Agent-Skills.md

Agent Skills: Proptech Advisor

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vertical-advisorsID: borghei/claude-skills/proptech-advisor

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borghei/claude-skills
borgheiLicense: NOASSERTION
34669

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pnpm dlx add-skill https://github.com/borghei/Claude-Skills/tree/HEAD/vertical-advisors/proptech-advisor

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vertical-advisors/proptech-advisor/SKILL.md

Skill Metadata

Name
proptech-advisor
Description
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Proptech Advisor

Strategic frameworks for property-technology founders, operators, and product leaders.

Disclaimer: Frameworks only. Real estate is heavily regulated state-by-state — engage real-estate-licensed counsel for binding decisions.

Keywords

proptech, real estate, real-estate, MLS, brokerage, broker, agent, iBuyer, property management, multifamily, commercial real estate, CRE, RESPA, fair housing, listings, transaction, escrow, title

Quick Start

python scripts/market_segment_classifier.py description.txt

Classifies a proptech idea by segment (transaction / listings / financing / management / services / data) and surfaces the regulatory and business considerations for that segment.

Core Workflows

Workflow 1: Market Segment Classification

  1. Run the classifier to identify the segment
  2. Cross-reference with references/proptech_segments.md
  3. Identify regulatory exposure: state real-estate licensing, RESPA, fair housing, MLS access
  4. Decide go/no-go before deeper investment

Time Estimate: 4-6 weeks for first scope.

Workflow 2: Brokerage / MLS Strategy

  1. Read references/mls_and_brokerage.md
  2. Decide: become a broker (license required), partner with one, or stay outside the transaction
  3. Plan MLS access strategy (RESO Web API, IDX, VOW, broker reciprocity)
  4. Engage real-estate counsel before customer-facing launch

Time Estimate: 4-12 weeks depending on path.

Workflow 3: Residential vs Commercial Decision

  1. Each is a different industry. Commercial has different buyers, deal sizes, sales cycles, regulations.
  2. Pick one for first $1M-$5M ARR; expand only after that motion is repeatable.

Time Estimate: 4-8 weeks.

Tools

market_segment_classifier.py

Classifies a proptech business description into one or more proptech segments and surfaces the regulatory considerations for each.

python scripts/market_segment_classifier.py description.txt
python scripts/market_segment_classifier.py description.txt --json

Segments detected:

  • Transaction (iBuyer, marketplace, brokerage tech)
  • Listings (search, valuation, comparable analysis)
  • Financing (mortgage tech, alt financing, rent-to-own)
  • Management (property management, multifamily ops, tenant experience)
  • Services (insurance, title, escrow, inspection, moving)
  • Data and infrastructure (PropTech B2B SaaS for industry players)

Reference Guides

  • references/proptech_segments.md — Segments overview, regulatory exposure per segment, business model patterns
  • references/mls_and_brokerage.md — How MLS works, IDX/VOW/RESO, broker licensing, partnership models

Templates

  • assets/proptech_segment_assessment.md — Decision template for capturing segment, regulatory, GTM decisions

Best Practices

  • Real estate is state-by-state. US has 50+ regulatory regimes for licensing, agency, fair housing, escrow, and disclosure.
  • MLS is gated. Most MLSs require broker membership for full access. Plan accordingly.
  • RESPA is real. Real Estate Settlement Procedures Act prohibits kickbacks; affiliated business arrangements need proper structuring.
  • Fair housing is non-negotiable. Algorithms ranking properties by neighborhood demographics or "school quality" can produce illegal disparate impact.
  • Residential and commercial are different industries. Don't try to serve both in one product.
  • Cyclical industry. Transaction-based proptech sees revenue swings with rate cycles; build resilience.