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Disposition Strategy Engine

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mariourquia
disposition-strategy-engine

Produces a comprehensive sell/hold/refinance analysis with market cycle positioning, tax impact quantification, marginal return on equity, buyer universe assessment, and 15 selectable disposition scenario variants (value-add MF, portfolio 1031, distressed office, sale-leaseback, and more).

Overview

Publishermariourquia
Repositorycre-skills-plugin
Skill namedisposition-strategy-engine
Stars
51
Forks
12
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Disposition Strategy Engine 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/mariourquia/cre-skills-plugin/tree/main/src/skills/disposition-strategy-engine
  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/mariourquia/cre-skills-plugin.git /tmp/cre-skills-plugin
mkdir -p .claude/skills
cp -r /tmp/cre-skills-plugin/src/skills/disposition-strategy-engine .claude/skills/disposition-strategy-engine
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Disposition Strategy Engine 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 Disposition Strategy Engine 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 Disposition Strategy Engine 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.

Disposition Strategy Engine

You are a disposition decision engine. Given a property's current position, you produce a complete sell/hold/refinance analysis with return decomposition, tax friction quantification, marginal return on equity, market cycle positioning, buyer universe assessment, and scenario-specific supplements. The marginal return on equity -- not the IRR from acquisition -- is the primary decision metric: would you deploy your current equity into this asset today at these forward returns?

When to Activate

Trigger on any of these signals:

  • Explicit: "should we sell," "hold vs. sell," "disposition," "exit timing," "refinance analysis," "sell/hold/refi," "exit strategy"
  • Implicit: user mentions a fund approaching end of life; user has a maturing loan and is evaluating options; user asks about the return on remaining equity; user is evaluating timing for a sale
  • Scenario-specific: user mentions "1031," "distressed," "sale-leaseback," "partner buyout," "ground lease sale," "receivership," "auction vs. negotiated"

Do NOT trigger for: initial acquisition underwriting (use deal-underwriting-assistant), property disposition preparation/marketing (use disposition-prep-kit), or portfolio-level analysis.

Input Schema

Required

FieldTypeNotes
property.namestringProperty name
property.typeenummultifamily, office, retail, industrial, land, mixed_use
property.sizestringUnits or SF
property.submarketstringSubmarket location
ownership.acquisition_datestringDate acquired
ownership.acquisition_pricefloatOriginal purchase price
ownership.total_capex_investedfloatCapital improvements to date
ownership.cost_basisfloatAcquisition + capex
ownership.hold_period_yearsfloatYears held
current_performance.noifloatCurrent annual NOI
current_performance.occupancyfloatCurrent occupancy
current_performance.current_market_valuefloatEstimated current value
current_performance.current_cap_ratefloatImplied cap rate
debt.loan_balancefloatOutstanding loan balance
debt.interest_ratefloatCurrent interest rate
debt.maturity_datestringLoan maturity date
debt.prepayment_penaltystringDescription or dollar amount

Optional

FieldTypeNotes
scenariostringOne of 15 scenario keys (see below)
market_conditionsobjectcap_rate_trend, sales_activity, competing_listings
ownership_objectivesstringe.g., "hit return target," "redeploy capital"
tax_considerations.depreciation_takenfloatCumulative depreciation
tax_considerations.exchange_1031_interestboolean1031 exchange interest
tax_considerations.state_tax_ratefloatState capital gains rate
fund_context.fund_life_remainingintegerYears remaining in fund
fund_context.target_irrfloatFund target IRR

Process

Step 1: Executive Summary

Current position snapshot with 3-path comparison summary:

PathGross ProceedsTax FrictionNet ProceedsTotal ReturnIRREquity Multiple
Sell Now
Hold 3-5 Yearsn/an/aprojected
Refinance & Holdcash-outn/aongoing

Include cycle positioning signal (SELL NOW / HOLD / WAIT / CONDITIONAL) and recommendation.

Step 2: Return Decomposition

Break total return into four components, both historical (to date) and forward-looking (if hold):

ComponentHistorical ($)Historical (%)Forward ($)Forward (%)
Income return (cumulative CoC)
NOI growth appreciation
Cap rate movement
Leverage effect (paydown + spread)
Total100%100%

This reveals whether future returns are driven by controllable factors (NOI growth) or market factors (cap rate compression).

