Aznatkoiny

real-estate-investment

End-to-end real estate investment analysis skill. Use when users ask to analyze a property deal, run the numbers on a rental, evaluate real estate investments, build a pro forma, compare markets, calculate cap rate, cash-on-cash return, IRR, NOI, DSCR, equity multiple, or GRM. Also triggers on: BRRRR analysis, house hack evaluation, short-term rental (STR/Airbnb) analysis, commercial underwriting, multifamily deal analysis, syndication waterfall modeling, Monte Carlo simulation for real estate, sensitivity analysis on a deal, 1031 exchange planning, cost segregation analysis, depreciation calculations, real estate tax strategy, market comparison and scoring, rental property screening, deal screening, investor report generation, real estate financial modeling, property type comparison, rent-to-price analysis, development feasibility, land analysis, value-add underwriting, API integration for real estate data (Zillow, Redfin, AirDNA, Mashvisor, ATTOM, Rentcast, Census), or any real estate investment financial analysis task.

Aznatkoiny 6 Updated 3mo ago

Resources

1
GitHub

Install

npx skillscat add aznatkoiny/zai-skills/real-estate-investment

Install via the SkillsCat registry.

SKILL.md

Real Estate Investment Analysis

Comprehensive real estate investment analysis — from deal screening through financial modeling to investor-ready output. Covers all property types, standard and advanced metrics, code generation, and tax-aware structuring.

Analysis Workflow

Follow this 6-step process for any deal or market analysis:

  1. Define scope — Identify property type, investment strategy, and target output format
  2. Gather data — Collect property financials, market data, and comps (use API reference if automating)
  3. Build pro forma — Construct income statement: Gross Rent → Vacancy → EGI → OpEx → NOI → Debt Service → Cash Flow
  4. Calculate returns — Apply appropriate metrics (see Quick Reference below)
  5. Stress test — Run sensitivity analysis, scenarios, or Monte Carlo simulation
  6. Report — Generate investor-ready output with recommendations

Quick Reference — Core Metrics

Metric Formula Typical Range
NOI Effective Gross Income - Operating Expenses Varies by asset
Cap Rate NOI / Property Value 4-10% (market-dependent)
Cash-on-Cash Annual Pre-Tax Cash Flow / Total Cash Invested 8-12% target
DSCR NOI / Annual Debt Service 1.2x+ (lender minimum)
IRR Discount rate zeroing NPV of all cash flows 15-20% target
Equity Multiple Total Distributions / Total Capital Invested 2.0x+ over hold
GRM Property Price / Annual Gross Rent 8-15 (lower = better)
Break-even Occ. (OpEx + Debt Service) / Potential Gross Income <85% preferred

For complete formulas, Python code, and Excel equivalents → load references/financial-metrics.md

Property Type Router

Select the analysis framework based on property type:

Property Type Key Metrics Rules of Thumb Reference
SFR / Small Multi (1-4) CoC, Cap Rate, DSCR 1% rule, 50% rule, 70% rule references/property-types.md §Residential
BRRRR ARV, Rehab ROI, Refi LTV 70% rule: Max buy = 70% ARV - repairs references/property-types.md §Residential
House Hack Effective housing cost, FHA terms 3.5% down FHA, self-sufficiency test references/property-types.md §Residential
Large Multifamily (5+) Per-unit metrics, NOI, Cap Rate OpEx ratio 35-45% references/property-types.md §Commercial
Commercial (Office/Retail) Per-SF metrics, lease analysis NNN vs Gross lease impact references/property-types.md §Commercial
Short-Term Rental RevPAR, ADR, Occupancy Revenue = ADR x Occ x 365 - fees references/property-types.md §STR
Land / Development Absorption rate, dev pro forma Total cost vs projected value references/property-types.md §Land

Analysis Type Router

Select the analysis methodology based on what the user needs:

Need Method Reference File
Run the numbers on a deal Pro forma + core metrics references/financial-metrics.md
Stress test assumptions Sensitivity analysis (bear/base/bull) references/advanced-analysis.md §Sensitivity
Model uncertainty/risk Monte Carlo simulation references/advanced-analysis.md §MonteCarlo
Syndication distributions Waterfall modeling (GP/LP splits) references/advanced-analysis.md §Waterfall
Compare/score markets Market scoring framework references/market-analysis.md §Scoring
Pull market data via API API integration patterns references/market-analysis.md §APIs
Find and adjust comps Comparable analysis references/market-analysis.md §Comps
Optimize tax impact Depreciation, cost seg, 1031 references/tax-strategy.md
Choose entity structure LLC, LP, S-Corp comparison references/tax-strategy.md §Entity

Output Format Selection

Adapt output to the user's request:

Spreadsheet-ready — Generate formatted tables with formulas. Use pandas DataFrames exported to CSV/Excel. Include Excel formula equivalents for each calculation.

