Quarry parcels
Skill Fusion-Data-Company/bristol-os/plugins/bristol-os/skills/quarry-parcels
One-paste Claude setup that turns Claude into an institutional multifamily research & underwriting teammate for Bristol Development Group — zero-config, fully cited, self-evolving (V1→V2→V3).
npx -y skills add Fusion-Data-Company/bristol-os --skill quarry-parcelsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Get parcel data on any property — owner, mailing address, absentee flag, zoning, units, year built, sqft, acreage, and value — from Bristol's Quarry engine. This is the default way to answer ANY "who owns this," "pull the parcel," "what's the zoning," "what's it worth," or property-owner question. No map, no key, no paid service — just the data, returned and dropped into the one-pager.
SKILL.md
2.6 KB, as published. Nobody here has run it
Quarry — Parcel Data
Bristol's own parcel engine. When anyone asks about a property, this is where the answer comes from — not a paid lookup site, not a map they have to click. Claude queries it and returns the facts.
HARD LAW
If they ask for parcel data, just get it and give it to them. Don't open a map, don't explain how, don't ask them to do anything. Run the query, read back the answer, and put it in the one-pager/deal folder.
How (Claude runs this; user does nothing, no key needed)
# by address (auto-geocodes, free)
python bristol-os/skills/quarry-parcels/quarry_lookup.py --address "381 Mallory Station Rd, Franklin TN"
# by coordinates
python bristol-os/skills/quarry-parcels/quarry_lookup.py --lat 36.16 --lng -86.78
# everything in a map area (returns a list — no map shown)
python bristol-os/skills/quarry-parcels/quarry_lookup.py --bbox "-86.90,35.90,-86.80,35.97" --limit 200
The base URL is baked in; parcel lookups need no key and cost nothing. It returns JSON — owner, mailing address, absentee flag, county, APN, acreage, lot sqft, zoning, year built, building sqft, units, and value.
What to do with the result
- Read it back in plain English ("This parcel is owned by 616 Church LLC — an absentee owner mailing to Cleveland, OH; 0.09 acres, zoned Downtown Code, appraised at $X").
- Drop it straight into the site one-pager (
bristol-os/templates/site-one-pager.md) owner/zoning/value fields, and save to the deal folder. - Cite "Quarry" + the date.
- If it returns null, say the parcel wasn't found — never invent it.
Owner contact (skip-trace, optional)
Quarry can also return the owner's phone/email. Run with --skiptrace:
python bristol-os/skills/quarry-parcels/quarry_lookup.py --skiptrace --address "123 Main St, Nashville TN"
python bristol-os/skills/quarry-parcels/quarry_lookup.py --skiptrace --apn 0123456789
Returns up to 2 phones + 2 emails with confidence. This draws on Bristol's Quarry account.
Feeds
- site-selection / one-pager: owner, zoning, units, acreage, value.
- investor-sourcing / owner outreach: owner + mailing address (+ contact via
--skiptrace). - market-comp-analysis:
--bboxto inventory nearby parcels.