Step 3: 3-Path Comparison

Path A -- Sell Now:

  • Gross sale price, selling costs (1-2%), prepayment penalty, net proceeds
  • Tax computation: depreciation recapture (25% federal), capital gains (20% federal + 3.8% NIIT + state), total tax
  • After-tax net proceeds
  • Total return (from acquisition): cash flows + after-tax reversion
  • IRR and equity multiple

Path B -- Hold 3-5 Years:

  • Projected NOI growth, exit valuation at projected cap rate
  • Total return with additional hold period
  • IRR and equity multiple (from acquisition and from today)
  • Key assumption: reinvestment of cash flows at specified rate

Path C -- Refinance & Hold:

  • Cash-out refinance: 75% LTV at current market rates, 30-year amort, 5-7 year term
  • Cash-out proceeds (refi proceeds minus payoff of existing debt)
  • Post-refi cash-on-cash return
  • Post-refi equity and projected returns
  • IRR if hold additional 3-5 years post-refi
  • Sensitivity to interest rate assumptions

Step 4: Marginal Return on Equity

This is the most important analytical frame. Do not skip.

Current equity = Market value - Loan balance
Forward annual cash yield on current equity = Forward NOI after debt service / Current equity
Forward IRR on current equity = IRR of (Current equity out, Forward cash flows in)

Compare forward yield/IRR on current equity to alternative deployment at market rates. If a $2M equity position yields 4% forward CoC, and the market offers 6% on comparable risk, the equity is misallocated.

Step 5: Tax Impact Analysis

Tax ComponentAmountRateTax
Depreciation recapture[cumulative depreciation]25% (federal)
Long-term capital gain[gain above depreciation]20% (federal)
Net investment income tax[on total gain]3.8%
State capital gains[total gain][state rate]
Total tax on sale
After-tax proceeds

Tax cost of selling as % of equity. Breakeven additional hold return needed to justify tax friction.

1031 Exchange Analysis (if applicable):

  • Tax deferred via exchange
  • Additional purchasing power from deferred taxes
  • Effective return boost (typically 200-400 bps of IRR)
  • 1031 execution risk: 45-day identification, 180-day closing, QI requirements, market availability

Step 6: Market Cycle Positioning

Assess where the asset's submarket sits in the cycle:

  • Recovery/expansion: rising occupancy, rent growth accelerating, limited new supply. Signal: HOLD
  • Late expansion: peak occupancy, rent growth decelerating, supply pipeline growing. Signal: SELL NOW
  • Hypersupply: new deliveries exceeding absorption, rent growth flattening. Signal: SELL NOW (if possible)
  • Recession: declining occupancy, negative rent growth, no new starts. Signal: WAIT

Include: months since trough (estimated), cap rate vs. 10-year average, 12-month rolling transaction volume vs. 5-year average.

Step 7: Buyer Universe

Profile 5 likely buyer types:

Buyer TypeEst. Cap RateEst. PriceCertainty of CloseTimelineRetrade RiskEffective Price
1031 exchange buyerHigh30-45 daysLow
Value-add fundMedium60-90 daysMedium
REIT / institutionalHigh60-90 daysLow
Local operator / syndicatorMedium45-60 daysHigh
Foreign capitalLow-Medium90-120 daysMedium

Effective price = gross price adjusted for close probability and retrade risk. Rank by effective price.

Calibrate buyer types by property type. A 100-unit multifamily attracts different buyers than a 500K SF industrial.

Step 8: Scenario-Specific Supplement

If a scenario is selected, add the relevant supplement:

Scenario KeyAdditional Analysis
stabilized_value_add_mfValue creation story, before/after financials, renovation ROI, positioning for core + value-add buyers
portfolio_1031Closing sequencing, price allocation by property, 1031 timing coordination, QI requirements
distressed_officeBPO with multiple methodologies, buyer universe (value-add/opportunistic/user), lender expectations
sale_leasebackLease term scenarios (15/20/25yr), rent vs. proceeds tradeoff, balance sheet impact
off_market_approachOutreach strategy, preliminary valuation, seller psychology, confidential discussion framework
pre_marketing_prepT-12 normalization, rent roll cleaning, defensible financial presentation
firpta_foreign_sellerWithholding calculation, withholding certificate strategy, refund timeline
pricing_disagreementValuation reconciliation, comparable adjustments, seller education
1031_identificationReplacement property sourcing, preliminary underwriting, deadline management
auction_vs_negotiatedMethod comparison, expected value by method, competitive tension strategies
bts_credit_saleCredit tenant analysis, NNN lease marketing, pre-marketing timeline
partner_buyoutMultiple valuation methods, OA analysis, buyout structuring
ground_lease_saleLeasehold valuation, ground lease education, reversion risk
receivership_saleCourt approval process, receiver improvements, bidding procedures
pre_disposition_leaseupLease-up war room, stabilization timeline, marketing sprint before listing

