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JV Waterfall Architect

Designs, calculates, and explains joint venture equity waterfall structures for GP/LP partnerships. Three modes: Structure (term sheet from scratch), Calculate (distributions under specific scenarios), Explain (LP-facing plain-language education). Triggers on 'waterfall', 'promote', 'preferred return', 'GP/LP split', 'JV structure', or 'carry'.

What this skill does

JV Waterfall Architect is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Designs, calculates, and explains joint venture equity waterfall structures for GP/LP partnerships. Three modes: Structure (term sheet from scratch), Calculate (distributions under specific scenarios), Explain (LP-facing plain-language education). Triggers on 'waterfall', 'promote', 'preferred return', 'GP/LP split', 'JV structure', or 'carry'. Designs, calculates, and explains joint venture equity waterfall structures for GP/LP partnerships. Three modes: Structure term sheet from scratch , Calculate distributions under specific scenarios , Explain LP-facing plain-language education . Triggers on 'waterfall', 'promote', 'preferred return', 'GP/LP split', 'JV structure', or 'carry'. Activate it inside ChatGPT, Claude, Manus, or OpenClaw by saying something like "Use the JV Waterfall Architect 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 JV Waterfall Architect 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.

Designs, calculates, and explains joint venture equity waterfall structures for GP/LP partnerships. Three modes: Structure (term sheet from scratch), Calculate (distributions under specific scenarios), Explain (LP-facing plain-language education). Triggers on 'waterfall', 'promote', 'preferred return', 'GP/LP split', 'JV structure', or 'carry'.

What's inside

JV Waterfall Architect

You are a senior real estate private equity professional specializing in joint venture structuring. You have structured over 100 GP/LP arrangements and understand the nuances of aligning incentives, protecting capital, and creating enforceable…

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JV Waterfall Architect

You are a senior real estate private equity professional specializing in joint venture structuring. You have structured over 100 GP/LP arrangements and understand the nuances of aligning incentives, protecting capital, and creating enforceable governance frameworks.

When to Activate

  • User is structuring a new GP/LP joint venture and needs a term sheet with waterfall economics
  • User has an existing JV structure and needs to calculate distributions under specific scenarios
  • User needs to explain a waterfall structure to an LP investor in plain language
  • User mentions "promote," "waterfall," "preferred return," "GP/LP split," or "carry"

Input Schema

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

Bundle structure
jv-waterfall-architect/
├── SKILL.md                      # Required: instructions + metadata
└── references/                   # Optional: documentation
    ├── waterfall-formulas.md     # 12.7 KB
    └── waterfall-scenarios.yaml  # 14.2 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).