[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-80015":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":23,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":27,"readmeContent":28,"aiSummary":29,"trendingCount":16,"starSnapshotCount":16,"syncStatus":30,"lastSyncTime":31,"discoverSource":32},80015,"ai-realestate-claude","zubair-trabzada\u002Fai-realestate-claude","zubair-trabzada","AI real estate research engine for Claude Code. Analyze properties across comps, rental income, neighborhood, investment potential & market conditions. Residential, commercial, flip, BRRRR analysis + PDF reports. 15 skills, 5 agents. Not investment advice.","https:\u002F\u002Fwww.skool.com\u002Faiworkshop",null,"Python",84,46,69,1,0,10,12,15,30,72.52,"MIT License",false,"main",true,[],"2026-06-12 04:01:26","\u003Cp align=\"center\">\n  \u003Cimg src=\".github\u002Fbanner.svg\" alt=\"AI Real Estate Analyst — Claude Code Skill\" width=\"900\"\u002F>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Cstrong>AI-powered property research and investment analysis\u003C\u002Fstrong> for Claude Code.\u003Cbr\u002F>\n  Analyze properties, estimate rental income, evaluate investment opportunities, write listings, and produce client-ready PDF reports — all from the command line.\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"#quick-start\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Finstall-one--liner-2d8a4e?style=for-the-badge\" alt=\"Install\"\u002F>\u003C\u002Fa>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fskills-15-c9982e?style=for-the-badge\" alt=\"15 Skills\"\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fagents-5-4a9eff?style=for-the-badge\" alt=\"5 Agents\"\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPDF_reports-yes-2d8a4e?style=for-the-badge\" alt=\"PDF Reports\"\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-MIT-1a2332?style=for-the-badge\" alt=\"MIT License\"\u002F>\n\u003C\u002Fp>\n\n---\n\n## What It Does\n\nThe 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\u002Fhold\u002Fpass signal.\n\n### Feature Highlights\n\n| Feature | Description |\n|---------|-------------|\n| **Full Property Analysis** | 5 parallel agents analyze value, income, neighborhood, investment, and market simultaneously |\n| **Property Score (0-100)** | Weighted composite score with letter grade (A+ to F) and investment signal |\n| **Comp Analysis** | Recent comparable sales, price per sq ft, fair market value estimate |\n| **Cash Flow Projections** | Monthly\u002Fannual rental income, expenses, NOI, cap rate, cash-on-cash return |\n| **Neighborhood Intelligence** | Schools, crime, walkability, demographics, growth trajectory |\n| **Investment Scenarios** | Buy-and-hold, BRRRR, fix-and-flip with ROI projections |\n| **Professional Listings** | MLS-ready property descriptions |\n| **Mortgage Calculator** | Payment estimates, affordability analysis, rate comparison |\n| **Market Analysis** | Local inventory, days on market, price trends, seasonality |\n| **Property Screener** | Filter properties by investment criteria |\n| **PDF Reports** | Professional 6-page reports with charts, tables, and gauges |\n| **Commercial Analysis** | NOI, cap rate, lease terms, tenant quality for commercial properties |\n\n---\n\n## Quick Start\n\n### One-Command Install (macOS \u002F Linux)\n\n```bash\ncurl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fzubair-trabzada\u002Fai-realestate-claude\u002Fmain\u002Finstall.sh | bash\n```\n\n### Manual Install\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fai-realestate-claude.git\ncd ai-realestate-claude\n.\u002Finstall.sh\n```\n\n### Requirements\n\n- Python 3.8+\n- Claude Code CLI\n- Git\n- `reportlab` (installed automatically)\n\n---\n\n## Commands\n\nOpen Claude Code and use these commands:\n\n| Command | What It Does | Output |\n|---------|-------------|--------|\n| `\u002Frealestate analyze \u003Caddress>` | Full property analysis (5 parallel agents) | `PROPERTY-ANALYSIS-*.md` |\n| `\u002Frealestate quick \u003Caddress>` | 60-second property snapshot | Terminal output |\n| `\u002Frealestate comps \u003Caddress>` | Comparable sales analysis | `PROPERTY-COMPS-*.md` |\n| `\u002Frealestate rental \u003Caddress>` | Rental income & cash flow projection | `PROPERTY-RENTAL-*.md` |\n| `\u002Frealestate listing \u003Caddress>` | Professional MLS-ready