realestate-listing

Name: realestate-listing
Availability: InStock
Author: Ylopo

Generate MLS-ready property listings with neighborhood context from addresses.

Updated Mar 29, 2026

Search Tags:#real estate marketing #real estate listings #MLS description generator #property listing SEO #automated property listings

Ready to run

npx skills add https://github.com/Ylopo/Shana-Gates --skill realestate-listing-ylopo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: realestate-listing
Source: https://github.com/Ylopo/Shana-Gates/tree/main/realestate-skills/skills/realestate-listing
Command: npx skills add https://github.com/Ylopo/Shana-Gates --skill realestate-listing-ylopo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the generation of professional, SEO-optimized property listings with a range of styles, tailored to different buyer personas.

Core Features & Use Cases

MLS-Ready Descriptions: Automatically generates MLS-ready property listing descriptions with headlines, features, and SEO keywords.
Neighborhood Context: Includes neighborhood selling points like schools, shopping, and commute times.
Multiple Styles: Generates listings in Luxury, Family-Friendly, Investor-Focused, and First-Time Buyer styles.
SEO Optimization: Optimizes content for online listing platforms with relevant keywords and descriptions.

Quick Start

Use the realestate-listing skill to generate a property listing for '123 Main St, Anytown, AN 12345'.

Frequently Asked Questions about realestate-listing

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

FAQPage Schema

How do I automatically generate SEO-optimized real estate listings from a property address?▼

To automatically generate SEO-optimized real estate listings, this Skill extracts property data from an address, researches neighborhood context, and writes MLS-ready descriptions with relevant keywords. It processes the inputs using Python and outputs formatted Markdown.

How do I write MLS property descriptions for different buyer personas?▼

Writing MLS property descriptions for different buyer personas is handled by generating listings in multiple styles, including Luxury, Family-Friendly, Investor-Focused, and First-Time Buyer. Each style highlights features tailored to its specific target audience.

Can I include neighborhood selling points like schools and commute times in automated property listings?▼

Including neighborhood selling points like schools, shopping, and commute times in automated property listings is supported. The Skill researches the area surrounding the provided address and integrates these local context details directly into the final listing.

Does this automated property listing generator require web search and data manipulation tools?▼

Automated property listing generation requires data retrieval and processing tools like WebSearch and data manipulation libraries. These dependencies are necessary to extract property information and research neighborhood selling points for the final formatted output.

What is the best way to create MLS-ready property listings with headlines and feature highlights?▼

The best way to create MLS-ready property listings with headlines and feature highlights is to supply a target property address to the Skill. It processes the location data, applies SEO optimization, and outputs a formatted Markdown description with structural sections.

How does automated property listing generation work for real estate marketing automation?▼

Automated property listing generation for real estate marketing works by taking a property address, extracting underlying data, researching neighborhood context, and writing SEO-optimized descriptions. It outputs Markdown formatted content ready for listing services and agent assistants.