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local-places

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Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.

QUICK START

How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/api/local-places-saifaldin14-espada-auto/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/local-places/. Do not write files or run scripts until I approve.

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📍 Local Places

Find places, Go fast

Search for nearby places using a local Google Places API proxy. Two-step flow: resolve location first, then search.

Setup

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.

Quick Start

  1. Check server: curl http://127.0.0.1:8000/ping

  2. 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}'
  1. 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
  }'
  1. Get details:
curl http://127.0.0.1:8000/places/{place_id}

Conversation Flow

  1. If user says "near me" or gives vague location → resolve it first
  2. If multiple results → show numbered list, ask user to pick
  3. Ask for preferences: type, open now, rating, price level
  4. Search with location_bias from chosen location
  5. Present results with name, rating, address, open status
  6. Offer to fetch details or refine search

Filter Constraints

  • 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

Response Format

{
  "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.