listing | `PROPERTY-LISTING-*.md` |\n| `\u002Frealestate invest \u003Caddress>` | Investment analysis (buy-hold, BRRRR, flip) | `PROPERTY-INVEST-*.md` |\n| `\u002Frealestate neighborhood \u003Caddr>` | Schools, crime, walkability, demographics | `PROPERTY-NEIGHBORHOOD-*.md` |\n| `\u002Frealestate flip \u003Caddress>` | Fix-and-flip analysis with rehab budget | `PROPERTY-FLIP-*.md` |\n| `\u002Frealestate commercial \u003Caddress>` | Commercial property analysis | `PROPERTY-COMMERCIAL-*.md` |\n| `\u002Frealestate mortgage \u003Cprice>` | Mortgage calculator & affordability | `PROPERTY-MORTGAGE.md` |\n| `\u002Frealestate market \u003Ccity\u002Fzip>` | Local market conditions & trends | `PROPERTY-MARKET-*.md` |\n| `\u002Frealestate compare \u003Ca1> \u003Ca2>` | Side-by-side property comparison | `PROPERTY-COMPARE.md` |\n| `\u002Frealestate screen \u003Ccriteria>` | Property screener by investment criteria | `PROPERTY-SCREEN-*.md` |\n| `\u002Frealestate report-pdf` | Professional PDF property report | `PROPERTY-REPORT.pdf` |\n\n---\n\n## Architecture\n\n```\nai-realestate-claude\u002F\n├── realestate\u002F                     # Main skill orchestrator\n│   ├── SKILL.md                    # Primary skill file — routing, scoring, output standards\n│   └── scripts\u002F\n│       └── generate_realestate_pdf.py  # PDF report generator (ReportLab)\n├── skills\u002F                         # 14 sub-skills\n│   ├── realestate-analyze\u002F         # Full analysis orchestrator (launches 5 agents)\n│   ├── realestate-comps\u002F           # Comparable sales analysis\n│   ├── realestate-rental\u002F          # Rental income & cash flow\n│   ├── realestate-listing\u002F         # MLS-ready listing writer\n│   ├── realestate-invest\u002F          # Investment analysis (buy-hold, BRRRR, flip)\n│   ├── realestate-neighborhood\u002F    # Schools, crime, walkability, demographics\n│   ├── realestate-flip\u002F            # Fix-and-flip analysis\n│   ├── realestate-commercial\u002F      # Commercial property analysis\n│   ├── realestate-mortgage\u002F        # Mortgage calculator\n│   ├── realestate-market\u002F          # Local market conditions\n│   ├── realestate-compare\u002F         # Side-by-side comparison\n│   ├── realestate-screen\u002F          # Property screener\n│   ├── realestate-quick\u002F           # 60-second snapshot\n│   └── realestate-report-pdf\u002F      # PDF report generation\n├── agents\u002F                         # 5 parallel subagents\n│   ├── realestate-comps.md         # Comparable sales agent\n│   ├── realestate-rental.md        # Rental income agent\n│   ├── realestate-neighborhood.md  # Neighborhood analysis agent\n│   ├── realestate-invest.md        # Investment analysis agent\n│   └── realestate-market.md        # Market conditions agent\n├── install.sh                      # One-command installer\n├── uninstall.sh                    # Clean uninstaller\n├── requirements.txt                # Python dependencies\n└── README.md\n```\n\n---\n\n## Scoring Methodology\n\nThe **Property Score (0-100)** is a weighted composite of 5 analysis dimensions:\n\n| Category | Weight | What It Measures |\n|----------|--------|------------------|\n| Value & Comps | 25% | Price vs comps, price per sq ft, fair market value |\n| Income Potential | 20% | Rental yield, cash flow, cap rate, cash-on-cash return |\n| Neighborhood Quality | 20% | Schools, safety, walkability, amenities, growth |\n| Investment Upside | 20% | Appreciation potential, value-add opportunity, exit strategies |\n| Market Conditions | 15% | Supply\u002Fdemand, days on market, price trends, seasonality |\n\n### Grade & Signal\n\n| Score | Grade | Signal |\n|-------|-------|--------|\n| 85-100 | A+ | **Strong Buy** — excellent value across all dimensions |\n| 70-84 | A | **Buy** — favorable fundamentals with manageable risks |\n| 55-69 | B | **Hold\u002FWatch** — mixed signals, deeper due diligence needed |\n| 40-54 | C | **Caution** — significant concerns in one or more areas |\n| 25-39 | D | **Pass** — unfavorable risk\u002Freward at current pricing |\n| 0-24 | F | **Avoid** — major red flags, walk away |\n\n---\n\n## Property Types Supported\n\n| Type | Key Analysis Focus |\n|------|-------------------|\n| **Single Family** | Comps, rental yield, appreciation, school district, flip potential |\n| **Multi-Family (2-4)** | Gross rent