Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Parking Finder
Locate parking garages, lots, and street parking near your destination using Camino AI's location intelligence with AI-powered ranking.
skill openclawclawhub Free
Locate parking garages, lots, and street parking near your destination using Camino AI's location intelligence with AI-powered ranking.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/parking-finder.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- James-southendsolutions
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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.
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
ParameterTypeRequiredDefaultDescriptionquerystringNo"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 meterslimitintNo15Maximum 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 } }
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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/parking-finder.sh