Property Listings

Property Listings Skill

Present researched properties as browsable cards in the Loki desktop transcript. This is a presentation recipe, not a listing search service or an investment valuation.

When to Use

• Presenting property or rental search results, comparing a shortlist, or re-ranking properties.
• Following up on a property already shown: keep using cards so the shortlist stays comparable.
• Outside the desktop app, use ordinary Markdown with source links instead; other clients need not render listing fences.

Prerequisites

• A Loki desktop conversation for native cards; the backend may be local or remote.
• Property details supplied by the user or verified through web_search, web_extract, or the browser tools available in this session.
• No additional API keys or dependencies are required for card formatting.

How to Run

Install this optional skill through the Skills catalog, or use terminal:

loki skills install official/productivity/property-listings

Load it with skill_view(name="property-listings") when presenting listings. Installing does not retrofit the running conversation's skill index; start a new conversation for automatic discovery, or explicitly load the installed skill now.

Quick Reference

Emit a fenced code block whose language is listing and whose body is valid JSON. Use one object, an array of objects, or { "listings": [...] } for a comparison.

Procedure

1. Gather the address, price, specs, photos and canonical detail URL. Distinguish verified facts from unknowns; do not invent prices, amenities, or photo URLs.
2. Deduplicate portal mirrors of the same property into one card, retaining useful source links. Keep source dates and availability caveats in the surrounding prose.
3. Emit the listing fence for every property presented, including follow-ups and re-rankings. Keep facts short and put unresolved concerns in catches.
4. Check the JSON before sending. This fictional format example illustrates all fields; replace its values and example URLs with verified listing data:

{
  "address": "12 Example Lane",
  "price": "$2,400/mo",
  "beds": 3,
  "baths": 2.5,
  "size": "1,600 sqft",
  "note": "Fits the requested space and budget.",
  "facts": ["12-month lease", "Covered parking"],
  "catches": ["Verify pet policy and total move-in fees"],
  "images": ["https://example.com/property/front.jpg", "https://example.com/property/kitchen.jpg"],
  "links": [{"label": "Listing details", "url": "https://example.com/property/12"}]
}

Pitfalls

• Cards are authored from gathered data, not fetched from a listing URL or embedded portal page.
• A sparse card needs only an address. Omit unknown fields rather than filling them with guesses.
• Use direct remote image URLs, not local paths, data URLs, or search-result pages. Expired or blocked images disappear from the gallery; the text and links still matter.
• Keep a fence to at most 24 properties, 40 images per property, and 12 entries in facts, catches and links. Text fields are truncated to 400 characters by the renderer.
• Malformed JSON or a card without identity falls back to a plain code block. A valid card is not proof that the underlying listing is current or accurate.

Verification

• Every presented property has an address and a verified source link; unknowns are explicit.
• Desktop displays the address, price, specs, facts, catches and links as a native card.
• Photos form a gallery; selecting a photo opens the lightbox. Three or more photos use a hero-and-supporting-frames mosaic; additional photos remain browsable there.
• If the card fails to render, validate the fence language and JSON, then preserve a readable Markdown fallback with the same facts and links.