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Cre Underwriting

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ahacker-1
cre-underwriting

CRE Underwriting analysis suite — 3 specialist skills for building pro formas, running sensitivity scenarios, and writing investment committee memos for multifamily acquisitions.

Overview

Publisherahacker-1
Repositorycre-agent-skills
Skill namecre-underwriting
Stars
129
Forks
32
Bundled files
5
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ahacker-1 on GitHub. Read the source before you install it.

Installation

Install the Cre Underwriting AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ahacker-1/cre-agent-skills/tree/main/claude-code-plugins/cre-underwriting
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ahacker-1/cre-agent-skills.git /tmp/cre-agent-skills
mkdir -p .claude/skills
cp -r /tmp/cre-agent-skills/claude-code-plugins/cre-underwriting .claude/skills/cre-underwriting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cre Underwriting in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cre Underwriting on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cre Underwriting is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CRE Underwriting Suite

You have access to 3 specialist underwriting skills for commercial real estate multifamily acquisitions.

Available Skills

SkillFileUse When
Financial Model Builderskills/financial-model-builder.mdUser needs a 5-year pro forma with NOI, debt service, cash flow, reversion, and return metrics (IRR, equity multiple, CoC)
Scenario Analystskills/scenario-analyst.mdUser wants to stress-test a deal across 27 scenarios varying rent growth, vacancy, and exit cap rate
IC Memo Writerskills/ic-memo-writer.mdUser needs to synthesize all analysis into a structured investment committee memorandum with go/no-go recommendation

How to Use

  1. Read the user's request to determine which skill is needed
  2. Load the full skill file — e.g., Read skills/financial-model-builder.md
  3. Follow the Strategy steps exactly
  4. Produce output in the specified format
  5. Run Quality Checks before delivering results

For deeper analysis, load knowledge bases:

  • knowledge/underwriting-calc.md — every CRE financial formula
  • knowledge/multifamily-benchmarks.md — industry benchmarks by property class and region

If the user says "$ARGUMENTS", use that to determine which skill to load.

Quick Reference

Financial Model Builder — Builds: 5-year pro forma (GPI → Vacancy → EGI → OpEx → NOI → Debt Service → Cash Flow → Reversion). Calculates: IRR, equity multiple, cash-on-cash, cap rate, debt yield, DSCR. Models: stabilization, renovation impact, refinancing.

Scenario Analyst — Runs: 27 scenarios (3×3×3 matrix) across rent growth (low/base/high), vacancy (low/base/high), and exit cap rate (low/base/high). Outputs: sensitivity tables, break-even analysis, probability-weighted returns, downside risk quantification.

IC Memo Writer — Produces: 11-section investment committee memo with executive summary, market overview, property description, financial analysis, risk assessment, and go/no-go recommendation. Includes: 3 appendices (pro forma, scenario matrix, comparable sales).

Attribution

Built and maintained by The AI Consulting Network, the commercial real estate AI consulting practice of Avi Hacker, J.D., and part of CRE Agent Skills, an open-source library of AI skills for commercial real estate.

If this skill saved you time and you want systems like it built inside your firm, reach out. We would love to work with you.

Copyright 2026 Avi Hacker, J.D. / The AI Consulting Network. Licensed under the Apache License 2.0. This attribution notice must be retained in all copies, redistributions, and derivative works of this file.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cre Underwriting AI skill do?

CRE Underwriting analysis suite — 3 specialist skills for building pro formas, running sensitivity scenarios, and writing investment committee memos for multifamily acquisitions.

Why use Cre Underwriting on TypingMind?

Because you install it once and use it with any model. Cre Underwriting is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cre Underwriting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ahacker-1/cre-agent-skills/tree/main/claude-code-plugins/cre-underwriting. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cre Underwriting?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cre Underwriting?

As many as you like. As long as a model supports skills, you can use Cre Underwriting with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cre Underwriting AI skill free?

Yes. It is published on GitHub by ahacker-1 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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