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Real Assets

Community
JoelLewis
real-assets

Analyze real estate and infrastructure investments including REITs, direct property valuation, and infrastructure assets. Use when the user asks about real estate investing, REITs, cap rates, NOI, FFO, AFFO, property valuation, or infrastructure investments. Also trigger when users mention 'rental property analysis', 'cash-on-cash return', 'gross rent multiplier', 'REIT dividends', 'real estate sectors', 'cell towers', 'toll roads', 'LTV ratio', 'DSCR', or ask whether to invest in real estate directly or through REITs.

Overview

PublisherJoelLewis
Repositoryfinance_skills
Skill namereal-assets
Stars
217
Forks
37
Bundled files
1
LicenseMIT
Links
  • 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.

  • 1 bundled files

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

  • Open source

    Published by JoelLewis on GitHub. Read the source before you install it.

Installation

Install the Real Assets 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/JoelLewis/finance_skills/tree/main/plugins/wealth-management/skills/real-assets
  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/JoelLewis/finance_skills.git /tmp/finance_skills
mkdir -p .claude/skills
cp -r /tmp/finance_skills/plugins/wealth-management/skills/real-assets .claude/skills/real-assets
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Real Assets 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 Real Assets 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 Real Assets 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.

Real Assets

Core Concepts

Property Income and Return Metrics

  • NOI (Net Operating Income): effective gross rental income (after vacancy) minus operating expenses; excludes debt service, capex, and depreciation.
  • Cap rate: NOI divided by property value — the unlevered property yield; lower cap rates mean higher valuations.
  • Income-approach value: NOI divided by the prevailing cap rate for comparable properties.
  • Cash-on-cash return: annual pre-tax cash flow (NOI minus debt service) divided by total cash invested — the levered equity yield.
  • GRM (Gross Rent Multiplier): price divided by gross annual rent; a quick screen that ignores expenses, vacancy, and financing.

REITs and REIT Metrics

REITs must distribute 90%+ of taxable income as dividends and trade on exchanges like equities. Sectors include residential, office, retail, industrial, data center, healthcare, self-storage, and specialty.

  • FFO (Funds From Operations): net income plus depreciation minus gains on property sales — the standard REIT earnings measure, since real estate depreciation overstates actual value decline.
  • AFFO (Adjusted FFO): FFO minus maintenance capex and straight-line rent adjustments — the conservative measure of recurring distributable cash flow.
  • P/FFO and P/AFFO: the REIT equivalents of P/E; compare within the same sector.
  • NAV premium/discount: share price relative to per-share net asset value of the underlying properties; indicates market sentiment.

Infrastructure Investments

Infrastructure assets include toll roads, utilities, pipelines, cell towers, airports, and ports. Characteristics: long asset lives, high barriers to entry, regulated or contracted revenue streams, and inflation-linked cash flows (many contracts include CPI adjustments). Infrastructure provides stable, bond-like income with equity-like upside from traffic/usage growth.

Leverage in Real Estate

  • LTV (Loan-to-Value): mortgage amount / property value. Higher LTV means more leverage and more risk. Typical commercial LTV is 60-75%.
  • DSCR (Debt Service Coverage Ratio): NOI / annual debt service. Lenders typically require 1.20x-1.50x minimum. Higher DSCR means more cushion to service debt.

Direct Real Estate vs REITs: Decision Checklist

Work through these factors before recommending a vehicle:

FactorDirect ownershipREITs
LiquiditySales take months; high transaction costsTrade intraday on exchanges
ManagementActive management required, or pay a property managerPassive; professional management included
Leverage accessNon-recourse mortgage leverage at attractive LTVs (60-75%), chosen by the investorEntity-level leverage set by REIT management; investors cannot choose property-level leverage
1031 exchangeEligible — defer capital gains by exchanging into like-kind propertyNot eligible — REIT shares do not qualify
DiversificationConcentrated in one or a few propertiesA REIT fund spreads across hundreds of properties and multiple sectors
Minimum check sizeTypically $50K+ equity (down payment plus closing costs)From one share

Mapping investor situations to the preferred vehicle:

Investor situationPreferred vehicle
May need the money within months, or rebalances regularlyREITs
Wants control over leverage, tenants, and improvementsDirect
Holds appreciated property and wants tax-deferred reinvestmentDirect (1031 exchange)
Allocation under ~$50K, or wants broad diversification immediatelyREITs
Willing to manage tenants and repairs (or pay a manager from rent)Direct
Wants passive, hands-off exposure with no operational involvementREITs

