camino-places_skill

This skill locates places via free-form queries or structured addresses, returning coordinates, addresses, and optional street-level photos for geocoding and
  • Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill camino-places

  • _meta.json295 B
  • SKILL.md5.3 KB

Overview

This skill locates places using flexible queries: free-form search or structured address components. It returns coordinates, standardized addresses, place types, relevance scores, and optional street-level photos. Use it for geocoding, named-place lookup, or retrieving visual context for map features.

How this skill works

Send either a free-form query (e.g., "Eiffel Tower") or one or more structured address fields (street, city, state, postalcode). The service searches geospatial indices and returns matching places with lat/lon, display names, address breakdowns, type and importance. Optionally include street-level imagery and control search depth via a basic/advanced mode and result limits.

When to use it

  • Geocode a postal address into precise coordinates for mapping or routing
  • Find a specific landmark, business, or POI by name
  • Retrieve street-level photos to validate appearance or orientation
  • Batch-lookup places from forms or datasets for enrichment
  • Limit results or radius when you need nearby photos or local context

Best practices

  • Use structured address fields for precise geocoding and fewer false positives
  • Use free-form query for well-known landmarks and POIs
  • Enable include_photos only when visual context is needed to save bandwidth
  • Set limit between 1–50 to control response size and performance
  • Use mode: "advanced" when you want richer, web-enriched place metadata

Example use cases

  • Convert street addresses into coordinates for a delivery app
  • Locate a named attraction and fetch nearby street-level photos for a travel guide
  • Verify business locations returned from user input before displaying them
  • Search by postal code to populate neighborhood results in a real-estate app
  • Run bulk place lookups to enrich an archive of historical listings

FAQ

No. Either a free-form query or at least one structured address component is required; full addresses give the most precise geocoding.

How do I request street-level imagery?

Set include_photos to true and optionally adjust photo_radius (10–500 meters) to control which nearby images are returned.

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camino-places skill by openclaw/skills | VeilStrat