AI-powered property research and investment analysis for Claude Code.
Analyze properties, estimate rental income, evaluate investment opportunities, write listings, and produce client-ready PDF reports — all from the command line.
The AI Real Estate Analyst turns Claude Code into a comprehensive property research system. It runs 5 parallel AI agents to analyze any property across value, income potential, neighborhood quality, investment upside, and market conditions — then produces a composite Property Score (0-100) with a clear buy/hold/pass signal.
| Feature | Description |
|---|---|
| Full Property Analysis | 5 parallel agents analyze value, income, neighborhood, investment, and market simultaneously |
| Property Score (0-100) | Weighted composite score with letter grade (A+ to F) and investment signal |
| Comp Analysis | Recent comparable sales, price per sq ft, fair market value estimate |
| Cash Flow Projections | Monthly/annual rental income, expenses, NOI, cap rate, cash-on-cash return |
| Neighborhood Intelligence | Schools, crime, walkability, demographics, growth trajectory |
| Investment Scenarios | Buy-and-hold, BRRRR, fix-and-flip with ROI projections |
| Professional Listings | MLS-ready property descriptions |
| Mortgage Calculator | Payment estimates, affordability analysis, rate comparison |
| Market Analysis | Local inventory, days on market, price trends, seasonality |
| Property Screener | Filter properties by investment criteria |
| PDF Reports | Professional 6-page reports with charts, tables, and gauges |
| Commercial Analysis | NOI, cap rate, lease terms, tenant quality for commercial properties |
curl -fsSL https://raw.githubusercontent.com/zubair-trabzada/ai-realestate-claude/main/install.sh | bashgit clone https://github.com/zubair-trabzada/ai-realestate-claude.git
cd ai-realestate-claude
./install.sh- Python 3.8+
- Claude Code CLI
- Git
reportlab(installed automatically)
Open Claude Code and use these commands:
| Command | What It Does | Output |
|---|---|---|
/realestate analyze <address> |
Full property analysis (5 parallel agents) | PROPERTY-ANALYSIS-*.md |
/realestate quick <address> |
60-second property snapshot | Terminal output |
/realestate comps <address> |
Comparable sales analysis | PROPERTY-COMPS-*.md |
/realestate rental <address> |
Rental income & cash flow projection | PROPERTY-RENTAL-*.md |
/realestate listing <address> |
Professional MLS-ready listing | PROPERTY-LISTING-*.md |
/realestate invest <address> |
Investment analysis (buy-hold, BRRRR, flip) | PROPERTY-INVEST-*.md |
/realestate neighborhood <addr> |
Schools, crime, walkability, demographics | PROPERTY-NEIGHBORHOOD-*.md |
/realestate flip <address> |
Fix-and-flip analysis with rehab budget | PROPERTY-FLIP-*.md |
/realestate commercial <address> |
Commercial property analysis | PROPERTY-COMMERCIAL-*.md |
/realestate mortgage <price> |
Mortgage calculator & affordability | PROPERTY-MORTGAGE.md |
/realestate market <city/zip> |
Local market conditions & trends | PROPERTY-MARKET-*.md |
/realestate compare <a1> <a2> |
Side-by-side property comparison | PROPERTY-COMPARE.md |
/realestate screen <criteria> |
Property screener by investment criteria | PROPERTY-SCREEN-*.md |
/realestate report-pdf |
Professional PDF property report | PROPERTY-REPORT.pdf |
ai-realestate-claude/
├── realestate/ # Main skill orchestrator
│ ├── SKILL.md # Primary skill file — routing, scoring, output standards
│ └── scripts/
│ └── generate_realestate_pdf.py # PDF report generator (ReportLab)
├── skills/ # 14 sub-skills
│ ├── realestate-analyze/ # Full analysis orchestrator (launches 5 agents)
│ ├── realestate-comps/ # Comparable sales analysis
│ ├── realestate-rental/ # Rental income & cash flow
│ ├── realestate-listing/ # MLS-ready listing writer
│ ├── realestate-invest/ # Investment analysis (buy-hold, BRRRR, flip)
│ ├── realestate-neighborhood/ # Schools, crime, walkability, demographics
│ ├── realestate-flip/ # Fix-and-flip analysis
│ ├── realestate-commercial/ # Commercial property analysis
│ ├── realestate-mortgage/ # Mortgage calculator
│ ├── realestate-market/ # Local market conditions
│ ├── realestate-compare/ # Side-by-side comparison
│ ├── realestate-screen/ # Property screener
│ ├── realestate-quick/ # 60-second snapshot
│ └── realestate-report-pdf/ # PDF report generation
├── agents/ # 5 parallel subagents
│ ├── realestate-comps.md # Comparable sales agent
│ ├── realestate-rental.md # Rental income agent
│ ├── realestate-neighborhood.md # Neighborhood analysis agent
│ ├── realestate-invest.md # Investment analysis agent
│ └── realestate-market.md # Market conditions agent
├── install.sh # One-command installer
├── uninstall.sh # Clean uninstaller
├── requirements.txt # Python dependencies
└── README.md
The Property Score (0-100) is a weighted composite of 5 analysis dimensions:
| Category | Weight | What It Measures |
