LaunchKit · 2026
Back to Skills

camino-hotel-finder

Search for hotels, hostels, and lodging near landmarks, conference venues, or neighborhoods using Camino AI's.

2
461 downloads
by @james-southendsolutions

Setup & Installation

openclaw skills install @james-southendsolutions/camino-hotel-finder

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install camino-hotel-finder

What This Skill Does

Searches for hotels, hostels, and lodging near landmarks, neighborhoods, or conference venues using the Camino AI API. Returns AI-ranked results with distances, relevance scores, and a natural language summary. Coordinates are optional for well-known locations.

Natural language queries eliminate the need to look up coordinates manually, since the API infers location context for known landmarks.

When to use it

  • Finding hotels near a conference center before booking travel
  • Locating budget hostels in a city center within a specific radius
  • Searching for airport hotels when a flight is delayed
  • Comparing lodging options near a tourist landmark
  • Checking accommodation availability near a specific address or neighborhood

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Find hotels within 1km of the Moscone Center in San Francisco

AGENT
  1. 1Parses the query and extracts location reference and radius
  2. 2Calls Camino AI API with query string and radius parameter
  3. 3API resolves Moscone Center coordinates automatically
  4. 4Returns AI-ranked hotel list with distances and relevance scores
  5. 5Presents results with a natural language summary
OUTPUT

A ranked list of hotels within 1km of Moscone Center, each with name, distance, address, and relevance score, plus a summary sentence

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

CAMINO_API_KEY environment variable (free trial via curl or sign up at app.getcamino.ai/skills/activate for 1,000 calls/month)