Parking Finder

v0.1.0

Locate parking garages, lots, and street parking near your destination using Camino AI's location intelligence with AI-powered ranking.

2· 619·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for james-southendsolutions/camino-parking-finder.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Parking Finder" (james-southendsolutions/camino-parking-finder) from ClawHub.
Skill page: https://clawhub.ai/james-southendsolutions/camino-parking-finder
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: CAMINO_API_KEY
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Canonical install target

openclaw skills install james-southendsolutions/camino-parking-finder

ClawHub CLI

Package manager switcher

npx clawhub@latest install camino-parking-finder
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high confidence
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).
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🅿️ Clawdis
EnvCAMINO_API_KEY
Primary envCAMINO_API_KEY
latestvk97dwkt0znp68x3qa6pqebfyph819hd5
619downloads
2stars
1versions
Updated 2mo ago
v0.1.0
MIT-0

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": "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 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

ParameterTypeRequiredDefaultDescription
querystringNo"parking garages lots"Search query (override for specific parking types)
latfloatNo-Latitude for search center. AI generates if omitted for known locations.
lonfloatNo-Longitude for search center. AI generates if omitted for known locations.
radiusintNo1000Search radius in meters
limitintNo15Maximum 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

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