find-nearby
Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.
- License 许可
- MIT
- 最近更新
- 2026-11-11
- Stars
- ★ 6
- Forks
- 0
01 前言 Front Matter
- name
- find-nearby
- version
- 1.0.0
- metadata
- { "hermes": { "tags": [ "location", "maps", "nearby", "places", "restaurants", "local" ], "related_skills": [] } }
- description
- Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.
02 资源文件 3
- 参考文档_meta.json117 B
- 参考文档README.md136 B
- 脚本scripts/find_nearby.py6.6 KB
03 SKILL.md 正文
Find Nearby — Local Place Discovery
Find restaurants, cafes, bars, pharmacies, and other places near any location. Uses OpenStreetMap (free, no API keys). Works with:
- Coordinates from Telegram location pins (latitude/longitude in conversation)
- Addresses ("near 123 Main St, Springfield")
- Cities ("restaurants in downtown Austin")
- Zip codes ("pharmacies near 90210")
- Landmarks ("cafes near Times Square")
Quick Reference
# By coordinates (from Telegram location pin or user-provided)
python3 SKILL_DIR/scripts/find_nearby.py --lat <LAT> --lon <LON> --type restaurant --radius 1500
# By address, city, or landmark (auto-geocoded)
python3 SKILL_DIR/scripts/find_nearby.py --near "Times Square, New York" --type cafe
# Multiple place types
python3 SKILL_DIR/scripts/find_nearby.py --near "downtown austin" --type restaurant --type bar --limit 10
# JSON output
python3 SKILL_DIR/scripts/find_nearby.py --near "90210" --type pharmacy --json
Parameters
| Flag | Description | Default |
|---|---|---|
--lat, --lon |
Exact coordinates | — |
--near |
Address, city, zip, or landmark (geocoded) | — |
--type |
Place type (repeatable for multiple) | restaurant |
--radius |
Search radius in meters | 1500 |
--limit |
Max results | 15 |
--json |
Machine-readable JSON output | off |
Common Place Types
restaurant, cafe, bar, pub, fast_food, pharmacy, hospital, bank, atm, fuel, parking, supermarket, convenience, hotel
Workflow
-
Get the location. Look for coordinates (
latitude: ... / longitude: ...) from a Telegram pin, or ask the user for an address/city/zip. -
Ask for preferences (only if not already stated): place type, how far they're willing to go, any specifics (cuisine, "open now", etc.).
-
Run the script with appropriate flags. Use
--jsonif you need to process results programmatically. -
Present results with names, distances, and Google Maps links. If the user asked about hours or "open now," check the
hoursfield in results — if missing or unclear, verify withweb_search. -
For directions, use the
directions_urlfrom results, or construct:https://www.google.com/maps/dir/?api=1&origin=<LAT>,<LON>&destination=<LAT>,<LON>
Tips
- If results are sparse, widen the radius (1500 → 3000m)
- For "open now" requests: check the
hoursfield in results, cross-reference withweb_searchfor accuracy since OSM hours aren't always complete - Zip codes alone can be ambiguous globally — prompt the user for country/state if results look wrong
- The script uses OpenStreetMap data which is community-maintained; coverage varies by region
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