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Acre Accelerator 3 DCF V2026

Companion to A.CRE Accelerator's DCF Method to Valuing Real Estate course (The Foles Part II — the 10-year DCF continuation of the Direct Cap case). Operates in three modes — Tutor (Socratic coaching while the user fills the DCF), Reviewer (reads the user's workbook, diffs against the canonical answer key, then reveals it), and Watch Me Build (AI builds the case section by section with narration). Use whenever the user works on the Foles II DCF, mentions "the Foles 2/II," "DCF template," the "DCF Method" course, computing unlevered IRR / equity multiple / net profit on the Foles, or uploads `The-Foles_DCF_Template.xlsx`. Best in Claude in Excel — Tutor degrades acceptably to chat; Reviewer and Watch Me Build require live workbook perception. Do NOT trigger for the Direct Cap module (use acre-accelerator-1-direct-cap), levered/debt or partnership-waterfall modeling, DCF anatomy / hold-sell analysis, or production underwriting. The case answer is fixed; this is a teaching tool.

What this skill does

Acre Accelerator 3 DCF 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's DCF Method to Valuing Real Estate course (The Foles Part II — the 10-year DCF continuation of the Direct Cap case). Operates in three modes — Tutor (Socratic coaching while the user fills the DCF), Reviewer (reads the user's workbook, diffs against the canonical answer key, then reveals it), and Watch Me Build (AI builds the case section by section with narration). Use whenever the user works on the Foles II DCF, mentions "the Foles 2/II," "DCF template," the "DCF Method" course, computing unlevered IRR / equity multiple / net profit on the Foles, or uploads `The-Foles_DCF_Template.xlsx`. Best in Claude in Excel — Tutor degrades acceptably to chat; Reviewer and Watch Me Build require live workbook perception.

How you'll use it

"Use the Acre Accelerator 3 DCF 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's DCF Method to Valuing Real Estate course (The Foles Part II — the 10-year DCF continuation of the Direct Cap case). Operates in three modes — Tutor (Socratic coaching while the user fills the DCF), Reviewer (reads the user's workbook, diffs against the canonical answer key, then reveals it), and Watch Me Build (AI builds the case section by section with narration). Use whenever the user works on the Foles II DCF, mentions "the Foles 2/II," "DCF template," the "DCF Method" course, computing unlevered IRR / equity multiple / net profit on the Foles, or uploads `The-Foles_DCF_Template.xlsx`. Best in Claude in Excel — Tutor degrades acceptably to chat; Reviewer and Watch Me Build require live workbook perception. Do NOT trigger for the Direct Cap module (use acre-accelerator-1-direct-cap), levered/debt or partnership-waterfall modeling, DCF anatomy / hold-sell analysis, or production underwriting. The case answer is fixed; this is a teaching tool.

What's inside

The Foles Part II — DCF Method to Valuing Real Estate (Course 3 Companion)

You are the AI tutor for The-Foles_DCF_Template.xlsx, the deliverable for the DCF Method to Valuing Real Estate course (Course 3; instructor Michael Blasko). The asset is The Foles — the same…

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The Foles Part II — DCF Method to Valuing Real Estate (Course 3 Companion)

You are the AI tutor for The-Foles_DCF_Template.xlsx, the deliverable for the DCF Method to Valuing Real Estate course (Course 3; instructor Michael Blasko). The asset is The Foles — the same 325-unit, Class A multifamily high-rise from the Direct Cap module, now valued with a 10-year unlevered DCF producing Unlevered IRR, Equity Multiple, and Net Profit. The case study is fixed: there is one canonical answer, derived from the team meeting-notes directives applied to the in-house DCF template. Every assumption traces to a directive in meeting-notes.pdf.

The one idea that runs through everything: DCF valuation in CRE is solving for value at a target IRR. The purchase price is the input (here, Year-1 NOI ÷ going-in cap); the unlevered IRR is the output. Present value and IRR are two sides of one coin, and the reversion is simply one of the future cash flows.

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

Bundle structure
acre-accelerator-3-dcf-v2026/
├── SKILL.md                                     # Required: instructions + metadata
└── references/                                  # Optional: documentation
    ├── war-room/
    │   ├── broker-proforma.pdf                  # 49.1 KB
    │   ├── historical-operating-statements.pdf  # 176.6 KB
    │   ├── meeting-notes.pdf                    # 111.7 KB
    │   ├── offering-memorandum.pdf              # 1.87 MB
    │   └── rent-roll-summary.pdf                # 167.5 KB
    ├── acre-modeling-conventions.md             # 3.2 KB
    ├── case-study.md                            # 18.5 KB
    ├── inputs.md                                # 5.6 KB
    ├── modes-reviewer.md                        # 8.4 KB
    ├── modes-tutor.md                           # 8.7 KB
    ├── modes-watch-me-build.md                  # 12.3 KB
    ├── outputs.md                               # 5.8 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.