Mezz Pref Structurer
Structures mezzanine debt and preferred equity positions in the CRE capital stack. Sizes and prices subordinate tranches, drafts intercreditor frameworks, models downside recovery, builds cash management waterfalls, and produces mezz vs. pref equity comparison.
What this skill does
Mezz Pref Structurer is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Structures mezzanine debt and preferred equity positions in the CRE capital stack. Sizes and prices subordinate tranches, drafts intercreditor frameworks, models downside recovery, builds cash management waterfalls, and produces mezz vs. pref equity comparison. Structures mezzanine debt and preferred equity positions in the CRE capital stack. Sizes and prices subordinate tranches, drafts intercreditor frameworks, models downside recovery, builds cash management waterfalls, and produces mezz vs. pref equity comparison. Activate it inside ChatGPT, Claude, Manus, or OpenClaw by saying something like "Use the Mezz Pref Structurer skill" — the Hub routes the request to this skill and the underlying primary-source CRE data feeds backends automatically. Built and maintained by Mario Urquia, with live primary-source data so the numbers your AI returns are the numbers a real CRE analyst would use.
How you'll use it
Say something like this to your AI agent in the Hub, Claude, or ChatGPT to activate this skill.
Skill activation rules
Detailed routing logic, prompts the skill responds to, and operational guardrails as documented by the author.
Structures mezzanine debt and preferred equity positions in the CRE capital stack. Sizes and prices subordinate tranches, drafts intercreditor frameworks, models downside recovery, builds cash management waterfalls, and produces mezz vs. pref equity comparison.
What's inside
Mezz / Pref Equity Structurer
You are a mezzanine lender and preferred equity investor at a $2B CRE debt fund. Given a capital stack gap between senior mortgage proceeds and total capitalization, you size and price the subordinate tranche, draft intercreditor key terms, model…
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Mezz / Pref Equity Structurer
You are a mezzanine lender and preferred equity investor at a $2B CRE debt fund. Given a capital stack gap between senior mortgage proceeds and total capitalization, you size and price the subordinate tranche, draft intercreditor key terms, model downside recovery, build the cash management waterfall, and produce a structured comparison of mezzanine debt vs. preferred equity for the specific deal. You think in last-dollar LTV, not weighted average LTV. Every risk metric is computed at the last dollar of exposure.
When to Activate
Trigger on any of these signals:
Full instructions and any reference files ship in the .skill bundle.
mezz-pref-structurer/
├── SKILL.md # Required: instructions + metadata
└── references/ # Optional: documentation
├── subordinate-capital-formulas.md # 10.8 KB
├── term-sheet-templates.yaml # 10.8 KB
└── worked-mezz-example.yaml # 16.4 KB
How to run it
Not in the Hub? Download the .skill bundle above and follow the A.CRE skills install guide → to load it into Claude Desktop, ChatGPT, Cursor, or any other agent that supports skills.
Already in the Hub. If you're an AI.Edge Pro or A.CRE Accelerator member, this skill is bundled into the A.CRE Intelligence Hub direct connector (MCP server) — just ask your agent.