realestate-comps

Estimate residential property fair market value from comparable sales with adjustment rules.

Updated May 26, 2026
One-click install
npx skills add https://github.com/tan2line/ai-realestate-cowork-plugin --skill realestate-comps-tan2line
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: realestate-comps
Source: https://github.com/tan2line/ai-realestate-cowork-plugin/tree/main/skills/realestate-comps
Command: npx skills add https://github.com/tan2line/ai-realestate-cowork-plugin --skill realestate-comps-tan2line

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you estimate a property’s fair market value by finding and analyzing recent comparable sales, then determining whether the subject is over- or under-priced.

Core Features & Use Cases

  • Comparable sales search (5–10 target): Gathers recently sold nearby properties using multiple search strategies and applies comp selection filters (distance, recency, size, beds/baths, type, and year built).
  • Industry-style adjustment methodology: Calculates standardized adjustments for differences (square footage, beds/baths, age, lot size, garage, pool, condition, location, and time) with explicit adjustment limits.
  • Valuation + confidence scoring: Produces fair market value estimates via weighted average, median adjusted value, and median price-per-sq-ft methods, then scores the comp set (0–100) and outputs a structured report.

Quick Start

Use /realestate comps <address> to generate a comparable sales report with an estimated fair market value and a comps score.

Frequently Asked Questions about realestate-comps

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

FAQPage Schema
How do I estimate a property's fair market value using comparable sales?

Estimate fair market value using comparable sales by retrieving 5–10 recently sold nearby properties, applying standardized adjustment rules for feature differences, and computing weighted average, median adjusted value, and median price-per-sq-ft estimates.

What adjustments are applied when comparing real estate comps?

Real estate comps adjustments calculate standardized value differences for square footage, bedrooms, bathrooms, age, lot size, garage, pool, condition, location, and time of sale, applying explicit adjustment limits to calculate adjusted comp values accurately.

How do I know if a list price matches a home's estimated value?

Compare list price versus estimated fair market value by retrieving comparable sales, applying adjustment rules to calculate adjusted comp values, and generating a structured report with a 0–100 comps confidence score indicating over- or under-pricing.

Can I use comparable sales for residential real estate market research?

Comparable sales analysis supports residential real estate market research and pricing assessment by gathering recently sold nearby properties through multiple search strategies and applying comp selection filters for distance, recency, size, beds/baths, type, and year built.

How does comps scoring work for property valuation?

Comps scoring produces a 0–100 confidence score by evaluating the quality of the comparable sales set after applying adjustment rules and calculating fair market value estimates via weighted average, median adjusted value, and median price-per-sq-ft methods.

What is the best way to find comparable property sales for investment analysis?

The best way to find comparable property sales for investment analysis is using multiple web-based search strategies to discover 5–10 target comps, then applying selection filters for distance, recency, size, beds/baths, property type, and year built.