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realestate

Generate a real estate research report with comps, cash flow, and a Property Score.

Updated May 26, 2026
Search Tags:#comparable sales#investment screening#pdf reporting#real estate analysis#neighborhood intelligence#property score#rental projections
One-click install
npx skills add https://github.com/tan2line/ai-realestate-cowork-plugin --skill realestate-tan2line
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: realestate
Source: https://github.com/tan2line/ai-realestate-cowork-plugin/tree/main/skills/realestate
Command: npx skills add https://github.com/tan2line/ai-realestate-cowork-plugin --skill realestate-tan2line

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires reportlab, json, os, math, datetime, and includes scripts (resource) components.

What problem does it solve?

It solves the problem of turning a property address into a structured, decision-focused research package (comps, rental economics, neighborhood signals, and investment scenarios) without manually stitching together multiple tools and analyses.

Core Features & Use Cases

  • End-to-end property scoring & routing: Runs the requested /realestate workflow and produces a composite Property Score (0-100) with an investment signal (A+/BUY/HOLD/etc.) across value, income, neighborhood, upside, and market conditions.
  • Specialized sub-analyses: Produces separate outputs for comps, rental cash flow, neighborhood intelligence, investment scenarios, and market trends depending on the command you choose.
  • Professional PDF report generation: Creates a multi-page PDF with score gauges, comp tables, cash flow projections, and investment/recommendation sections suitable for client-facing sharing.

Quick Start

Run the command: /realestate analyze 123 Main St, Austin, TX 78701.

Frequently Asked Questions about realestate

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a client-ready real estate analysis report from a property address?▼

Real estate analysis report generation works by passing a property address into the routing command to automatically compile comparable sales, rental cash flow projections, and neighborhood signals into a structured PDF.

Can I calculate rental cash flow projections and a property investment score in one step?▼

Rental cash flow projections and a weighted Property Score from 0-100 are calculated in a single step by combining value, income, neighborhood, upside, and market condition signals to produce an actionable investment recommendation.

What is included in a property due diligence neighborhood intelligence analysis?▼

Neighborhood intelligence analysis includes local market conditions, area quality signals, and comparable sales data to evaluate investment risk and support listing preparation and property due diligence workflows.

How do I produce a professional PDF report for real estate investment screening?▼

PDF report generation for investment screening uses on-demand Python scripts to format score gauges, comp tables, and cash flow projections into a multi-page document suitable for client-facing sharing.

Does this real estate analysis tool require Python dependencies to generate PDF reports?▼

Generating PDF reports requires Python dependencies including reportlab, alongside standard libraries like json, os, math, and datetime, to execute the on-demand scripts that build the structured output files.

What's the best way to compare comparable sales for property investment screening?▼

Comparing comparable sales for investment screening is best handled by running a dedicated subcommand analysis that aggregates local comps and market trends to output a structured Markdown and PDF report.

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