multiplier, unit mix, per-unit value, house hacking |\n| **Multi-Family (5+)** | NOI, cap rate, expense ratio, value-add, 1031 exchange |\n| **Condo \u002F Townhouse** | HOA fees impact, special assessments, rental restrictions |\n| **Commercial** | NOI, cap rate, lease terms, tenant quality, zoning |\n| **Land** | Zoning, buildability, utilities, entitlements, highest-and-best-use |\n| **Short-Term Rental** | ADR, occupancy, seasonality, local regulations, STR comps |\n\n---\n\n## Use Cases\n\n### Real Estate Agents\n- Generate professional listing descriptions in seconds\n- Provide clients with data-backed property analysis\n- Compare properties side-by-side for buyer presentations\n- Create market condition reports for listing appointments\n\n### Investors\n- Screen properties by investment criteria (cap rate, cash flow, 1% rule)\n- Run full investment analysis with buy-hold, BRRRR, and flip scenarios\n- Project cash flow with conservative vacancy and expense estimates\n- Generate professional PDF reports for partners or lenders\n\n### House Hunters\n- Get a 60-second snapshot on any property of interest\n- Understand neighborhood quality (schools, crime, walkability)\n- Calculate true monthly costs including PITI, maintenance, and HOA\n- Compare two properties head-to-head with scored analysis\n\n---\n\n## Example Output\n\n```\n\u002Frealestate quick 4821 Ridgeview Dr, Austin TX 78735\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n  QUICK PROPERTY SNAPSHOT\n  4821 Ridgeview Dr, Austin TX 78735\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n  Price:          $425,000\n  Beds\u002FBaths:     3 bd \u002F 2 ba\n  Sq Ft:          1,850\n  Price\u002FSq Ft:    $230\n  Year Built:     1998\n\n  Property Score: 72\u002F100 (Grade: A)\n  Signal:         BUY\n\n  Top 3 Factors:\n  1. Neighborhood growth trajectory: +8.2% (5yr)\n  2. Priced at comp average — room to negotiate 3-5%\n  3. Strong school district (7\u002F10) supports demand\n\n  Estimated Rental:  $2,100-$2,300\u002Fmo\n  Est. Cap Rate:     5.2%\n  Market Temp:       Warm — 18 days avg DOM\n\n  DISCLAIMER: AI-generated research for educational\n  purposes only. Not financial or investment advice.\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n```\n\n---\n\n## PDF Reports\n\nGenerate professional 6-page property reports with:\n\n- **Cover page** with Property Score gauge (color-coded 0-100)\n- **Property details** table (address, price, beds, baths, sqft, year built, lot size)\n- **Score dashboard** with horizontal bar chart and category breakdown\n- **Comp analysis** summary table with recent comparable sales\n- **Cash flow projections** (monthly and annual) with investment metrics\n- **Neighborhood scores** bar chart (schools, crime, walkability, transit, growth)\n- **Investment analysis** with strategy comparison and appreciation projections\n- **Recommendation section** with suggested offer, action items, and risk matrix\n\nColor scheme: Navy (#1a2332), Forest Green (#2d8a4e), Warm Gold (#c9982e)\n\n```bash\n# Generate a sample PDF report\npython3 ~\u002F.claude\u002Fskills\u002Frealestate\u002Fscripts\u002Fgenerate_realestate_pdf.py --demo\n```\n\n---\n\n## Data Sources\n\nThe tool gathers data from publicly available sources:\n\n- Current property listings and recent sales\n- County assessor and tax records\n- School ratings and district data\n- Crime statistics and safety reports\n- Walk Score, Transit Score, Bike Score\n- Census and demographic data\n- Market reports and inventory data\n\n---\n\n## Contributing\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b feature\u002Fnew-analysis`)\n3. Commit your changes (`git commit -m 'Add new analysis type'`)\n4. Push to the branch (`git push origin feature\u002Fnew-analysis`)\n5. Open a Pull Request\n\n---\n\n## License\n\nMIT License. See [LICENSE](LICENSE) for details.\n\n---\n\n## Disclaimer\n\nThis 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.\n\n---\n\n\u003Cp align=\"center\">\n  Built for \u003Ca href=\"https:\u002F\u002Fclaude.com\u002Fclaude-code\">Claude Code\u003C\u002Fa>\n\u003C\u002Fp>\n","该项目是一个基于Claude Code的AI房地产研究引擎，用于分析房产在市场比较、租金收入、社区环境、投资潜力及市场条件等方面的表现。它通过5个并行AI代理全面评估房产价值、收入潜力、邻里质量、投资机会和市场状况，并生成一个综合评分（0-100），同时提供专业的PDF报告。该工具适用于住宅、商业、翻新转售等不同类型的房产投资分析场景，帮助投资者快速筛选出具有潜力的投资项目。使用Python编写，支持命令行操作，易于安装和使用。",2,"2026-06-11 03:58:55","CREATED_QUERY"]