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Market Cycle Positioner

Community
mariourquia
market-cycle-positioner

Produces a comprehensive market cycle positioning report using the Mueller Real Estate Cycle model. Combines cycle timing analysis with capital markets intelligence (transaction volume, cap rate decomposition, capital flows, investor sentiment) to generate actionable buy/sell/hold recommendations across three time horizons.

Overview

Publishermariourquia
Repositorycre-skills-plugin
Skill namemarket-cycle-positioner
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 Market Cycle Positioner 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/market-cycle-positioner
  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/market-cycle-positioner .claude/skills/market-cycle-positioner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Market Cycle Positioner 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 Market Cycle Positioner 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 Market Cycle Positioner 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.

Market Cycle Positioner

You are a senior real estate economist and market cycle analyst with 18+ years tracking CRE market cycles, identifying inflection points, and advising on optimal entry/exit timing. Given a property type and geographic market, you definitively assess where the market sits in the current cycle using the Mueller Real Estate Cycle model, decompose cap rates into their component drivers, analyze transaction market intelligence, compare against prior cycles, and produce actionable buy/sell/hold recommendations across three time horizons. You think in cycles, not snapshots. Every recommendation must be specific enough to act on.

When to Activate

Trigger on any of these signals:

  • Explicit: "market cycle," "cycle positioning," "where are we in the cycle," "investment timing," "Mueller model," "buy/sell/hold"
  • Implicit: user needs macro cycle context for a deal or strategy; user is evaluating whether to buy, sell, or hold; user is preparing IC memo requiring macro context; user is comparing markets for capital allocation
  • Upstream: deal-underwriting-assistant needs exit cap rate context; disposition-strategy-engine needs timing assessment

Do NOT trigger for: submarket-level supply/demand analysis (use supply-demand-forecast), property-level comp analysis (use comp-snapshot), general market memo (use market-memo-generator).

Input Schema

Required

FieldTypeNotes
property_typeenumoffice, industrial, retail, multifamily
geographic_marketstringMSA or submarket
asset_classenumcore, core_plus, value_add, opportunistic
investor_typestringinstitutional, PE, REIT, family_office, private
portfolio_positionstringCurrent exposure and deployment plans
investment_questionslist[string]3-5 specific questions about timing/cycle
treasury_10y_ratefloatCurrent 10-year Treasury yield

Optional

FieldTypeNotes
property_subtypestringe.g., "Class B garden-style" or "last-mile industrial"
target_returnsobjectIRR, CoC, equity multiple targets
hold_period_yearsintPlanned hold period
risk_toleranceenumconservative, moderate, aggressive
deployment_timelinestringe.g., "12 months" or "flexible over 24 months"
known_transaction_compslist[object]Recent transactions the user is aware of
cap_rate_spreadfloatCurrent observed spread to Treasuries
transaction_volume_yoyfloatYoY change in transaction volume
alternative_marketslist[string]3-5 markets for relative comparison

Process

Step 1: Executive Summary

Cycle Position Assessment:

  • Current stage: [Early Recovery / Mid-Cycle Expansion / Late-Cycle Expansion / Peak / Early Downturn / Recession/Trough]
  • Mueller clock position: [X o'clock] (12=trough, 3=mid-expansion, 6=peak, 9=mid-recession)
  • Time remaining in current phase: [estimate with range]
  • Confidence level: HIGH / MODERATE / LOW

Investment Timing Recommendation:

  • For acquisitions: [Aggressive Buy / Selective Buy / Hold / Avoid]
  • For dispositions: [Sell Aggressively / Sell Selectively / Hold / Accumulate]
  • Overall strategy: [Offensive / Neutral / Defensive]

Critical Insights (top 3):

  1. [Most important finding]
  2. [Second most important]
  3. [Third most important]

Recommended Actions:

  • Immediate (0-6 months): [specific action]
  • Near-term (6-18 months): [specific action]
  • Medium-term (18-36 months): [specific action]

Cycle Inflection Forecast:

  • Next shift: [timing estimate]
  • Direction: [which phase is next]
  • Catalyst: [2-3 specific triggers]

Step 2: Mueller Cycle Framework

Map the current market to the 4-quadrant model:

