rental-search-due-diligence-ops

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Run bounded rental-search due diligence for apartments or homes by ranking candidates against commute, budget, amenities, reviews, exact-unit risks, tour questions, and stop conditions.

georgewangyu By georgewangyu schedule Updated 5/5/2026

name: rental-search-due-diligence-ops description: Run bounded rental-search due diligence for apartments or homes by ranking candidates against commute, budget, amenities, reviews, exact-unit risks, tour questions, and stop conditions. memory_tags: - domain:housing - workflow:rental-due-diligence - repo_boundary:tools - inputs:web - outputs:ranked-shortlist - risk:medium

Rental Search Due Diligence Ops

Trigger

Use when:

  • the user is comparing rental apartments or homes
  • the user asks for a ranked shortlist, tour checklist, or review-risk pass
  • rental research is becoming open-ended and needs a bounded decision workflow
  • the user has candidates and needs exact-unit due diligence before applying or signing

Do not use when:

  • the user is buying property rather than renting
  • the user needs legal advice about a lease
  • there are no candidate properties, area, or must-have constraints yet

Inputs

  • Required: city/area, budget, commute anchor, must-haves, candidate list or search radius
  • Optional: nice-to-haves, review threshold, building age preference, safety concerns, pet/parking/EV/AC needs, tour date, unit links

Workflow

  1. Confirm constraints:
    • budget and all-in cost assumptions
    • commute time and route type
    • must-haves and dealbreakers
    • preferred building feel and unit size
  2. Build or clean the candidate set:
    • remove obvious mismatches
    • identify missing data
    • avoid expanding the search unless the current set fails
  3. Score each candidate:
    • commute
    • price/value
    • exact-unit size/layout/light/noise
    • amenities that matter
    • review signal and complaint clusters
    • management/maintenance risk
    • block-level safety or access concerns
    • lease/application friction
  4. Separate building-level and unit-level risk.
  5. Write a tour or leasing-email script:
    • exact-unit questions
    • noise and construction questions
    • package/garage/access questions
    • utility, AC/heat, internet, and fee questions
    • move-in and concession details
  6. Set a stop condition:
    • maximum number of candidates
    • next decision checkpoint
    • what evidence would make the top candidate signable

Output Contract

Return:

  • ranked shortlist
  • reject/deprioritize list
  • missing-data list
  • exact-unit risk checklist
  • review-risk summary
  • tour/leasing questions
  • recommended next action
  • explicit stop condition

Boundaries

  • Do not give legal advice.
  • Treat reviews as signal, not proof.
  • Keep location examples generic; do not hardcode private addresses or personal defaults.
  • Prefer bounded due diligence over endless candidate expansion.
Install via CLI
npx skills add https://github.com/georgewangyu/georgeskills --skill rental-search-due-diligence-ops
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