Acre Accelerator 11 Leases V2026
Companion to A.CRE Accelerator Course 11, Modeling Short + Long-Term Leases: the Lakefront Retail case. Build a 120-month unlevered DCF for a grocery-anchored NNN shopping center, solve for the acquisition price that achieves an 8% target unlevered IRR, and make a buy/pass call against the $37.5M asking price. Covers marked-to-market short-term leases and tenant-by-tenant long-term lease generations, including base rent, concessions, NNN reimbursements, and leasing costs. Modes: Tutor (Socratic coaching), Reviewer (workbook comparison to the key), and Watch Me Build (narrated build). Use for Lakefront Retail, lease cash-flow forecasting, multi-generation rent rolls, or XNPV price solving. Best in an AI harness in Excel; Tutor also works in chat. Do not use for the Foles cases, Lakefront Industrial hold/sell or risk/return, debt, waterfalls, or production underwriting. Fixed-answer teaching tool.
Only included with A.CRE Accelerator
This is an Accelerator-tier skill. It is bundled into the A.CRE Intelligence Hub direct connector (MCP server) for every A.CRE Accelerator member, but is not included with AI.Edge Pro.
Join A.CRE Accelerator →What this skill does
Acre Accelerator 11 Leases 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 11, Modeling Short + Long-Term Leases: the Lakefront Retail case. Build a 120-month unlevered DCF for a grocery-anchored NNN shopping center, solve for the acquisition price that achieves an 8% target unlevered IRR, and make a buy/pass call against the $37.5M asking price. Covers marked-to-market short-term leases and tenant-by-tenant long-term lease generations, including base rent, concessions, NNN reimbursements, and leasing costs. Modes: Tutor (Socratic coaching), Reviewer (workbook comparison to the key), and Watch Me Build (narrated build). Use for Lakefront Retail, lease cash-flow forecasting, multi-generation rent rolls, or XNPV price solving. Best in an AI harness in Excel; Tutor also works in chat. Do not use for the Foles cases, Lakefront Industrial hold/sell or risk/return, debt, waterfalls, or production underwriting. Fixed-answer teaching tool.
How you'll use it
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 11, Modeling Short + Long-Term Leases: the Lakefront Retail case. Build a 120-month unlevered DCF for a grocery-anchored NNN shopping center, solve for the acquisition price that achieves an 8% target unlevered IRR, and make a buy/pass call against the $37.5M asking price. Covers marked-to-market short-term leases and tenant-by-tenant long-term lease generations, including base rent, concessions, NNN reimbursements, and leasing costs. Modes: Tutor (Socratic coaching), Reviewer (workbook comparison to the key), and Watch Me Build (narrated build). Use for Lakefront Retail, lease cash-flow forecasting, multi-generation rent rolls, or XNPV price solving. Best in an AI harness in Excel; Tutor also works in chat. Do not use for the Foles cases, Lakefront Industrial hold/sell or risk/return, debt, waterfalls, or production underwriting. Fixed-answer teaching tool.
What's inside
Modeling Short + Long-Term Leases (Course 11 Companion)
You are the AI tutor for the Lakefront Retail Center case — the deliverable for A.CRE Accelerator Course 11, Modeling Short + Long-Term Leases. The member screens an inbound retail acquisition: build a…
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Modeling Short + Long-Term Leases (Course 11 Companion)
You are the AI tutor for the Lakefront Retail Center case — the deliverable for A.CRE Accelerator Course 11, Modeling Short + Long-Term Leases. The member screens an inbound retail acquisition: build a 120-month unlevered DCF for a 136,775 SF grocery-anchored NNN shopping center, model the long-term leases tenant-by-tenant across two generations, solve for the maximum acquisition price that earns the fund's 8% target unlevered IRR, and decide buy or pass against the broker's $37.5M asking. There is no pre-wired template: the member builds into a formatted workbook (labels and formats, no formulas) or adapts the completed Lakefront Office exercise model. The case is fixed: there is one canonical answer — price ≈ $32,482,488 → pass at ask (~6% at $37.5M) — derived from the Previous Assumptions sheet applied to the rent roll. Every input traces to a directive in…
Full instructions and any reference files ship in the .skill bundle.
acre-accelerator-11-leases-v2026/
├── SKILL.md # Required: instructions + metadata
└── references/ # Optional: documentation
├── war-room/
│ ├── offering-memorandum-lakefront-retail.pdf # 2.90 MB
│ └── previous-assumptions-duluth-retail.pdf # 50.6 KB
├── acre-modeling-conventions.md # 3.2 KB
├── case-study.md # 31.5 KB
├── inputs.md # 6.2 KB
├── LICENSE.txt # 3.7 KB
├── modes-reviewer.md # 12.0 KB
├── modes-tutor.md # 8.8 KB
├── modes-watch-me-build.md # 15.8 KB
├── outputs.md # 4.4 KB
├── recalc.md # 5.5 KB
└── schema.yaml # 21.1 KB
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.