Menu
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| 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 | {"kabot":{"emoji":"📍","requires":{"bins":["uv"],"env":["GOOGLE_PLACES_API_KEY"]},"primaryEnv":"GOOGLE_PLACES_API_KEY"}} |
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}'
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
}'
curl http://127.0.0.1:8000/places/{place_id}
location_bias from chosen locationfilters.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 incrementsfilters.open_now: booleanlimit: 1-20 for search, 1-10 for resolvelocation_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.
Inspect and safely update Kabot configuration, model/memory/provider settings, channel account policies, allowlists, and related status or log evidence when debugging why a setting or runtime behavior is wrong.
Use when users ask about current weather, temperature, rain, or near-term forecasts for a real location. Not for historical weather archives, official severe-weather alerts, aviation, marine, or climate-trend analysis.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Mengunduh file dari URL ke direktori workspace lokal kabot dengan verifikasi hash dan indexing memory.
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Allows the agent to restart or shut down the bot.