Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Find places, Go fast Search for nearby places using a local Google Places API proxy. Two-step flow: resolve location first, then search.
cd {baseDir} echo "GOOGLE_PLACES_API_KEY=your-key" > .env uv venv && uv pip install -e ".[dev]" uv run --env-file .env uvicorn local_places.main:app --host 127.0.0.1 --port 8000 Requires GOOGLE_PLACES_API_KEY in .env or environment.
Check server: curl http://127.0.0.1:8000/ping Resolve location: curl -X POST http://127.0.0.1:8000/locations/resolve \ -H "Content-Type: application/json" \ -d '{"location_text": "Soho, London", "limit": 5}' Search places: curl -X POST http://127.0.0.1:8000/places/search \ -H "Content-Type: application/json" \ -d '{ "query": "coffee shop", "location_bias": {"lat": 51.5137, "lng": -0.1366, "radius_m": 1000}, "filters": {"open_now": true, "min_rating": 4.0}, "limit": 10 }' Get details: curl http://127.0.0.1:8000/places/{place_id}
If user says "near me" or gives vague location โ resolve it first If multiple results โ show numbered list, ask user to pick Ask for preferences: type, open now, rating, price level Search with location_bias from chosen location Present results with name, rating, address, open status Offer to fetch details or refine search
filters.types: exactly ONE type (e.g., "restaurant", "cafe", "gym") filters.price_levels: integers 0-4 (0=free, 4=very expensive) filters.min_rating: 0-5 in 0.5 increments filters.open_now: boolean limit: 1-20 for search, 1-10 for resolve location_bias.radius_m: must be > 0
{ "results": [ { "place_id": "ChIJ...", "name": "Coffee Shop", "address": "123 Main St", "location": {"lat": 51.5, "lng": -0.1}, "rating": 4.6, "price_level": 2, "types": ["cafe", "food"], "open_now": true } ], "next_page_token": "..." } Use next_page_token as page_token in next request for more results.
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