Decision framework — Provide structured narrative analysis with go/no-go recommendation. Include risk factors, key assumptions, and sensitivity ranges.

Code generation — Produce Python scripts using numpy-financial and pandas. Include complete, runnable pro forma models, Monte Carlo simulators, or waterfall calculators.

Investor report — Combine all three: executive summary, financial tables, risk analysis, and appendix with methodology.

Operating Expense Benchmarks by Property Type

Property Type OpEx Ratio (% of EGI) Management Fee
Single-Family Rental 35-50% 8-10%
Small Multifamily (2-4) 35-45% 8-10%
Large Multifamily (5+) 35-45% 5-8%
Office 35-55% 3-5%
Retail (NNN) 15-25% 3-5%
Retail (Gross) 60-80% 3-5%
Industrial 15-25% 3-5%
Short-Term Rental 50-65% 20-25%

Key Tax Thresholds (2025-2026)

Strategy Key Detail
Depreciation Residential: 27.5yr, Commercial: 39yr (straight-line)
Bonus Depreciation 100% for property placed in service Jan 20, 2025 – Dec 31, 2030
Cost Segregation Reclassify 15-40% of building into 5/7/15-yr assets
Section 179 $2.5M max deduction (2025), phase-out at $4M
1031 Exchange 45-day ID period, 180-day closing, like-kind real property only
Opportunity Zones Made permanent (2025), 10-year gain exclusion on QOF investment

For complete tax analysis with IRS code references → load references/tax-strategy.md

API Quick Reference

Provider Best For Pricing Auth
Mashvisor STR + LTR rental data $30-$120/mo x-api-key header
AirDNA STR performance data $12-$599/mo Bearer token
ATTOM Deep property data (155M+ properties) $850-$2K/mo apikey param
Rentcast Rental estimates Free-$449/mo (50 free/mo) X-Api-Key header
Census Bureau Demographics, housing Free (API key required) key param
Redfin Data Center Market trends Free (CSV download) None

For endpoint URLs, Python examples, and integration patterns → load references/market-analysis.md

Waterfall Distribution Quick Reference

Standard syndication tiers:

Tier IRR Hurdle LP Share GP Share
1 (Return of Capital + Pref) 0-8% 100% 0%
2 (First Promote) 8-12% 90% 10%
3 (Second Promote) 12-18% 80% 20%
4 (Final Split) 18%+ 60% 40%

Market data: 8% pref in 40% of deals, 10% pref in 30% of deals. 85% of waterfalls use IRR hurdles.

For complete waterfall mechanics, catch-up provisions, and Python calculator → load references/advanced-analysis.md

Reference File Index

Load the appropriate reference file based on the analysis need:

File Contents When to Load
references/financial-metrics.md 12 metrics with formulas, Python functions, Excel formulas, complete RealEstateProForma class, amortization schedules Building a pro forma, calculating returns, generating Python/Excel models
references/advanced-analysis.md Sensitivity tables, Monte Carlo simulation (Python), waterfall calculator, syndication LP/GP mechanics Stress testing deals, modeling risk, syndication analysis
references/property-types.md BRRRR framework, house hack analysis, commercial underwriting, STR revenue modeling, land development feasibility Analyzing a specific property type with tailored frameworks
references/market-analysis.md Market scoring with 15+ indicators, 6 API integrations with Python code, comp adjustment methodology, submarket signals Comparing markets, pulling data via APIs, running comps
references/tax-strategy.md Depreciation schedules, cost segregation savings, 1031 exchange rules, bonus depreciation (2025-2030), opportunity zones, entity structure comparison Tax-optimizing a deal, choosing entity structure, planning exchanges

Audience Adaptation

  • Beginner investors: Explain metric meanings, recommend starting with the 1% rule and cash-on-cash return, walk through pro forma line by line
  • Experienced investors: Skip basics, lead with IRR and equity multiple, provide code/spreadsheet output, focus on sensitivity analysis and tax optimization
  • Default to expert-level analysis unless context suggests otherwise