Underwriting & Analysis

Acquisition Underwriting Engine

Full-cycle acquisition underwriting engine.

underwrite this dealrun the numbersmodel this property

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Latest release, portable bundle (signed). Review the SKILL.md files before installing into your agent.

gradeDecision-gradehuman gateIC approval neededdataNo personal data
What it does

Takes an OM, rent roll, and T-12, normalizes the operating history, and returns a 10-year proforma, Linneman cap-rate decomposition, probability-weighted scenario returns, and a clear recommendation.

Why it matters

Once a deal clears the quick screen, building a credible acquisition model takes an analyst a day or more: normalizing T-12 NOI, reassessing taxes, restating the management fee, constructing a year-by-year proforma, and running three scenario sets before anything gets to the investment committee. The pressure to move fast produces shortcuts that show up as errors at IC.

How it's done today

An analyst downloads the rent roll and T-12 into a house Excel model, manually strips one-time items, reprices taxes and insurance, models IO and amortizing debt separately, then assembles a sensitivity table and a returns summary, all before writing the IC section. It takes most of a day and the methodology varies analyst to analyst.

When to use it

Reach for it

Use it when a deal has passed the quick screen and you need a full model: normalized T-12, sources and uses, 10-year operating proforma, cap-rate analysis, levered and unlevered returns, and three-scenario sensitivity before IC.

Not the right tool

Not the right tool for a first-pass go/no-go on an inbound OM. Use deal-quick-screen for triage. For OM-specific reverse pricing, use om-reverse-pricing. Investment committee approval is still required before committing capital; the skill produces a recommendation, not a decision.

What it needs and produces

Inputs

  • OM
  • Rent Roll
  • T-12

Outputs

  • Normalized T-12
  • 10-year operating proforma
  • Cap-rate decomposition
  • Probability-weighted return summary
  • Go/no-go recommendation
Example use case

A 50-unit garden multifamily at $12M is passed through from deal-quick-screen with a KEEP verdict. The skill normalizes the T-12 (restates management fee from 2 percent to 4.5 percent of EGI, projects post-sale tax reassessment, removes a one-time roof repair), builds a 7-year proforma with an IO period, runs base/upside/downside scenarios at 50/25/25 probability weights, decomposes the going-in cap, and returns a probability-weighted expected IRR with a go recommendation, flagging that breakeven occupancy sits at 78 percent.

Compatible agents

Agent personas that pair well with this skill

Works with
Limitations

Returns depend directly on the inputs you provide. The skill normalizes what it sees, but a rent roll with stale unit data or a T-12 that hides deferred maintenance will produce an optimistic baseline. Human review of the underlying documents is required before presenting to IC.