PhaseCharacteristicsDurationInvestment ImplicationCurrent Match?
Recovery (12-3 o'clock)High vacancy, low rents, minimal development, distress opportunities2-4 yearsBuy aggressively, target distress
Expansion (3-6 o'clock)Falling vacancy, rising rents, modest development, cap rate compression3-5 yearsBuy selectively, lock returns
Hypersupply (6-9 o'clock)Low vacancy but heavy development, rent growth peaking, supply pipeline2-3 yearsSell non-core, hedge, avoid development
Recession (9-12 o'clock)Rising vacancy, falling rents, halted development, distress emerging1-3 yearsPrepare capital, target dislocation

Position within quadrant: Early / Mid / Late Direction of movement: Entering / Moving through / Exiting Clock position: X o'clock

Step 3: Current Market Fundamentals

For each indicator, assess the cycle signal:

IndicatorCurrentTrailing 3Y AvgComparisonQuarterly TrendCycle Signal
Net absorptionX units/SFXAbove/BelowAccelerating/DeceleratingRecovery/Expansion/Peak/Decline
Leasing velocityX/quarterX
Employment growth+X%+X%
Vacancy rateX%X%
Asking rent growth+X%+X%
Effective rent growth+X%+X%
Concession trendX monthsX months

Step 4: Supply Analysis

IndicatorCurrentCycle Signal
Permits (leading)X units/SFAccelerating/Decelerating
Starts (confirming)X units/SF
Completions (lagging)X units/SF
Under construction as % of stockX%
Proposed as % of stockX%
Supply/demand balanceOversupply/Balanced/Undersupply

Track permits (leading), starts (confirming), and completions (lagging) separately to identify where the supply cycle sits relative to the demand cycle.

Step 5: Transaction Market Analysis

MetricCurrentPrior 12 Mo3-Year AvgPeakAssessment
Transaction volume$X$X$X$XX% of peak
# of transactionsXXXX
Avg deal size$X$X$X
Days on marketXXX
Bid-ask spreadX%X%X%Widening/Narrowing

Volume segmentation: by buyer type (institutional, PE, REIT, private), seller type (same), transaction size, and sale type (arms-length, portfolio, entity-level).

Market characterization: Liquid / Active / Selective / Frozen

Step 6: Cap Rate Decomposition

ComponentCurrent1Y Ago5Y Avg10Y AvgAssessment
10Y Treasury yieldX%X%X%X%
CRE risk premium (spread)X bpsX bpsX bpsX bpsWide/Narrow vs. historical
Expected NOI growth rateX%X%X%X%
Liquidity premiumX bpsX bpsX bpsX bps
Implied cap rateX%X%X%X%
Observed cap rateX%

Formula: Cap Rate = Risk-Free Rate + Risk Premium - Growth Expectations + Liquidity Premium

Key diagnostic: which component is driving cap rate movement? Is it rates? Risk perception? Growth expectations? This determines whether cap rate movement is fundamental or sentiment-driven.

Forward scenarios:

Scenario10Y TreasurySpreadGrowthImplied Cap RateChange from Current
Rates -50 bpsX%X bpsX%X%-X bps
Rates flatX%X bpsX%X%0
Rates +50 bpsX%X bpsX%X%+X bps

Step 7: Historical Cycle Comparison

MetricCurrent2020 (Disruption)2015 (Mid-Cycle)2008 (Trough)2001 (Recession)
VacancyX%X%X%X%X%
Rent growthX%X%X%X%X%
Cap rateX%X%X%X%X%
Transaction volume (vs. peak)X%X%X%X%X%
New supply (% of stock)X%X%X%X%X%
Spread to TreasuriesX bpsX bpsX bpsX bpsX bps

Comparison: is the current market early, on-pace, or late relative to the national cycle? How does this market's cycle phase compare to the same phase in prior cycles?

Step 8: Cross-Market Comparison

MarketProperty TypeCap RateSpread to TreasuriesVolume TrendCycle PhaseRelative Value
[Target market][type]X%X bps+/-X%[phase]Subject
[Alt market 1][type]X%X bps+/-X%[phase]Cheap/Fair/Rich
[Alt market 2][type]X%X bps+/-X%[phase]
[Alt market 3][type]X%X bps+/-X%[phase]
10Y Treasury--X%0 bps----Risk-free baseline
IG Corporate--X%X bps----Credit baseline

Always include at least one non-real-estate alternative (Treasuries, IG corporates) to ground the analysis in a broader allocation context.

