local-places

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Mis à jour1 février 2026 à 20:56

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

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

Source

clawd-meme

clawd-meme/clawdbot

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Téléchargement

Métiers associésSOC

Basé sur la classification professionnelle SOC

Développeurs de logicielsProfessions informatiques et mathématiques·SOC 15-1252

Explorateur de fichiers

7 fichiers

SKILL.md

readonly

name	local-places
description	Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
homepage	https://github.com/Hyaxia/local_places
metadata	{"clawdbot":{"emoji":"📍","requires":{"bins":["uv"],"env":["GOOGLE_PLACES_API_KEY"]},"primaryEnv":"GOOGLE_PLACES_API_KEY"}}

📍 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

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}

Conversation Flow

If user says "near me" or gives vague location → resolve it first
If multiple results → 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

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.

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name	local-places
description	Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
homepage	https://github.com/Hyaxia/local_places
metadata	{"clawdbot":{"emoji":"📍","requires":{"bins":["uv"],"env":["GOOGLE_PLACES_API_KEY"]},"primaryEnv":"GOOGLE_PLACES_API_KEY"}}

📍 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

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}

Conversation Flow

If user says "near me" or gives vague location → resolve it first
If multiple results → 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

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.