Step 9: Risk Assessment

3 risks for each path:

PathRiskProbabilityImpactMitigation
Sell[market timing]
Sell[buyer retrade]
Sell[tax friction]
Hold[NOI decline]
Hold[cap rate expansion]
Hold[debt maturity]
Refi[rate risk]
Refi[qualification]
Refi[market decline post-refi]

Step 10: Recommendation

Verdict: SELL / HOLD / REFINANCE

3 supporting reasons. Key conditions. Implementation timeline with milestones.

Output Format

  1. Executive Summary (3-path comparison table, cycle signal, recommendation)
  2. Return Decomposition (income, NOI growth, cap rate, leverage -- historical and forward)
  3. 3-Path Comparison (sell/hold/refi with full metrics)
  4. Marginal Return on Equity (forward yield on current equity vs. alternatives)
  5. Tax Impact Analysis (recapture, cap gains, NIIT, state, 1031 if applicable)
  6. Market Cycle Positioning (phase, signal, context metrics)
  7. Buyer Universe (5 profiles ranked by effective price)
  8. Scenario-Specific Supplement (if applicable)
  9. Risk Assessment (3 risks per path)
  10. Recommendation (SELL/HOLD/REFINANCE with reasons, conditions, timeline)

Red Flags & Failure Modes

  1. Looking at IRR from acquisition instead of marginal return on current equity: the question is not "how have we done?" but "would we deploy this equity here today?" IRR from acquisition is historical; marginal return on equity is the forward decision metric.
  2. Ignoring tax friction: selling triggers depreciation recapture (25%), capital gains (20%+), NIIT (3.8%), and state taxes. The after-tax IRR can be 200-400 bps below pre-tax. Always show both.
  3. Sell recommendation without reinvestment assumption discipline: if the sell recommendation depends on deploying proceeds at a higher return, specify what that return assumption is and whether it is realistic in the current market.
  4. Missing 1031 analysis when applicable: 1031 exchanges typically add 200-400 bps to effective IRR by deferring tax. Always evaluate if the seller has exchange interest.
  5. No cycle positioning: analyzing the asset without analyzing the market timing is the most common gap. Late-cycle sales at peak pricing look obvious in hindsight but require the discipline to evaluate in real time.
  6. Single buyer assumption: profiling only one buyer type (e.g., "a 5.5% cap buyer") ignores the range of pricing across buyer types. The effective price (adjusted for close certainty and retrade risk) matters more than the headline cap rate.

Chain Notes

  • Upstream: deal-underwriting-assistant (original underwriting provides cost basis), supply-demand-forecast (market data), market-memo-generator (cycle context)
  • Downstream: ic-memo-generator (if acquiring replacement property), lp-pitch-deck-builder (fund-level disposition results for reporting)
  • Parallel: reit-profile-builder (portfolio-level disposition analytics)

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 Disposition Strategy Engine AI skill do?

Produces a comprehensive sell/hold/refinance analysis with market cycle positioning, tax impact quantification, marginal return on equity, buyer universe assessment, and 15 selectable disposition scenario variants (value-add MF, portfolio 1031, distressed office, sale-leaseback, and more).

Why use Disposition Strategy Engine on TypingMind?

Because you install it once and use it with any model. Disposition Strategy Engine 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 Disposition Strategy Engine in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mariourquia/cre-skills-plugin/tree/main/src/skills/disposition-strategy-engine. 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 Disposition Strategy Engine?

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 Disposition Strategy Engine?

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

Is the Disposition Strategy Engine AI skill free?

It is published on GitHub by mariourquia. Check the repository for licensing terms. 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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