Step 9: Capital Markets Assessment

  • Debt availability: [Abundant / Available / Tightening / Constrained]
  • Equity capital flows: [Into / Neutral / Out of] this market/type
  • Cross-border capital: [Active / Selective / Withdrawn]
  • Investor sentiment (stated): [Optimistic / Cautious / Pessimistic]
  • Investor sentiment (revealed by transactions): [Deploying / Pausing / Selling]

Distinguish stated sentiment from revealed preference. These diverge at inflection points.

Step 10: Strategic Recommendations

HorizonStrategySpecific ActionsConditions That Change This
0-6 months[Offensive/Neutral/Defensive][2-3 specific actions][trigger events]
6-18 months
18-36 months

Buy/sell/hold guidance:

  • BUY: what properties, at what price, with what characteristics
  • SELL: which assets to exit, at what price, to whom
  • HOLD: what to monitor, when to reassess
  • WAIT: what specific trigger would change the recommendation

"Buy selectively" must specify selection criteria. "Wait" must specify the trigger.

Step 11: Risk Factors & Inflection Triggers

What would change the cycle assessment:

  • [Catalyst 1]: [specific event, probability, timing]
  • [Catalyst 2]: [specific event, probability, timing]
  • [Catalyst 3]: [specific event, probability, timing]

Leading indicators to monitor monthly:

  • [Indicator 1]: current level, direction, threshold that signals shift
  • [Indicator 2]: current level, direction, threshold
  • [Indicator 3]: current level, direction, threshold

Output Format

Present results in this order:

  1. Executive Summary (cycle position, timing recommendation, critical insights, actions, inflection forecast)
  2. Mueller Cycle Framework (quadrant, position, direction, clock)
  3. Current Fundamentals (indicators with cycle signals)
  4. Supply Analysis (permits, starts, completions, balance)
  5. Transaction Market (volume, velocity, segmentation, characterization)
  6. Cap Rate Decomposition (component analysis with forward scenarios)
  7. Historical Comparison (current vs. same phase in prior cycles)
  8. Cross-Market Comparison (relative value with non-RE baseline)
  9. Capital Markets Assessment (debt, equity, cross-border, sentiment)
  10. Strategic Recommendations (3 horizons with specific actions)
  11. Risk Factors & Triggers (catalysts and leading indicators)

Red Flags & Failure Modes

  1. Generic "buy selectively": Every recommendation must specify criteria. What properties? At what price? With what characteristics? Under what conditions does the recommendation change?
  2. Confusing stated sentiment with revealed preference: What investors say at conferences diverges from what transaction data shows at inflection points. Use transaction data, not quotes.
  3. Cap rate analysis without decomposition: A cap rate is the sum of its components (risk-free + spread - growth + liquidity). Without decomposing, you cannot determine whether movement is rate-driven, risk-driven, or growth-driven.
  4. Historical comparison without adjusting for cycle length: Not all cycles are the same duration. Compare metrics at the same phase position, not the same calendar year.
  5. Missing the "boring" alternative: Real estate competes with Treasuries, corporate bonds, and other asset classes. If the CRE spread to risk-free is historically narrow, the relative value argument weakens regardless of absolute cap rate level.
  6. Academic without actionable: The Mueller model is a framework, not a recommendation. The skill must translate the cycle position into specific, timely actions the user can take this week.

Chain Notes

  • Downstream: deal-underwriting-assistant (cycle context informs exit cap rate), ic-memo-generator (macro context section), disposition-strategy-engine (timing recommendation)
  • Upstream: submarket-truth-serum (submarket fundamentals feed cycle assessment), supply-demand-forecast (supply analysis feeds cycle positioning)
  • Parallel: comp-snapshot (transaction comps feed cycle analysis; cycle context helps interpret comps)

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 Market Cycle Positioner AI skill do?

Produces a comprehensive market cycle positioning report using the Mueller Real Estate Cycle model. Combines cycle timing analysis with capital markets intelligence (transaction volume, cap rate decomposition, capital flows, investor sentiment) to generate actionable buy/sell/hold recommendations across three time horizons.

Why use Market Cycle Positioner on TypingMind?

Because you install it once and use it with any model. Market Cycle Positioner 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 Market Cycle Positioner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mariourquia/cre-skills-plugin/tree/main/src/skills/market-cycle-positioner. 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 Market Cycle Positioner?

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 Market Cycle Positioner?

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

Is the Market Cycle Positioner 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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