submarket-truth-serum

Generate IC-memo-ready submarket briefs with supply pipeline and risk signals.

43|13|Updated Mar 17, 2026

Search Tags:#pipeline #data-analysis #risk #absorption #cre #submarket-analysis #concessions

Ready to run

npx skills add https://github.com/mariourquia/cre-skills-plugin --skill submarket-truth-serum

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: submarket-truth-serum
Source: https://github.com/mariourquia/cre-skills-plugin/tree/main/skills/submarket-truth-serum
Command: npx skills add https://github.com/mariourquia/cre-skills-plugin --skill submarket-truth-serum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Produces decision-grade submarket briefs that strip broker narratives to reveal what is actually happening, delivering IC-memo-ready output with no-fluff, range-based forecasting, and a transparent view of supply pipeline, demand drivers, and competitive context.

Core Features & Use Cases

IC-memo-ready submarket briefs with quarterly supply pipeline, demand drivers, competitive set, and a critical "What the Brokers Won't Tell You" section.
Data-driven surface of market signals (jobs, rents, occupancy, pipeline) to support acquisition, leasing, and underwriting decisions.
Structured, auditable output suitable for memos, presentations, and deal-level due diligence, with clear risks and opportunities.

Quick Start

Provide a submarket truth-serum brief for a specified submarket and asset type.

Frequently Asked Questions about submarket-truth-serum

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

FAQPage Schema

How do I generate an IC-memo-ready submarket brief for commercial real estate?▼

A submarket truth serum brief identifies data gaps and removes broker spin by applying quarterly supply pipeline, absorption, rent levels, and demographic data. It emphasizes measurable drivers and explicit risk signals to support commercial real estate underwriting decisions.

What is the best way to analyze CRE submarket risk using supply pipeline data?▼

Analyzing CRE submarket risk requires evaluating the five pillars: quarterly supply pipeline, A/D ratio, shadow vacancy, concessions, and regulatory risk. This framework surfaces explicit risk signals and competitive context for acquisition and underwriting decisions.

How do I remove broker spin from commercial real estate underwriting decisions?▼

To remove broker spin from commercial real estate underwriting, you overlay data-driven market signals like jobs, rents, and occupancy against pipeline data. This transparent approach reveals actual market conditions for leasing and acquisition decisions.

Can I use range-based forecasting for commercial real estate submarket analysis?▼

Yes, you can use range-based forecasting for submarket analysis to deliver decision-grade briefs with no-fluff projections. By applying absorption trends and rent levels, the forecast provides a transparent view of supply and demand drivers for due diligence.

What data is needed to calculate the A/D ratio and shadow vacancy for a submarket brief?▼

Calculating the A/D ratio and shadow vacancy requires quarterly supply pipeline data, absorption metrics, and rent levels. Applying these data points within a competitive set framework ensures the submarket brief accurately reflects regulatory risk and concessions.