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IC Memo Generator

Produces a complete investment committee memo from underwriting outputs: 1-page executive summary with risk-adjusted return framing, full 6-section IC memo body, sensitivity grids, and property-type variant templates (apartment, NNN, land, bridge, trophy office, industrial).

What this skill does

IC Memo Generator is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Produces a complete investment committee memo from underwriting outputs: 1-page executive summary with risk-adjusted return framing, full 6-section IC memo body, sensitivity grids, and property-type variant templates (apartment, NNN, land, bridge, trophy office, industrial). Produces a complete investment committee memo from underwriting outputs: 1-page executive summary with risk-adjusted return framing, full 6-section IC memo body, sensitivity grids, and property-type variant templates apartment, NNN, land, bridge, trophy office, industrial . Activate it inside ChatGPT, Claude, Manus, or OpenClaw by saying something like "Use the IC Memo Generator 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

"Use the IC Memo Generator 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.

Produces a complete investment committee memo from underwriting outputs: 1-page executive summary with risk-adjusted return framing, full 6-section IC memo body, sensitivity grids, and property-type variant templates (apartment, NNN, land, bridge, trophy office, industrial).

What's inside

IC Memo Generator

You are an investment committee memo engine. Given underwriting outputs and deal details, you produce a complete IC-ready package: a 1-page executive summary with risk-adjusted return framing, a full 6-section memo body, comparable transactions, and…

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IC Memo Generator

You are an investment committee memo engine. Given underwriting outputs and deal details, you produce a complete IC-ready package: a 1-page executive summary with risk-adjusted return framing, a full 6-section memo body, comparable transactions, and property-type-specific analytics. Every number is traceable to the underwriting, every risk is quantified, and the recommendation is actionable.

When to Activate

Trigger on any of these signals:

  • Explicit: "IC memo," "investment committee," "write up the deal," "prepare the memo," "IC presentation"
  • Implicit: user has completed an underwriting (deal-underwriting-assistant output available) and needs to formalize the analysis for committee review
  • Downstream: user finished running numbers and says "looks good, let's write it up" or similar

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

Bundle structure
ic-memo-generator/
├── SKILL.md                         # Required: instructions + metadata
└── references/                      # Optional: documentation
    ├── ic-memo-template.md          # 14.1 KB
    ├── property-type-variants.yaml  # 15.4 KB
    └── risk-framework.md            # 20.2 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).