Installation

Companion Skills: This is part of the Camino AI location intelligence suite. Install all available skills (query, places, relationship, context, route, journey, real-estate, hotel-finder, ev-charger, school-finder, parking-finder, fitness-finder, safety-checker, travel-planner) 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 fitness-finder

Via clawhub:

npx clawhub@latest install fitness-finder

or: pnpm dlx clawhub@latest install fitness-finder

or: bunx clawhub@latest install fitness-finder

Gym & Fitness Finder

Search for gyms, yoga studios, swimming pools, and sports facilities near any location. Uses OpenStreetMap data with AI-powered ranking to find the most relevant fitness options.

Setup

Instant Trial (no signup required): Get a temporary API key with 25 calls:

curl -s -X POST -H "Content-Type: application/json"
-d '{"email": "you@example.com"}'
https://api.getcamino.ai/trial/start

Returns: {"api_key": "camino-xxx...", "calls_remaining": 25, ...}

For 1,000 free calls/month, sign up at https://app.getcamino.ai/skills/activate.

Add your key to Claude Code:

Add to your ~/.claude/settings.json :

{ "env": { "CAMINO_API_KEY": "your-api-key-here" } }

Restart Claude Code.

Usage

Via Shell Script

Find gyms and fitness centers nearby

./scripts/fitness-finder.sh '{"lat": 40.7589, "lon": -73.9851}'

Search for yoga studios specifically

./scripts/fitness-finder.sh '{"query": "yoga studios", "lat": 30.2672, "lon": -97.7431}'

Find swimming pools in a city

./scripts/fitness-finder.sh '{"query": "swimming pools in Chicago", "limit": 10}'

Via curl

curl -H "X-API-Key: $CAMINO_API_KEY"
"https://api.getcamino.ai/query?query=gyms+yoga+studios+fitness+centers&lat=40.7589&lon=-73.9851&radius=1500&rank=true"

Parameters

Parameter Type Required Default Description

query string No "gyms yoga studios fitness centers" Search query (override for specific facility types)

lat float No

Latitude for search center. AI generates if omitted for known locations.

lon float No

Longitude for search center. AI generates if omitted for known locations.

radius int No 1500 Search radius in meters

limit int No 15 Maximum results (1-100)

Response Format

{ "query": "gyms yoga studios fitness centers", "results": [ { "name": "Equinox Fitness Club", "lat": 40.7595, "lon": -73.9845, "type": "fitness_centre", "distance_m": 80, "relevance_score": 0.96, "address": "..." } ], "ai_ranked": true, "pagination": { "total_results": 22, "limit": 15, "offset": 0, "has_more": true } }

Examples

Find yoga studios

./scripts/fitness-finder.sh '{"query": "yoga studios", "lat": 30.2672, "lon": -97.7431}'

Find gyms near a hotel

./scripts/fitness-finder.sh '{"query": "gyms and fitness centers near Times Square", "radius": 1000}'

Find sports facilities

./scripts/fitness-finder.sh '{"query": "tennis courts and sports facilities", "lat": 34.0522, "lon": -118.2437, "radius": 3000}'

Best Practices

• Use specific facility types in the query for targeted results (e.g., "yoga studios", "CrossFit gyms", "swimming pools")

• Use 1500m radius for urban areas, increase to 3000m for suburban locations

• Combine with the route skill to calculate walking or cycling times to the gym

• Combine with the real-estate skill when evaluating a neighborhood's fitness options

• Combine with the relationship skill to compare distances between multiple facilities

• For travelers, combine with hotel-finder to find lodging near fitness facilities