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Fitness Finder Locations

作者 James-southendsolutions · GitHub ↗ · v0.1.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install camino-fitness-finder
功能描述
Search for gyms, yoga studios, swimming pools, and sports facilities using Camino AI's location intelligence with AI-powered ranking.
使用说明 (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
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install camino-fitness-finder
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /camino-fitness-finder 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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.
元数据
Slug camino-fitness-finder
版本 0.1.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Fitness Finder Locations 是什么?

Search for gyms, yoga studios, swimming pools, and sports facilities using Camino AI's location intelligence with AI-powered ranking. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 633 次。

如何安装 Fitness Finder Locations?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install camino-fitness-finder」即可一键安装,无需额外配置。

Fitness Finder Locations 是免费的吗?

是的,Fitness Finder Locations 完全免费(开源免费),可自由下载、安装和使用。

Fitness Finder Locations 支持哪些平台?

Fitness Finder Locations 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Fitness Finder Locations?

由 James-southendsolutions(@james-southendsolutions)开发并维护,当前版本 v0.1.0。

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