|---|---|---|
| Value & Comps | 25% | Price vs comps, price per sq ft, fair market value |
| Income Potential | 20% | Rental yield, cash flow, cap rate, cash-on-cash return |
| Neighborhood Quality | 20% | Schools, safety, walkability, amenities, growth |
| Investment Upside | 20% | Appreciation potential, value-add opportunity, exit strategies |
| Market Conditions | 15% | Supply/demand, days on market, price trends, seasonality |
| Score | Grade | Signal |
|---|---|---|
| 85-100 | A+ | Strong Buy — excellent value across all dimensions |
| 70-84 | A | Buy — favorable fundamentals with manageable risks |
| 55-69 | B | Hold/Watch — mixed signals, deeper due diligence needed |
| 40-54 | C | Caution — significant concerns in one or more areas |
| 25-39 | D | Pass — unfavorable risk/reward at current pricing |
| 0-24 | F | Avoid — major red flags, walk away |
| Type | Key Analysis Focus |
|---|---|
| Single Family | Comps, rental yield, appreciation, school district, flip potential |
| Multi-Family (2-4) | Gross rent multiplier, unit mix, per-unit value, house hacking |
| Multi-Family (5+) | NOI, cap rate, expense ratio, value-add, 1031 exchange |
| Condo / Townhouse | HOA fees impact, special assessments, rental restrictions |
| Commercial | NOI, cap rate, lease terms, tenant quality, zoning |
| Land | Zoning, buildability, utilities, entitlements, highest-and-best-use |
| Short-Term Rental | ADR, occupancy, seasonality, local regulations, STR comps |
- Generate professional listing descriptions in seconds
- Provide clients with data-backed property analysis
- Compare properties side-by-side for buyer presentations
- Create market condition reports for listing appointments
- Screen properties by investment criteria (cap rate, cash flow, 1% rule)
- Run full investment analysis with buy-hold, BRRRR, and flip scenarios
- Project cash flow with conservative vacancy and expense estimates
- Generate professional PDF reports for partners or lenders
- Get a 60-second snapshot on any property of interest
- Understand neighborhood quality (schools, crime, walkability)
- Calculate true monthly costs including PITI, maintenance, and HOA
- Compare two properties head-to-head with scored analysis
/realestate quick 4821 Ridgeview Dr, Austin TX 78735
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
QUICK PROPERTY SNAPSHOT
4821 Ridgeview Dr, Austin TX 78735
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Price: $425,000
Beds/Baths: 3 bd / 2 ba
Sq Ft: 1,850
Price/Sq Ft: $230
Year Built: 1998
Property Score: 72/100 (Grade: A)
Signal: BUY
Top 3 Factors:
1. Neighborhood growth trajectory: +8.2% (5yr)
2. Priced at comp average — room to negotiate 3-5%
3. Strong school district (7/10) supports demand
Estimated Rental: $2,100-$2,300/mo
Est. Cap Rate: 5.2%
Market Temp: Warm — 18 days avg DOM
DISCLAIMER: AI-generated research for educational
purposes only. Not financial or investment advice.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Generate professional 6-page property reports with:
- Cover page with Property Score gauge (color-coded 0-100)
- Property details table (address, price, beds, baths, sqft, year built, lot size)
- Score dashboard with horizontal bar chart and category breakdown
- Comp analysis summary table with recent comparable sales
- Cash flow projections (monthly and annual) with investment metrics
- Neighborhood scores bar chart (schools, crime, walkability, transit, growth)
- Investment analysis with strategy comparison and appreciation projections
- Recommendation section with suggested offer, action items, and risk matrix
Color scheme: Navy (#1a2332), Forest Green (#2d8a4e), Warm Gold (#c9982e)
# Generate a sample PDF report
python3 ~/.claude/skills/realestate/scripts/generate_realestate_pdf.py --demoThe tool gathers data from publicly available sources:
- Current property listings and recent sales
- County assessor and tax records
- School ratings and district data
- Crime statistics and safety reports
- Walk Score, Transit Score, Bike Score
- Census and demographic data
- Market reports and inventory data
- Fork the repository
- Create your feature branch (
git checkout -b feature/new-analysis) - Commit your changes (
git commit -m 'Add new analysis type') - Push to the branch (
git push origin feature/new-analysis) - Open a Pull Request
MIT License. See LICENSE for details.
This tool is for educational and research purposes only. It is NOT financial or investment advice. Real estate values, rental estimates, and investment projections are AI-generated approximations based on publicly available data. Always verify all information with licensed professionals — real estate agents, appraisers, inspectors, and financial advisors — before making any purchase or investment decisions. Real estate investments involve significant risk including potential loss of capital.
Built for Claude Code