メニュー
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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Migrate a user's OpenClaw customization footprint into Hermes Agent. Imports Hermes-compatible memories, SOUL.md, command allowlists, user skills, and selected workspace assets from ~/.openclaw, then reports exactly what could not be migrated and why.
Manage Apple Notes via the memo CLI on macOS (create, view, search, edit).
Manage Apple Reminders via remindctl CLI (list, add, complete, delete).
Send and receive iMessages/SMS via the imsg CLI on macOS.
Delegate coding tasks to Claude Code (Anthropic's CLI agent). Use for building features, refactoring, PR reviews, and iterative coding. Requires the claude CLI installed.
Spawn additional Hermes Agent instances as autonomous subprocesses for independent long-running tasks. Supports non-interactive one-shot mode (-q) and interactive PTY mode for multi-turn collaboration. Different from delegate_task — this runs a full separate hermes process.
| name | find-nearby |
| 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. |
| version | 1.0.0 |
| metadata | {"hermes":{"tags":["location","maps","nearby","places","restaurants","local"],"related_skills":[]}} |
Find restaurants, cafes, bars, pharmacies, and other places near any location. Uses OpenStreetMap (free, no API keys). Works with:
# 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
| 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 |
restaurant, cafe, bar, pub, fast_food, pharmacy, hospital, bank, atm, fuel, parking, supermarket, convenience, hotel
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 --json if 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 hours field in results — if missing or unclear, verify with web_search.
For directions, use the directions_url from results, or construct: https://www.google.com/maps/dir/?api=1&origin=<LAT>,<LON>&destination=<LAT>,<LON>
hours field in results, cross-reference with web_search for accuracy since OSM hours aren't always complete