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james-southendsolutions

Parking Finder

cross-platform ✓ Security Clean
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Install in OpenClaw
/install camino-parking-finder
Description
Locate parking garages, lots, and street parking near your destination 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 parking-finder

Via clawhub:

npx clawhub@latest install parking-finder
# or: pnpm dlx clawhub@latest install parking-finder
# or: bunx clawhub@latest install parking-finder

Parking Finder

Locate parking garages, lots, and street parking near your destination. Uses OpenStreetMap data with AI-powered ranking to find the most relevant parking 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 parking near a venue
./scripts/parking-finder.sh '{"query": "parking near Madison Square Garden", "limit": 10}'

# Find parking with coordinates
./scripts/parking-finder.sh '{"lat": 40.7505, "lon": -73.9934, "radius": 500}'

# Find parking garages specifically
./scripts/parking-finder.sh '{"query": "parking garages", "lat": 37.7749, "lon": -122.4194}'

Via curl

curl -H "X-API-Key: $CAMINO_API_KEY" \
  "https://api.getcamino.ai/query?query=parking+garages+lots&lat=40.7505&lon=-73.9934&radius=1000&rank=true"

Parameters

Parameter Type Required Default Description
query string No "parking garages lots" Search query (override for specific parking 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 1000 Search radius in meters
limit int No 15 Maximum results (1-100)

Response Format

{
  "query": "parking garages lots",
  "results": [
    {
      "name": "Icon Parking - West 33rd Street",
      "lat": 40.7502,
      "lon": -73.9930,
      "type": "parking",
      "distance_m": 120,
      "relevance_score": 0.93,
      "address": "..."
    }
  ],
  "ai_ranked": true,
  "pagination": {
    "total_results": 11,
    "limit": 15,
    "offset": 0,
    "has_more": false
  }
}

Examples

Parking near a stadium

./scripts/parking-finder.sh '{"query": "parking near Dodger Stadium", "radius": 2000}'

Parking near an airport

./scripts/parking-finder.sh '{"query": "long term parking near SFO airport", "radius": 3000}'

Parking in a downtown area

./scripts/parking-finder.sh '{"lat": 41.8781, "lon": -87.6298, "radius": 800, "limit": 10}'

Best Practices

  • Use a smaller radius (500-1000m) in dense urban areas where parking is nearby but hard to find
  • Use a larger radius (2000-3000m) near stadiums, airports, or suburban destinations
  • Include the venue name in your query for contextual results (e.g., "parking near Madison Square Garden")
  • Combine with the route skill to get walking directions from parking to your destination
  • Combine with the relationship skill to compare distances between multiple parking options
  • Specify "parking garages" or "street parking" in the query for more targeted results
Usage Guidance
This skill appears to do what it says: it sends parking/location queries to api.getcamino.ai and needs a CAMINO_API_KEY. Before installing or running: ensure you trust getcamino.ai and the GitHub repo referenced in the README if you plan to run the npx install; review any downloaded code. The included script requires curl and jq and will send location queries (lat/lon/query) to the Camino API using your API key, so avoid using a high-privilege or unrelated secret. If you obtain a trial key for testing, prefer a low-privilege/test key and rotate or revoke it if exposed.
Capability Analysis
Type: OpenClaw Skill Name: camino-parking-finder Version: 0.1.0 The skill bundle is benign. The `SKILL.md` provides clear, non-malicious instructions for installation and usage, including obtaining an API key from `api.getcamino.ai`. The `scripts/parking-finder.sh` script demonstrates good security practices by validating JSON input and, critically, URL-encoding the user-provided 'query' parameter using `jq -rn --arg v "$query" '$v|@uri'` before constructing the `curl` request. This prevents shell injection vulnerabilities. The script only communicates with the expected `api.getcamino.ai` endpoint and uses the `CAMINO_API_KEY` from environment variables, without attempting unauthorized file access, data exfiltration, or malicious execution.
Capability Assessment
Purpose & Capability
Name/description match the actual behavior: the script and SKILL.md call https://api.getcamino.ai to search for parking. Requesting CAMINO_API_KEY is appropriate and expected.
Instruction Scope
Runtime instructions and the included shell script only build a query from user JSON and call Camino's API. They reference putting the API key into ~/.claude/settings.json and show curl examples; they do not attempt to read unrelated files, other credentials, or exfiltrate data to unexpected endpoints.
Install Mechanism
The skill has no automated install spec in the manifest (instruction-only) and includes a small shell script. The SKILL.md suggests installing companion skills via npx from a GitHub repo (https://github.com/barneyjm/camino-skills); that will download code from an external source and should be reviewed before running, but it is not required for basic function.
Credentials
Only a single credential (CAMINO_API_KEY) is required, which is proportional to a cloud API-backed parking lookup. The script uses only that env var and standard tools (curl, jq).
Persistence & Privilege
always is false and the skill does not request system-wide config changes or other skills' credentials. It only instructs storing the API key in the user's Claude settings (a user-facing config file).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install camino-parking-finder
  3. After installation, invoke the skill by name or use /camino-parking-finder
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of parking-finder skill. - Find parking garages, lots, and street parking near your destination using Camino AI’s location intelligence and AI-powered ranking. - Supports queries by address, location, or coordinates; flexible radius and result limits. - Returns AI-ranked parking options including distance and relevance scores. - Includes setup and usage instructions for shell scripts and API (curl), with example queries. - Part of the Camino AI suite for integrated location intelligence tasks.
Metadata
Slug camino-parking-finder
Version 0.1.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Parking Finder?

Locate parking garages, lots, and street parking near your destination using Camino AI's location intelligence with AI-powered ranking. It is an AI Agent Skill for Claude Code / OpenClaw, with 631 downloads so far.

How do I install Parking Finder?

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

Is Parking Finder free?

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

Which platforms does Parking Finder support?

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

Who created Parking Finder?

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

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