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james-southendsolutions

Fitness Finder Locations

cross-platform ✓ Security Clean
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Install in OpenClaw
/install camino-fitness-finder
Description
Search for gyms, yoga studios, swimming pools, and sports facilities using Camino AI's location intelligence with AI-powered ranking.
README (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": "[email protected]"}' \
  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
Usage Guidance
This skill appears to be what it claims: a wrapper around Camino's location API. Before installing: 1) Verify the GitHub repository and publisher (the SKILL.md references installation from a repo) to ensure you trust the source. 2) Use the trial key or a scoped key if possible; store the CAMINO_API_KEY only in places you control (the README suggests ~/.claude/settings.json). 3) Be aware the skill makes network requests to api.getcamino.ai and will transmit query parameters (location/search terms). 4) Ensure jq and curl are installed and that you are comfortable with the CLI install commands. 5) If you stop using the skill, revoke the API key from your Camino account. Overall risk is low and proportional to its stated purpose.
Capability Analysis
Type: OpenClaw Skill Name: camino-fitness-finder Version: 0.1.0 The skill bundle is benign. The `SKILL.md` provides clear documentation and setup instructions without any prompt injection attempts against the agent. The `scripts/fitness-finder.sh` script properly validates JSON input, URL-encodes the `query` parameter using `jq`, and correctly double-quotes the constructed URL in the `curl` command, preventing shell injection vulnerabilities. All network calls are directed to `https://api.getcamino.ai`, which aligns with the skill's stated purpose, and there is no evidence of data exfiltration, malicious execution, or persistence mechanisms.
Capability Assessment
Purpose & Capability
Name/description (fitness location search) match the requested credential (CAMINO_API_KEY) and the actions in SKILL.md and the shell script (HTTP calls to api.getcamino.ai). Nothing requested appears unrelated to finding fitness locations.
Instruction Scope
Runtime instructions and the included scripts are limited to building a query, calling Camino's API, and printing JSON results. The SKILL.md does not instruct reading unrelated files or environment variables beyond CAMINO_API_KEY, nor sending data to unexpected endpoints.
Install Mechanism
No install spec is provided (instruction-only with a companion script). Suggested install commands reference a GitHub repo via npx/clawhub which is typical; nothing downloads arbitrary or obfuscated binaries directly in the files reviewed.
Credentials
Only a single API key (CAMINO_API_KEY) is required and is necessary for the documented HTTP requests. No additional secrets, system configs, or unrelated credentials are requested.
Persistence & Privilege
always is false and the skill does not request persistent or system-wide changes. The SKILL.md suggests adding the API key to a local Claude settings file, which is a user-side convenience rather than an elevated privilege request.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install camino-fitness-finder
  3. After installation, invoke the skill by name or use /camino-fitness-finder
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release: Search gyms, yoga studios, pools, and sports facilities with AI-powered ranking. - Supports location-based queries using OpenStreetMap data and Camino AI. - Flexible querying: filter by facility type, location, radius, and limit. - Provides AI-ranked results with distance, relevance, and address details. - Offers multiple integration methods: shell script, curl, and clawhub. - Includes usage examples and best practice recommendations for combining with other Camino location skills.
Metadata
Slug camino-fitness-finder
Version 0.1.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Fitness Finder Locations?

Search for gyms, yoga studios, swimming pools, and sports facilities using Camino AI's location intelligence with AI-powered ranking. It is an AI Agent Skill for Claude Code / OpenClaw, with 633 downloads so far.

How do I install Fitness Finder Locations?

Run "/install camino-fitness-finder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Fitness Finder Locations free?

Yes, Fitness Finder Locations is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Fitness Finder Locations support?

Fitness Finder Locations is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Fitness Finder Locations?

It is built and maintained by James-southendsolutions (@james-southendsolutions); the current version is v0.1.0.

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