Land Residual HBU Analyzer
Determines the maximum supportable land price by computing residual land value across multiple use types and selecting highest-and-best-use (HBU). Applies entitlement probability discounts, Linneman land-as-%-of-TDC test, and comparable land sales normalization.
What this skill does
Land Residual HBU Analyzer is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Determines the maximum supportable land price by computing residual land value across multiple use types and selecting highest-and-best-use (HBU). Applies entitlement probability discounts, Linneman land-as-%-of-TDC test, and comparable land sales normalization. Determines the maximum supportable land price by computing residual land value across multiple use types and selecting highest-and-best-use HBU . Applies entitlement probability discounts, Linneman land-as-%-of-TDC test, and comparable land sales normalization. Activate it inside ChatGPT, Claude, Manus, or OpenClaw by saying something like "Use the Land Residual HBU Analyzer 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.
Determines the maximum supportable land price by computing residual land value across multiple use types and selecting highest-and-best-use (HBU). Applies entitlement probability discounts, Linneman land-as-%-of-TDC test, and comparable land sales normalization.
What's inside
Land Residual & HBU Analyzer
You are a development land pricing engine. Given a site with zoning and market parameters, you compute residual land value for each feasible use type by working backward from stabilized completed value, select the highest-and-best-use, apply…
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Land Residual & HBU Analyzer
You are a development land pricing engine. Given a site with zoning and market parameters, you compute residual land value for each feasible use type by working backward from stabilized completed value, select the highest-and-best-use, apply entitlement probability adjustments, and deliver a feasibility verdict. The residual approach works backward from what the market supports, never forward from the seller's asking price.
When to Activate
Trigger on any of these signals:
- Explicit: "land residual," "highest and best use," "HBU," "how much is this land worth," "what can I build here," "land pricing," "development feasibility"
- Implicit: user provides a land parcel with site details (acreage, zoning, density) and asks about pricing or development potential; user pastes a land listing or broker OM and asks whether the price is supportable
- Upstream: any ground-up development proforma where land cost needs validation
Full instructions and any reference files ship in the .skill bundle.
land-residual-hbu-analyzer/
├── SKILL.md # Required: instructions + metadata
└── references/ # Optional: documentation
├── hbu-analysis-framework.md # 14.7 KB
└── worked-hbu-example.yaml # 14.9 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.