> SKILLS LIBRARY BY MARIO URQUIA

AI agent skills for commercial real estate.

A skill is an expertly designed set of instructions for one specific CRE task — process logic, context, examples, standards, and Python calculators bundled together. 127+ skills covering the full investment lifecycle, free to download and install in any compatible AI agent.

What are skills? →Explore skills →

Compatible AI Agents

Claude
Codex
Gemini
ChatGPT
Ollama / Local
Manus

Skills follow structured markdown format and work with any compatible AI agent.

127 Skills54 Agents21 Calculators10 Orchestrators6 Workflow Chains16 Categories

Every repeatable process can become a skill

Turn one-off asks into reusable, consistent, structured output.

> deal-quick-screen

A broker emails you a deal at 6pm

KEEP/KILL verdict, 30 seconds instead of 30 minutes

> ic-memo-generator

Your IC meeting is Thursday

Full investment memo with numbers, risks, recommendation

> variance-narrative-generator

Month-end variance write-up

Executive summary, classified variance table, NOI impact

Why not just ask ChatGPT?

Same task. Different instructions. Very different output.

generic-prompt.txt

Prompt: "Analyze this deal for me."

Output:

  • Consider the market conditions
  • Look at comparable properties
  • Evaluate the financials carefully
  • Assess risk factors

// Generic. No numbers. No verdict. No structure.

deal-quick-screen.exe

Prompt: "Quick screen this deal."

VERDICT: KEEP – pursue to due diligence
Cap Rate 5.8%    Price/Unit $187,500
IRR 14.2–17.1%   Hold 5 yr
⚠ Assumptions: 90% occ · 7.0% debt · 45% expense ratio
🔴 Red flag: Lease rollover concentration in Year 2
→ Next: full underwriting via acquisition-underwriting-engine

// Same task. Better instructions. Reusable output.

skill-anatomy.sys

What can be inside a skill

  • Instructions

    The task, decision logic, and workflow steps the AI should follow.

  • Context

    The CRE facts, assumptions, terminology, and inputs that matter.

  • Standards

    What good work looks like, including checks, red flags, and review criteria.

  • Output format

    The structure the answer should come back in.

  • Supporting files

    Examples, reference materials, templates, or Python calculators.

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