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- Real Estate Deal Maker Valuation & Pitch Architect Pro
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Real Estate Deal Maker Valuation & Pitch Architect Pro
Analyze real estate deal math, stress-test valuations, and architect persuasive investor or lender pitches.
$25
Real Estate Deal Maker Valuation & Pitch Architect Pro
Example session with this skill installed
Value this property and draft an investor pitch: 4-unit multifamily in Memphis, asking $450k. Rents are $900/unit. Taxes $6k, Insurance $3k. I plan to spend $40k on renos to get rents to $1,100.
- Read your context and instructions
- Compiled the real estate deal
I have analyzed the 4-unit Memphis multifamily deal. Based on a target 8% cap rate and your renovation plan, this is a workable deal at a slightly lower entry price.
Deal Analysis & Pitch
Deal Snapshot
- Property: 4-Unit Multifamily (Memphis)
- Deal Type: Value-Add Residential Income
- Verdict: Workable at Lower Price ($425,000)
Inputs and Assumptions
| Item | Value | Status |
|---|---|---|
| Purchase Price | $450,000 | Provided |
| Renovation Budget | $40,000 | Provided |
| Current Monthly Rent | $3,600 ($900/unit) | Provided |
| Post-Reno Rent | $4,400 ($1,100/unit) | Provided |
| Vacancy Rate | 7% | Assumed (Market Avg) |
| Operating Expenses | $16,800 (Incl. Taxes/Ins) | Calculated |
Underwriting Metrics (Post-Renovation)
- Gross Potential Income: $52,800
- Effective Gross Income (7% Vacancy): $49,104
- Net Operating Income (NOI): $32,304
- Yield on Cost: 6.59% (NOI / $490k Total Cost)
- Cap Rate at Asking: 7.18%
Stress Test
| Scenario | Occupancy | NOI | Yield on Cost |
|---|---|---|---|
| Base Case | 93% | $32,304 | 6.59% |
| Downside | 85% | $28,080 | 5.73% |
| Severe | 75% | $22,800 | 4.65% |
Deal Verdict
Verdict: Marginal at $450k. The current asking price yields a 7.18% cap, which is thin for a value-add play in this submarket.
- Maximum Offer Price: $425,000 (To achieve 7.5%+ stabilized cap)
- Walk-Away Price: $465,000
Investor Pitch: The Opportunity
Hook: Secure a stabilized 7.5% yield in a high-demand Memphis submarket with a 22% built-in equity margin post-renovation.
The Proof: By deploying $40,000 in targeted interior upgrades, we project a rental increase from $900 to $1,100 per unit. This moves the NOI from $23,400 to $32,304, a 38% increase in asset performance.
The Plan: Execute a rolling renovation over 6 months, updating units as leases expire to maintain cash flow.
Risks & Mitigations:
- Renovation Overruns: We have factored a 10% contingency into the $40k budget.
- Extended Vacancy: The stress test confirms the deal remains cash-flow positive even at 75% occupancy.
The Ask: $150,000 in private equity for a 40% ownership stake.
Disclaimer: This analysis is for informational purposes and does not constitute investment or legal advice. Projected returns are not guaranteed.
Next steps
- Verify the $40k renovation quote with a local contractor.
- Confirm the $1,100 rent ceiling via recent 2-bedroom comps in the 38104 zip code.
- Submit a Letter of Intent at $425,000 with a 14-day due diligence period.
Connects securely to your tools. The creator never sees your data.
About this skill
Real estate deals often fall apart because the numbers are unverified or the pitch lacks credibility. This skill functions as a senior analyst to first stress-test property valuations and then architect a persuasive narrative for investors, lenders, or sellers based only on defensible data. It eliminates the friction of building underwriting models from scratch while ensuring every claim in your pitch is backed by a labeled calculation.
What it does
- Multi-method valuation computes property value using income approach, sales comparison, and ARV/cost methods to ensure accuracy.
- Automated underwriting calculates NOI, cap rate, cash-on-cash return, DSCR, and IRR with visible formulas.
- Scenario stress-testing generates base, downside, and severe cases to identify break-even points and key sensitivities.
- Deal verdict generation provides a clear go/no-go recommendation including a calculated Maximum Allowable Offer (MAO).
- Audience-specific pitching drafts offer letters, investor memos, or lender packages tailored to what each stakeholder values.
How it works
- Intake and gap check creates a table of your inputs, filling missing data with conservative, labeled assumptions.
- Quantitative analysis runs the underwriting and stress tests to find the deal's breaking point.
- Strategic architecture builds a pitch deck or memo that highlights verified facts, risks, and mitigations.
Frameworks & tools
This skill utilizes standard real estate financial modeling principles including Net Operating Income (NOI) analysis, Discounted Cash Flow (DCF), and the BRRRR method.
Why this beats prompting it yourself
Generic prompts often hallucinate market data or fail to show the math behind a cap rate. This skill enforces a "numbers before narrative" workflow, ensuring every figure in your pitch is traceable to an auditable calculation rather than vague AI estimates.
Use cases
- Investor reporting to create a transparent deal memo for passive partners.
- Acquisition analysis to determine the exact walk-away price for a fix-and-flip or rental.
- Lender packages to summarize debt-service coverage for commercial financing.
- Seller negotiations to draft an offer narrative explaining why your price is the most realistic.
Known limitations
Does not provide professional legal, tax, or investment advice. Cannot verify property condition or local market data without user input. Valuations are estimates, not licensed appraisals.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Business & Operations.
Does not provide legal or tax advice. Not a licensed appraisal. Cannot verify local market data or property condition without user-provided inputs.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
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- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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