Multi-agent AI system for commercial real estate acquisitions. 31 agents, 5 deal phases, 8 domain knowledge skills, real-time dashboard. No API keys needed to run.
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Updated
Mar 31, 2026 - TypeScript
Multi-agent AI system for commercial real estate acquisitions. 31 agents, 5 deal phases, 8 domain knowledge skills, real-time dashboard. No API keys needed to run.
The objective of this repository is to share with an MIT license the visualization tools used with public data and developed by the Wholesale Markets Surveillance Directorate (DSMG) of the Regulatory Commission of Energy (CRE). It can be used by final users such as developers and energy analysts.
98+ institutional-grade CRE skills for Claude Code. Deal screening, underwriting, capital markets, asset management, leasing, development, and more. 40+ expert subagents. 6 workflow chains. ~97% CRE workflow coverage.
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This repository contains a dynamic web page that visualizes current SOFR spreads across different commercial real estate asset classes. The dashboard provides a breakdown of spreads for industrial, multifamily, office, and retail properties, categorized by risk profiles such as Core/Stabilized, Value-Add, and Opportunistic.
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