fitness-finder

SKILL.md

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
Weekly Installs
17
First Seen
Feb 9, 2026
Installed on
opencode13
gemini-cli13
github-copilot13
codex13
amp13
kimi-cli13