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Strategic advisory for proptech founders on real-estate segments, MLS/brokerage models, licensing, and business models.
Passed 19 of 22 test cases with the skill, and 8 of 22 without it.
and 8 more in the full report
11 fixed8 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have written a product description in `concept_summary.txt` for a tenant portal offering digital rent payments, maintenance requests, and insurance add-ons. Which repository script should we run to parse this text file, and what CLI option generates structured JSON output?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies running `python scripts/market_segment_classifier.py concept_summary.txt`. | Missed | Passed |
| Includes the `--json` flag for structured output. | Passed | Passed |
The instructions your model reads when the skill loads.
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.
proptech, real estate, real-estate, MLS, brokerage, broker, agent, iBuyer, property management, multifamily, commercial real estate, CRE, RESPA, fair housing, listings, transaction, escrow, title
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.
references/proptech_segments.mdTime Estimate: 4-6 weeks for first scope.
references/mls_and_brokerage.mdtest cases passed, vs 8 / 22 without
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