market-pulse

Aggregate CoStar, broker PDFs, and web data into dynamic submarket matrices.

1|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/RA01279/ridge-intel --skill market-pulse-ra01279
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-pulse
Source: https://github.com/RA01279/ridge-intel/tree/main/market-pulse
Command: npx skills add https://github.com/RA01279/ridge-intel --skill market-pulse-ra01279

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

RIDGE needs a reliable, timely source of submarket intelligence to inform underwriting, benchmarking, and market reporting. This skill consolidates multiple data sources into a structured output that can feed underwriting models and investor decks.

Core Features & Use Cases

  • Submarket intelligence & benchmarking: build and refresh a dynamic submarket matrix from CoStar, broker PDFs, and web sources.
  • Market pulse reporting: generate full or submarket reports for Atlanta, Savannah, DFW, Houston, and watch-listed Austin.
  • Underwriting integration: output directly into Napkin, Full models, and IC decks with consistent benchmarks and KPIs.

Quick Start

Ask MARKET PULSE to pull the latest submarket data for a specific market or submarket.

Frequently Asked Questions about market-pulse

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

FAQPage Schema
How do I aggregate CRE submarket data from CoStar and broker PDFs for underwriting?

To aggregate CRE submarket data for underwriting, the skill consolidates CoStar, broker PDFs, and web sources into a structured output. This standardized data feeds underwriting models, submarket matrices, and investor decks.

Can I generate market intelligence reports for specific CRE markets like Atlanta or DFW?

Yes, you can generate market intelligence reports for Atlanta, Savannah, DFW, Houston, and Austin. The skill produces full or submarket-specific reports with standardized formatting and dynamic benchmarking matrices.

What is the best way to build a dynamic submarket matrix for commercial real estate benchmarking?

Building a dynamic submarket matrix for commercial real estate benchmarking involves aggregating vacancy and rent data from multiple sources. The skill automates this collection and applies standardized formatting for consistent KPIs.

Does this tool integrate submarket intelligence directly into underwriting workflows?

Yes, the tool integrates submarket intelligence directly into underwriting workflows. It outputs benchmark data seamlessly into Napkin, Full models, and IC decks to ensure consistent underwriting and reporting.

What data sources are needed to automate CRE market pulse reporting?

Automating CRE market pulse reporting requires data from CoStar, broker PDFs, and web sources. The skill aggregates these inputs to satisfy data collection protocols and generate standardized submarket intelligence outputs.