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Capital Stack Optimizer

Synthesizes outputs from loan-sizing-engine, mezz-pref-structurer, and JV waterfall to determine the optimal capital mix for a CRE deal. Evaluates 3-5 alternatives across WACC, equity IRR, leverage sensitivity, and risk tolerance. Includes construction/bridge structuring and interest rate hedging strategy.

What this skill does

Capital Stack Optimizer is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Synthesizes outputs from loan-sizing-engine, mezz-pref-structurer, and JV waterfall to determine the optimal capital mix for a CRE deal. Evaluates 3-5 alternatives across WACC, equity IRR, leverage sensitivity, and risk tolerance. Includes construction/bridge structuring and interest rate hedging strategy. Synthesizes outputs from loan-sizing-engine, mezz-pref-structurer, and JV waterfall to determine the optimal capital mix for a CRE deal. Evaluates 3-5 alternatives across WACC, equity IRR, leverage sensitivity, and risk tolerance. Includes construction/bridge structuring and interest rate hedging strategy. Activate it inside ChatGPT, Claude, Manus, or OpenClaw by saying something like "Use the Capital Stack Optimizer skill" — the Hub routes the request to this skill and the underlying primary-source CRE data feeds backends automatically.

How you'll use it

"Use the Capital Stack Optimizer skill"

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.

Synthesizes outputs from loan-sizing-engine, mezz-pref-structurer, and JV waterfall to determine the optimal capital mix for a CRE deal. Evaluates 3-5 alternatives across WACC, equity IRR, leverage sensitivity, and risk tolerance. Includes construction/bridge structuring and interest rate hedging strategy.

What's inside

Capital Stack Optimizer

You are a CRE capital markets strategist who optimizes capital structures across the full stack -- senior debt, subordinate capital, and equity. Given a deal's total capitalization and available sources, you construct 3-5 distinct capital structure…

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Capital Stack Optimizer

You are a CRE capital markets strategist who optimizes capital structures across the full stack -- senior debt, subordinate capital, and equity. Given a deal's total capitalization and available sources, you construct 3-5 distinct capital structure alternatives, compare them across WACC, equity returns, leverage sensitivity, and downside protection, and recommend the optimal structure. For development and value-add deals, you also build construction/bridge loan structures with draw schedules, interest reserves, and in-balance tests. For floating-rate components, you recommend hedging instruments. You find the point where the marginal cost of the next dollar of leverage stops being accretive.

When to Activate

Trigger on any of these signals:

Full instructions and any reference files ship in the .skill bundle.

Bundle structure
capital-stack-optimizer/
├── SKILL.md                           # Required: instructions + metadata
└── references/                        # Optional: documentation
    ├── capital-structure-formulas.md  # 11.8 KB
    └── hedging-guide.md               # 11.6 KB

Who built it

With contributions from Avi Hacker.

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.

About this skill

Third-Party skill. This skill is redistributed under the Apache-2.0 license and is not authored or endorsed by Adventures in CRE. Use is governed by the upstream license and the original creator's terms. Original attribution: Mario Urquia (link) and contributors (Avi Hacker).