells Largo Bank loan terms applied to the Foles DCF. Every loan assumption traces to a directive in fells-largo-notes.pdf.

Because the member inserts rows into their own model, there is no fixed cell map to match — only canonical directives, canonical methodologies, and a canonical set of values. Correctness is judged on values + methodology, located by label, not cell address.

Full instructions and any reference files ship in the .skill bundle.

Bundle structure
acre-accelerator-13-debt-v2026/
├── SKILL.md                                         # Required: instructions + metadata
└── references/                                      # Optional: documentation
    ├── war-room/
    │   ├── fells-largo-notes.pdf                    # 132.9 KB
    │   └── Financing-The-Foles_DCF-Template-2.xlsx  # 26.6 KB
    ├── acre-modeling-conventions.md                 # 3.2 KB
    ├── case-study.md                                # 21.5 KB
    ├── inputs.md                                    # 4.1 KB
    ├── modes-reviewer.md                            # 10.1 KB
    ├── modes-tutor.md                               # 8.0 KB
    ├── modes-watch-me-build.md                      # 11.2 KB
    ├── outputs.md                                   # 5.7 KB
    └── recalc.md                                    # 5.5 KB

Who built it

Built by the A.CRE team

How to run it

Not in the Hub? Download the .skill bundle above and follow the A.CRE skills install guide → to load it into Claude Desktop, ChatGPT, Cursor, or any other agent that supports skills.

Already in the Hub. If you're an AI.Edge Pro or A.CRE Accelerator member, this skill is bundled into the A.CRE Intelligence Hub direct connector (MCP server) — just ask your agent.

About this skill

Proprietary A.CRE skill. © Adventures in CRE, LLC. Bundled into the A.CRE Intelligence Hub direct connector and available to AI.Edge Pro and A.CRE Accelerator members.