Key Formulas

FormulaExpressionUse Case
NOIGross Rental Income - Operating ExpensesProperty income measure
Cap RateNOI / Property ValueUnlevered property yield
Property ValueNOI / Cap RateIncome-based valuation
Cash-on-CashAnnual Cash Flow / Total Cash InvestedLevered equity return
GRMPrice / Gross Annual RentQuick screening metric
FFONet Income + Depreciation - Gains on SalesREIT earnings measure
AFFOFFO - Maintenance Capex - Straight-Line Rent AdjRecurring cash flow
LTVLoan Amount / Property ValueLeverage measure
DSCRNOI / Annual Debt ServiceDebt coverage measure

Worked Examples

Example 1: Property Valuation Using Cap Rate

Given: NOI = $100,000 per year, prevailing cap rate for comparable properties = 6% Calculate: Property value Solution: Value = NOI / Cap Rate = $100,000 / 0.06 = $1,666,667

The property is valued at approximately $1,666,667. If the cap rate compressed to 5% (e.g., in a hot market), the value would rise to $2,000,000 — a 20% increase from a 100bp cap rate decline. This illustrates the sensitivity of real estate values to cap rate changes.

Example 2: Cash-on-Cash Return with Leverage

Given: Property value = $500,000, down payment = $200,000 (40%), mortgage = $300,000 at 6%, NOI = $35,000, annual debt service = $17,000 Calculate: Cash-on-cash return Solution: Annual pre-tax cash flow = NOI - Debt Service = $35,000 - $17,000 = $18,000 Cash-on-Cash Return = $18,000 / $200,000 = 9.0%

Compare to the unlevered cap rate: $35,000 / $500,000 = 7.0%. Leverage boosts the equity return from 7.0% to 9.0% because the cost of debt (6%) is below the cap rate (7.0%) — this is positive leverage. If the mortgage rate exceeded the cap rate, leverage would reduce returns (negative leverage).

Common Pitfalls

  • Confusing cap rate with total return — cap rate ignores appreciation, leverage effects, and capital expenditures
  • Using P/E instead of P/FFO for REITs — depreciation distorts net income, making P/E misleading for real estate companies
  • Ignoring vacancy rates in NOI calculation — always use effective gross income (after vacancy allowance), not gross potential rent
  • Overstating returns by ignoring maintenance capex — use AFFO rather than FFO for a realistic view of distributable cash flow

Cross-References

  • time-value-of-money (core plugin): discounted cash flow analysis of property investments
  • equities (wealth-management plugin): REIT stock analysis and equity market context
  • fixed-income-structured (wealth-management plugin): MBS and the mortgage market underlying real estate
  • asset-allocation (wealth-management plugin): real assets as a portfolio diversifier and inflation hedge

Running the script

uv run scripts/real_assets.py

The PEP 723 header resolves the numpy dependency automatically. Alternatively run python3 scripts/real_assets.py after pip install numpy.

  • Bare run prints a demo covering property valuation, cash-on-cash and leverage analysis, REIT metrics, and inflation-adjusted returns.
  • --verify re-runs the demo computations and asserts the outputs match this skill's worked examples (prints PASS/FAIL, nonzero exit on mismatch).
  • --help lists the available classes.

The file is primarily meant to be imported as a module, e.g. from real_assets import PropertyValuation, LeverageMetrics, REITMetrics, RealReturn.

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 Real Assets AI skill do?

Analyze real estate and infrastructure investments including REITs, direct property valuation, and infrastructure assets. Use when the user asks about real estate investing, REITs, cap rates, NOI, FFO, AFFO, property valuation, or infrastructure investments. Also trigger when users mention 'rental property analysis', 'cash-on-cash return', 'gross rent multiplier', 'REIT dividends', 'real estate sectors', 'cell towers', 'toll roads', 'LTV ratio', 'DSCR', or ask whether to invest in real estate directly or through REITs.

Why use Real Assets on TypingMind?

Because you install it once and use it with any model. Real Assets 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 Real Assets in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JoelLewis/finance_skills/tree/main/plugins/wealth-management/skills/real-assets. 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 Real Assets?

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 Real Assets?

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

Is the Real Assets AI skill free?

Yes. It is published on GitHub by JoelLewis under the MIT 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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