skills$openclaw/places
barneyjm1.2k

by barneyjm

places – OpenClaw Skill

places is an OpenClaw Skills integration for coding workflows. Locate places using flexible query formats - free-form search or structured address components. Returns coordinates, addresses, and optional street-level photos. Use for geocoding addresses or finding specific named places.

1.2k stars3.6k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026coding

Skill Snapshot

nameplaces
descriptionLocate places using flexible query formats - free-form search or structured address components. Returns coordinates, addresses, and optional street-level photos. Use for geocoding addresses or finding specific named places. OpenClaw Skills integration.
ownerbarneyjm
repositorybarneyjm/places
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @barneyjm/places
last updatedFeb 7, 2026

Maintainer

barneyjm

barneyjm

Maintains places in the OpenClaw Skills directory.

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4 files
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scripts
places.sh
1.8 KB
_meta.json
444 B
SKILL.md
4.8 KB
SKILL.md

name: places description: "Locate places using flexible query formats - free-form search or structured address components. Returns coordinates, addresses, and optional street-level photos. Use for geocoding addresses or finding specific named places." metadata: {"clawdbot":{"emoji":"📌","requires":{"env":["CAMINO_API_KEY"]},"primaryEnv":"CAMINO_API_KEY"}}

Installation

Companion Skills: This is part of the Camino AI location intelligence suite. Install all 6 skills (query, places, relationship, context, route, journey) for comprehensive coverage.

# Install all skills from repo
npx skills add https://github.com/barneyjm/camino-skills

# Or install specific skills
npx skills add https://github.com/barneyjm/camino-skills --skill places

Via clawhub:

npx clawhub@latest install places
# or: pnpm dlx clawhub@latest install places
# or: bunx clawhub@latest install places

Places - Flexible Place Lookup

Locate places using free-form queries or structured address components. Supports geocoding, place lookup, and optional street-level imagery.

Places vs Query

Feature/places/query
MethodPOSTGET
InputFree-form OR structured addressNatural language with context
CoordinatesReturns them (geocoding)Can auto-generate for search center
AI RankingNoYes
PhotosOptional street-level imageryNo
Best For"Eiffel Tower", address lookup"quiet cafes near Times Square"

Use /places for geocoding addresses or finding specific named places. Use /query for natural language queries with AI ranking.

Setup

  1. Get your API key from https://app.getcamino.ai
  2. Add to your ~/.claude/settings.json:
{
  "env": {
    "CAMINO_API_KEY": "your-api-key-here"
  }
}
  1. Restart Claude Code

Usage

Via Shell Script

# Free-form search for a landmark
./scripts/places.sh '{"query": "Eiffel Tower"}'

# Search with street-level photos
./scripts/places.sh '{"query": "Empire State Building", "include_photos": true}'

# Structured address search
./scripts/places.sh '{"street": "1600 Pennsylvania Avenue", "city": "Washington", "state": "DC", "country": "USA"}'

# Search by city
./scripts/places.sh '{"city": "San Francisco", "state": "California", "limit": 5}'

Via curl (direct API calls)

The skill is named places but calls the /search API endpoint. For direct API calls:

curl -X POST -H "X-API-Key: $CAMINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "Eiffel Tower", "include_photos": true}' \
  "https://api.getcamino.ai/search"

Parameters

ParameterTypeRequiredDefaultDescription
querystringNo*-Free-form search (e.g., "Eiffel Tower", "Central Park")
amenitystringNo-Amenity/POI type
streetstringNo-Street name and number
citystringNo-City name
countystringNo-County name
statestringNo-State or province
countrystringNo-Country name or code
postalcodestringNo-Postal/ZIP code
limitintNo10Maximum results (1-50)
include_photosboolNofalseInclude street-level imagery
photo_radiusintNo100Photo search radius in meters (10-500)
modestringNo"basic""basic" or "advanced" search depth

*Either query or at least one address component is required.

Response Format

[
  {
    "display_name": "Eiffel Tower, 5 Avenue Anatole France, 75007 Paris, France",
    "lat": 48.8584,
    "lon": 2.2945,
    "type": "tourism",
    "importance": 0.95,
    "address": {
      "tourism": "Eiffel Tower",
      "road": "Avenue Anatole France",
      "city": "Paris",
      "country": "France",
      "postcode": "75007"
    },
    "photos": [
      {
        "url": "https://...",
        "lat": 48.8580,
        "lon": 2.2948,
        "heading": 45
      }
    ],
    "has_street_imagery": true
  }
]

Examples

Geocode an address

./scripts/places.sh '{"street": "350 Fifth Avenue", "city": "New York", "state": "NY"}'

Find a landmark with photos

./scripts/places.sh '{"query": "Statue of Liberty", "include_photos": true, "photo_radius": 200}'

Search by postal code

./scripts/places.sh '{"postalcode": "90210", "country": "USA"}'

Advanced mode for richer data

./scripts/places.sh '{"query": "Times Square", "mode": "advanced", "include_photos": true}'

Best Practices

  • Use query for landmarks, POIs, and well-known places
  • Use structured address fields for precise geocoding
  • Enable include_photos when you need visual context
  • Use mode: "advanced" for web-enriched place data
  • Combine address components for more accurate results
README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

FAQ

How do I install places?

Run openclaw add @barneyjm/places in your terminal. This installs places into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/barneyjm/places. Review commits and README documentation before installing.